The Chief Data & Analytics Office (CDAO) at JPMorgan Chase Asset and Wealth Management (AWM) is responsible for accelerating AWM's data and analytics journey. The Strategic Data Provisioning (SDP) team plays a critical role in modelling behaviours to drive adoption, manage dependencies, align resources, foster innovation, and demonstrate value across the data lifecycle. We are seeking an execution-focused Strategic Data Provisioning Specialist / Lead to deliver on four primary service areas: provisioning new and differentiated data, tracing and uplifting lineage, resolving data quality issues, and uplifting existing data. This role requires a unique combination of deep technical expertise, strategic thinking, and collaborative leadership to make data available for AI/analytics, provide transparency into data flows, embed preventative controls, and enrich metadata to accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available for AI and analytics initiatives, working closely with use case owners to define requirements and manage product dependencies Provide transparency and visibility into bottlenecks and progress in making AI-ready data available for innovation, Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of "AI for Data" and Drive executive visibility of progress in making critical data sources available, including performance metrics and adoption tracking Support agile product routines to oversee cross-product data dependencies and prioritize delivery, Trace & Uplift Lineage - Identify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements, Embed evergreen controls on data flows to improve safety and meet regulatory requirements and Develop and deliver data lineage analysis and documentation that provides executive visibility on progress meeting critical SLAs (including blockers, resourcing, etc.). Uplift data flows for critical data to include controls, transparency, and traceability and Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Resolve Data Quality Issues - Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, Fix the cause of identified data quality issues and embed uplifted evergreen controls on data flows to prevent future failures and Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience Drive operational efficiency through elimination of cost of poor quality (COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural Language Query (NLQ) usage through enhanced data cataloguing and discoverability. Accelerate adoption of Mesh data architecture by enriching existing data assets with improved metadata, data quality scores, and lineage information Reduce consumer friction due to poor data catalogue quality and incomplete documentation and Develop and deliver data product prototypes that demonstrate the value of uplifted data assets Required Qualifications, Capabilities, and Skills 7+ years of experience in data science, analytics, data engineering, or data management within financial services Deep subject matter expertise in wealth and asset management, covering customer, account, position, transaction, and/or reference data domains Proven execution ability in a matrixed and complex environment with the ability to influence people at all levels of the organization Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls Preferred Qualifications, Capabilities, and Skills Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP) Experience with data visualization and reporting tools (e.g., Tableau, Power BI) to deliver executive dashboards and performance metrics Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment) Understanding of agile and product management methodologies and experience working in agile teams Strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery Technical Skills Programming & Analysis: Python, R, SQL, PySpark Cloud Platforms: AWS, Azure, GCP Data Tools: Data profiling tools, data quality platforms, metadata management systems Visualization: Tableau, Power BI, or similar BI tools Methodologies: Agile/Scrum, DevOps, Data Ops Version Control: Git, GitHub, Bitbucket ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Aug 27, 2026
Full time
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase Asset and Wealth Management (AWM) is responsible for accelerating AWM's data and analytics journey. The Strategic Data Provisioning (SDP) team plays a critical role in modelling behaviours to drive adoption, manage dependencies, align resources, foster innovation, and demonstrate value across the data lifecycle. We are seeking an execution-focused Strategic Data Provisioning Specialist / Lead to deliver on four primary service areas: provisioning new and differentiated data, tracing and uplifting lineage, resolving data quality issues, and uplifting existing data. This role requires a unique combination of deep technical expertise, strategic thinking, and collaborative leadership to make data available for AI/analytics, provide transparency into data flows, embed preventative controls, and enrich metadata to accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available for AI and analytics initiatives, working closely with use case owners to define requirements and manage product dependencies Provide transparency and visibility into bottlenecks and progress in making AI-ready data available for innovation, Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of "AI for Data" and Drive executive visibility of progress in making critical data sources available, including performance metrics and adoption tracking Support agile product routines to oversee cross-product data dependencies and prioritize delivery, Trace & Uplift Lineage - Identify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements, Embed evergreen controls on data flows to improve safety and meet regulatory requirements and Develop and deliver data lineage analysis and documentation that provides executive visibility on progress meeting critical SLAs (including blockers, resourcing, etc.). Uplift data flows for critical data to include controls, transparency, and traceability and Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Resolve Data Quality Issues - Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, Fix the cause of identified data quality issues and embed uplifted evergreen controls on data flows to prevent future failures and Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience Drive operational efficiency through elimination of cost of poor quality (COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural Language Query (NLQ) usage through enhanced data cataloguing and discoverability. Accelerate adoption of Mesh data architecture by enriching existing data assets with improved metadata, data quality scores, and lineage information Reduce consumer friction due to poor data catalogue quality and incomplete documentation and Develop and deliver data product prototypes that demonstrate the value of uplifted data assets Required Qualifications, Capabilities, and Skills 7+ years of experience in data science, analytics, data engineering, or data management within financial services Deep subject matter expertise in wealth and asset management, covering customer, account, position, transaction, and/or reference data domains Proven execution ability in a matrixed and complex environment with the ability to influence people at all levels of the organization Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls Preferred Qualifications, Capabilities, and Skills Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP) Experience with data visualization and reporting tools (e.g., Tableau, Power BI) to deliver executive dashboards and performance metrics Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment) Understanding of agile and product management methodologies and experience working in agile teams Strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery Technical Skills Programming & Analysis: Python, R, SQL, PySpark Cloud Platforms: AWS, Azure, GCP Data Tools: Data profiling tools, data quality platforms, metadata management systems Visualization: Tableau, Power BI, or similar BI tools Methodologies: Agile/Scrum, DevOps, Data Ops Version Control: Git, GitHub, Bitbucket ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by UK and US institutional investors and angel investors from Meta, Isomorphic Labs, Palantir, and SpaceX. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. Your Impact Most of what a customer experiences of HelmGuard, you'll have built. You turn ideas into shipped product faster than anyone expects, across the whole stack, and you decide what's worth building as much as you build it. We're betting that AI collapses the cost of writing software and you're the proof that the bottleneck was never the code, it was the judgment about what to make. The Role You are not expecting to be handed a finished spec and you own outcomes, not tickets. You understand our platform and what our customers want, and you decide what is actually worth building, design it, and ship it end-to-end: the interface someone loves to use, the API behind it, and the agent-powered feature underneath it. Some weeks, that's a polished onboarding flow; some weeks, it's the data model for a new analytical engine; some weeks, it's wiring an agent into a customer's workflow. You're at your best when the work refuses to sit in one lane. The bar isn't that the code is clean, but rather that you built the right thing, customers feel it, and it shipped while the problem was still worth solving. You make all three true, with Claude Code as a force multiplier that lets you move at a pace that once required a team. What You Will Do Ship customer-facing product end to end - frontend, backend, and the agent-powered features in between Own features from "is this even worth building?" through design, build, and the messy reality of customers using them Work close to customers and FDEs, and turn what you hear straight into shipped product Bring product and design taste - you care how it feels, not just whether it compiles Move fast with Claude Code and the rest of the AI tooling we run, without shipping anything you'd be embarrassed to take into a security review Leave the codebase better than you found it as you move through it What You Bring 6+ years shipping production software across the stack in a small, fast-moving team - TypeScript ideally, or an adjacent stack with the appetite to switch A track record you can point to: things you decided on, built, and watched customers actually use Genuine product instinct - you can tell the difference between impressive and useful, and you optimise for useful Front-to-back range: a React UI a customer enjoys, and the API and data model that make it real AI-native working style: Claude Code is already in your daily loop, and you have opinions about where it earns its keep and where it doesn't High agency - you see the gap, you close it, you don't wait to be told Nice to have Real design chops - you can make something look and feel right, not just function Experience folding LLM features into a product (agents, AI-fill, that class of work) B2B SaaS, GRC, security, or another domain where the user is a professional with zero patience for friction Early-stage or founding-team experience and Values We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window for building enterprise software in a generation. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Working at HelmGuard Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Three stages: behavioural phone screen, technical phone screen, and a paid on-site work trial. Target turnaround is under two weeks from first conversation. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout.
Aug 26, 2026
Full time
We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by UK and US institutional investors and angel investors from Meta, Isomorphic Labs, Palantir, and SpaceX. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. Your Impact Most of what a customer experiences of HelmGuard, you'll have built. You turn ideas into shipped product faster than anyone expects, across the whole stack, and you decide what's worth building as much as you build it. We're betting that AI collapses the cost of writing software and you're the proof that the bottleneck was never the code, it was the judgment about what to make. The Role You are not expecting to be handed a finished spec and you own outcomes, not tickets. You understand our platform and what our customers want, and you decide what is actually worth building, design it, and ship it end-to-end: the interface someone loves to use, the API behind it, and the agent-powered feature underneath it. Some weeks, that's a polished onboarding flow; some weeks, it's the data model for a new analytical engine; some weeks, it's wiring an agent into a customer's workflow. You're at your best when the work refuses to sit in one lane. The bar isn't that the code is clean, but rather that you built the right thing, customers feel it, and it shipped while the problem was still worth solving. You make all three true, with Claude Code as a force multiplier that lets you move at a pace that once required a team. What You Will Do Ship customer-facing product end to end - frontend, backend, and the agent-powered features in between Own features from "is this even worth building?" through design, build, and the messy reality of customers using them Work close to customers and FDEs, and turn what you hear straight into shipped product Bring product and design taste - you care how it feels, not just whether it compiles Move fast with Claude Code and the rest of the AI tooling we run, without shipping anything you'd be embarrassed to take into a security review Leave the codebase better than you found it as you move through it What You Bring 6+ years shipping production software across the stack in a small, fast-moving team - TypeScript ideally, or an adjacent stack with the appetite to switch A track record you can point to: things you decided on, built, and watched customers actually use Genuine product instinct - you can tell the difference between impressive and useful, and you optimise for useful Front-to-back range: a React UI a customer enjoys, and the API and data model that make it real AI-native working style: Claude Code is already in your daily loop, and you have opinions about where it earns its keep and where it doesn't High agency - you see the gap, you close it, you don't wait to be told Nice to have Real design chops - you can make something look and feel right, not just function Experience folding LLM features into a product (agents, AI-fill, that class of work) B2B SaaS, GRC, security, or another domain where the user is a professional with zero patience for friction Early-stage or founding-team experience and Values We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window for building enterprise software in a generation. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Working at HelmGuard Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Three stages: behavioural phone screen, technical phone screen, and a paid on-site work trial. Target turnaround is under two weeks from first conversation. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout.
Job description Waracle are looking for a Principal Developer to join our world-class digital technology consultancy and home to a diverse, smart, curious, and ambitious community of specialists in technology-driven transformation. We work with ambitious clients to help them solve their biggest business and customer challenges. We help our clients to innovate and create intelligent digital products and services. We thrive on complex challenges and deliver business-critical IT transformation projects, moving seamlessly from strategy, design, and delivery to operations. This is a Hybrid role working from our London office 2 days a week. Shape the Future of Digital Innovation As a Principal Developer, you will act as a strategic technical leader, guiding and shaping robust architectures, data strategies, and cloud-native environments across multiple squads and collaborative programmes. In this role, you will champion technical excellence, making thoughtful choices that balance cost, security, performance, and user experience to help Waracle scale and deliver high-performance, world-class products. If you are a collaborative leader who thrives on mentoring talent, fostering inclusive engineering communities, and navigating complex technical landscapes with empathy and pragmatism, we would love to welcome you to our team. Duties of This Role Reporting to the Head of Engineering, your role will cover: Solving Complex Technical Challenges: Partner closely with client technical and business stakeholders at all levels, gaining a deep understanding of their technology estates to advise on impactful, world-class digital solutions. Technical Excellence & Delivery: Shape architectures across multiple squads; select tools and frameworks to scale across clients while optimising for cost, security, performance, and scalability. Collaboration & Stakeholder Management: Act as a trusted advisor to clients on technical strategy and roadmaps, translating complex technical concepts into clear, accessible communication for senior stakeholders. Leadership & Community Cultivation: Mentor Lead and Senior Engineers, foster and grow our engineering community of practice, and ensure cross-team alignment on technical standards. Culture & Knowledge Sharing: Define and evolve Waracle's technical standards while contributing to our shared body of knowledge through lessons learned, thought leadership, and good practices. Research shows that underrepresented groups tend to only apply for roles that they believe they meet 100% of the criteria for. At Waracle, we want to buck that trend! We hire for passion, potential and mindset as much as credentials. If you think you'd be incredible in the role, then apply - even if you don't think you tick every box. What you'll bring Architectural Leadership: Proven experience designing, documenting, and scaling complex back-end architectures, distributed systems, microservices, and database designs (SQL and other technologies) within cloud-native environments-particularly Azure (with a focus on API management, maintenance, and scaling). Technical Direction & Delivery Ownership: Strong leadership capability to set clear technical direction, maintain a dedicated ownership mindset, and foster high-standard outcomes across complex enterprise projects. Consultative Communication: Excellent communication and influencing skills, with a demonstrated ability to navigate complex client organisations, support diverse stakeholders, and pragmatically balance commercial constraints with high technical standards. Team Mentorship & Growth: A proven track record of mentoring, developing, and aligning senior engineers and technical leaders to foster a collaborative culture of continuous learning and psychological safety. Modern SDLC Innovation: A pragmatic, forward-thinking approach with a strong interest and enthusiasm for applying AI across the Software Development Life Cycle to enhance engineering practices and advise clients on effective adoption. Recruitment process You can expect an initial call with your dedicated Talent Acquisition Partner, who will chat with you about Waracle, what you are looking for in a new position, the salary for the role, notice period, and benefits. After that, you'll be invited to a two-stage interview process where you will have an opportunity to find out more about the role and showcase your skills and experience. Your Talent Attraction Partner will guide and support you through the whole process right up to your first day with us Our Benefits We believe in supporting our team, inside and outside of work. Here's a glimpse of what you can expect: Rest & Recharge Financial Future & Security Health & Wellness Flexible Working Learning & Development Lifestyle Perks Family First Community & Connection Our values To make the world a better place through impactful software Raise the bar Bring others with you Make it count Work in the open Enjoy the journey
Aug 26, 2026
Full time
Job description Waracle are looking for a Principal Developer to join our world-class digital technology consultancy and home to a diverse, smart, curious, and ambitious community of specialists in technology-driven transformation. We work with ambitious clients to help them solve their biggest business and customer challenges. We help our clients to innovate and create intelligent digital products and services. We thrive on complex challenges and deliver business-critical IT transformation projects, moving seamlessly from strategy, design, and delivery to operations. This is a Hybrid role working from our London office 2 days a week. Shape the Future of Digital Innovation As a Principal Developer, you will act as a strategic technical leader, guiding and shaping robust architectures, data strategies, and cloud-native environments across multiple squads and collaborative programmes. In this role, you will champion technical excellence, making thoughtful choices that balance cost, security, performance, and user experience to help Waracle scale and deliver high-performance, world-class products. If you are a collaborative leader who thrives on mentoring talent, fostering inclusive engineering communities, and navigating complex technical landscapes with empathy and pragmatism, we would love to welcome you to our team. Duties of This Role Reporting to the Head of Engineering, your role will cover: Solving Complex Technical Challenges: Partner closely with client technical and business stakeholders at all levels, gaining a deep understanding of their technology estates to advise on impactful, world-class digital solutions. Technical Excellence & Delivery: Shape architectures across multiple squads; select tools and frameworks to scale across clients while optimising for cost, security, performance, and scalability. Collaboration & Stakeholder Management: Act as a trusted advisor to clients on technical strategy and roadmaps, translating complex technical concepts into clear, accessible communication for senior stakeholders. Leadership & Community Cultivation: Mentor Lead and Senior Engineers, foster and grow our engineering community of practice, and ensure cross-team alignment on technical standards. Culture & Knowledge Sharing: Define and evolve Waracle's technical standards while contributing to our shared body of knowledge through lessons learned, thought leadership, and good practices. Research shows that underrepresented groups tend to only apply for roles that they believe they meet 100% of the criteria for. At Waracle, we want to buck that trend! We hire for passion, potential and mindset as much as credentials. If you think you'd be incredible in the role, then apply - even if you don't think you tick every box. What you'll bring Architectural Leadership: Proven experience designing, documenting, and scaling complex back-end architectures, distributed systems, microservices, and database designs (SQL and other technologies) within cloud-native environments-particularly Azure (with a focus on API management, maintenance, and scaling). Technical Direction & Delivery Ownership: Strong leadership capability to set clear technical direction, maintain a dedicated ownership mindset, and foster high-standard outcomes across complex enterprise projects. Consultative Communication: Excellent communication and influencing skills, with a demonstrated ability to navigate complex client organisations, support diverse stakeholders, and pragmatically balance commercial constraints with high technical standards. Team Mentorship & Growth: A proven track record of mentoring, developing, and aligning senior engineers and technical leaders to foster a collaborative culture of continuous learning and psychological safety. Modern SDLC Innovation: A pragmatic, forward-thinking approach with a strong interest and enthusiasm for applying AI across the Software Development Life Cycle to enhance engineering practices and advise clients on effective adoption. Recruitment process You can expect an initial call with your dedicated Talent Acquisition Partner, who will chat with you about Waracle, what you are looking for in a new position, the salary for the role, notice period, and benefits. After that, you'll be invited to a two-stage interview process where you will have an opportunity to find out more about the role and showcase your skills and experience. Your Talent Attraction Partner will guide and support you through the whole process right up to your first day with us Our Benefits We believe in supporting our team, inside and outside of work. Here's a glimpse of what you can expect: Rest & Recharge Financial Future & Security Health & Wellness Flexible Working Learning & Development Lifestyle Perks Family First Community & Connection Our values To make the world a better place through impactful software Raise the bar Bring others with you Make it count Work in the open Enjoy the journey
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Aug 25, 2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
About the Role: Grade Level (for internal use): 11 The Team: Product Platform Design (PPD) is responsible for the design, build, and evolution of SPDJI's core product platforms that support index creation, calculation, rebalance, analytics, and distribution. PPD operates using a product-led, service-based delivery model and is organised into value streams aligned to major business domains. The team works closely with Index Management, R&D, Operations, and Technology to deliver scalable, reusable platforms that support the full index lifecycle across asset classes. This role sits within the Equity value stream and will focus on the data functionality embedded within T3, SPDJI's core equity index calculation platform. T3 supports key parts of the index lifecycle, including corporate actions, data capture, validation, transformation, and rebalance implementation. The team is evolving its platforms to improve automation, simplify legacy processes, and align with the broader Data Platforms strategy where appropriate. This creates an opportunity for a Product Owner / Business Analyst who can connect business needs, data dependencies, operational workflows, and technology delivery in a practical and structured way. The Impact: We are recruiting a Technical Product Owner - Equity Calculation on a 12 month fixed term contract to help shape and deliver enhancements across equity index calculation and related data capabilities. This is a hybrid Product Owner / Business Analyst role, working closely with the Value Stream Lead and agile delivery teams to define priorities, translate requirements, and support delivery of platform improvements. The successful candidate will play a significant role in improving efficiency within the equity index calculation domain by using product ownership, business analysis, and analytical judgement to simplify complex workflows, improve data quality, and support more scalable platform delivery. This role requires someone who can work with incomplete or evolving information, identify practical options, and communicate complex topics clearly to both technical and non-technical stakeholders. The individual will also be expected to build strong relationships across PPD, Index Management, R&D, Operations, Technology, and Data Platform teams, influencing peers and immediate leadership to achieve defined goals. Responsibilities: Partner with the Value Stream Lead on roadmap input, prioritisation, and delivery planning. Gather, analyse, and translate business requirements into epics, features, user stories, and clear acceptance criteria. Own and manage the agile team backlog in Azure DevOps (ADO), ensuring work is clearly defined, prioritised, and ready for delivery. Work closely with Index Management, R&D, Operations, Technology, and Data Platform teams to understand requirements, dependencies, and delivery impacts. Act as a translator between business and technology teams, tailoring communication for different audiences and simplifying complex information. Support agile ceremonies, including refinement, planning, reviews, and retrospectives. Perform hands on user acceptance testing (UAT) to confirm delivered functionality meets business requirements. Assess embedded and legacy data processes within T3 and identify opportunities to improve automation, reduce manual effort, and simplify operational workflows. Use analytical judgement to evaluate different solution options, make recommendations, and influence stakeholder buy in based on business value, risk, and delivery impact. Identify cross platform dependencies and collaborate with other Product Owners across PPD to support alignment and avoid fragmented ownership. Support longer term platform evolution while balancing short term operational stability and business continuity. Contribute professional expertise to help improve team knowledge, support junior colleagues where appropriate, and model S&P Global's purpose and values in day to day work. All employees are required to work from the office a minimum of 2 days per week. What We're Looking For: Experience as a Product Owner, Business Analyst, or hybrid PO/BA in an agile environment. Strong understanding of index products, index calculation workflows, and operational processes. Experience working with data heavy platforms, workflows, or systems where data ingestion, validation, transformation, and quality are important to business outcomes. Comfortable engaging in technical discussions and translating complex requirements into clear, actionable delivery items. Experience managing backlogs using ADO or equivalent tools. Strong analytical skills, with the ability to assess requirements, identify dependencies, and recommend practical solutions. Strong stakeholder management skills, with the ability to build relationships across teams and influence peers and immediate leadership. Ability to work effectively with incomplete, changing, or conflicting information and identify options in non routine situations. Strong written and verbal communication skills, with the ability to integrate and communicate complex information within a specialist business or technology area. Ability to deliver high quality work, manage priorities effectively, and leverage wider team input to support successful delivery. We require all candidates who reach the final stage of our interview process to attend at least one in person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications: Experience working in financial services, indexing, market data, reference data, corporate actions, or related investment data domains. Familiarity with equity index calculation platforms, rebalance processes, or data dependencies that support index production. Experience identifying process improvements, automation opportunities, or platform simplification initiatives. Ability to connect day to day product delivery with broader platform strategy and operational efficiency goals. Comfortable collaborating across product, technology, operations, and data teams in a multi team delivery model. Curiosity and a continuous improvement mindset, with the ability to proactively seek out new information, relevant data, and opportunities for innovation. About S&P Global Dow Jones Indicator At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution . click apply for full job details
Aug 25, 2026
Full time
About the Role: Grade Level (for internal use): 11 The Team: Product Platform Design (PPD) is responsible for the design, build, and evolution of SPDJI's core product platforms that support index creation, calculation, rebalance, analytics, and distribution. PPD operates using a product-led, service-based delivery model and is organised into value streams aligned to major business domains. The team works closely with Index Management, R&D, Operations, and Technology to deliver scalable, reusable platforms that support the full index lifecycle across asset classes. This role sits within the Equity value stream and will focus on the data functionality embedded within T3, SPDJI's core equity index calculation platform. T3 supports key parts of the index lifecycle, including corporate actions, data capture, validation, transformation, and rebalance implementation. The team is evolving its platforms to improve automation, simplify legacy processes, and align with the broader Data Platforms strategy where appropriate. This creates an opportunity for a Product Owner / Business Analyst who can connect business needs, data dependencies, operational workflows, and technology delivery in a practical and structured way. The Impact: We are recruiting a Technical Product Owner - Equity Calculation on a 12 month fixed term contract to help shape and deliver enhancements across equity index calculation and related data capabilities. This is a hybrid Product Owner / Business Analyst role, working closely with the Value Stream Lead and agile delivery teams to define priorities, translate requirements, and support delivery of platform improvements. The successful candidate will play a significant role in improving efficiency within the equity index calculation domain by using product ownership, business analysis, and analytical judgement to simplify complex workflows, improve data quality, and support more scalable platform delivery. This role requires someone who can work with incomplete or evolving information, identify practical options, and communicate complex topics clearly to both technical and non-technical stakeholders. The individual will also be expected to build strong relationships across PPD, Index Management, R&D, Operations, Technology, and Data Platform teams, influencing peers and immediate leadership to achieve defined goals. Responsibilities: Partner with the Value Stream Lead on roadmap input, prioritisation, and delivery planning. Gather, analyse, and translate business requirements into epics, features, user stories, and clear acceptance criteria. Own and manage the agile team backlog in Azure DevOps (ADO), ensuring work is clearly defined, prioritised, and ready for delivery. Work closely with Index Management, R&D, Operations, Technology, and Data Platform teams to understand requirements, dependencies, and delivery impacts. Act as a translator between business and technology teams, tailoring communication for different audiences and simplifying complex information. Support agile ceremonies, including refinement, planning, reviews, and retrospectives. Perform hands on user acceptance testing (UAT) to confirm delivered functionality meets business requirements. Assess embedded and legacy data processes within T3 and identify opportunities to improve automation, reduce manual effort, and simplify operational workflows. Use analytical judgement to evaluate different solution options, make recommendations, and influence stakeholder buy in based on business value, risk, and delivery impact. Identify cross platform dependencies and collaborate with other Product Owners across PPD to support alignment and avoid fragmented ownership. Support longer term platform evolution while balancing short term operational stability and business continuity. Contribute professional expertise to help improve team knowledge, support junior colleagues where appropriate, and model S&P Global's purpose and values in day to day work. All employees are required to work from the office a minimum of 2 days per week. What We're Looking For: Experience as a Product Owner, Business Analyst, or hybrid PO/BA in an agile environment. Strong understanding of index products, index calculation workflows, and operational processes. Experience working with data heavy platforms, workflows, or systems where data ingestion, validation, transformation, and quality are important to business outcomes. Comfortable engaging in technical discussions and translating complex requirements into clear, actionable delivery items. Experience managing backlogs using ADO or equivalent tools. Strong analytical skills, with the ability to assess requirements, identify dependencies, and recommend practical solutions. Strong stakeholder management skills, with the ability to build relationships across teams and influence peers and immediate leadership. Ability to work effectively with incomplete, changing, or conflicting information and identify options in non routine situations. Strong written and verbal communication skills, with the ability to integrate and communicate complex information within a specialist business or technology area. Ability to deliver high quality work, manage priorities effectively, and leverage wider team input to support successful delivery. We require all candidates who reach the final stage of our interview process to attend at least one in person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications: Experience working in financial services, indexing, market data, reference data, corporate actions, or related investment data domains. Familiarity with equity index calculation platforms, rebalance processes, or data dependencies that support index production. Experience identifying process improvements, automation opportunities, or platform simplification initiatives. Ability to connect day to day product delivery with broader platform strategy and operational efficiency goals. Comfortable collaborating across product, technology, operations, and data teams in a multi team delivery model. Curiosity and a continuous improvement mindset, with the ability to proactively seek out new information, relevant data, and opportunities for innovation. About S&P Global Dow Jones Indicator At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution . click apply for full job details
Customer Engagement Manager, UK, Germany and International Organisations Public Sector Job ID: AWS EMEA SARL (UK Branch) The UK, Germany, and International Public Sector (UKGI PS) organisation is hiring a Customer Engagement Manager to lead specific customer engagement initiatives and strategies. This role sits within the Front Office team and will drive the design, execution, and measurement of engagement programmes that accelerate customer outcomes and deepen AWS relationships with priority public sector accounts. UKGI PS serves some of the most complex and consequential organisations across world-wide public sector. The Customer Engagement Manager will shape how AWS engages with public sector at the highest levels. The engagements this person designs and delivers will directly influence executive relationships and pipeline outcomes. The Customer Engagement Manager owns initiatives end-to-end. This role is responsible for identifying which customers to engage, designing the engagement approach, building repeatable mechanisms, and tracking outcomes that move accounts forward. The successful candidate will combine strategic thinking with hands-on delivery, working cross functionally with Account Managers, Solutions Architects, Partners, and executive stakeholders to create engagement experiences that earn customer trust and generate measurable pipeline impact. This is not a support function. It is a leadership role within the Front Office that requires independent judgement, senior stakeholder management, and the ability to operate across multiple concurrent initiatives with minimal direction. As the engagement function matures, so does the scope and influence of this role. Key job responsibilities Customer Engagement Strategy - Develop and own engagement initiatives for priority UKGI PS accounts, aligned to revenue and adoption goals. Identify and prioritise customers and partners for engagement programmes in collaboration with Account Managers and cross functional stakeholders. Design engagement journeys mapping the right format (EBC, executive visit, workshop, roundtable) to each stage of the customer lifecycle, and build playbooks that codify success for the wider sales organisation. Engagement Delivery - Manage end-to-end delivery of customer engagements: scoping, stakeholder alignment, content development, logistics, execution, and follow-through. Lead cross functional working groups spanning Solutions Architecture, Professional Services, Partners, Marketing, and Legal. Own the briefing document process, coordinate executive participation, and drive post engagement actions to closure. Mechanisms & Measurement - Build mechanisms to track engagement outcomes - pipeline influenced, opportunities created, deal acceleration, and customer feedback. Maintain an engagement calendar and dashboard providing leadership with a live view of activity and results, and report on engagement ROI. Front Office & Wider Team Support - Contribute to the UKGI PS Front Office operating cadence, translating strategic priorities into field executable engagement actions, feeding signals back into strategy, and supporting business reviews, planning cycles, and leadership communications. About the team The UK, Germany and International Organisations (UKGI) Public Sector team at AWS sits within the Worldwide Public Sector (WWPS) organisation. The team is responsible for driving strategic engagement with government departments, public sector bodies, and international organisations across the UK, Germany, and beyond. UKGI PS works to accelerate cloud adoption, support digital transformation, and deliver innovative solutions that address national and international priorities - from AI and data strategy to critical infrastructure modernisation. The team combines business development, strategy, and operational expertise to help public sector customers unlock the full potential of AWS services at scale. Basic Qualifications - Bachelor's degree - Experience creating, improving and executing engagement programs and action plans - Experience in stakeholder management, including influencing executive level global leaders - Experience working with cross functional teams across business development, marketing, operations, product development, legal, etc. - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience in ownership of projects and communicating timelines and executing independently - 8+ years of experience in customer engagement, business development, sales strategy, or programme management within technology, cloud, or professional services Preferred Qualifications - Experience in the public sector - Experience producing executive-level written materials and presenting to executive audiences - Experience with AWS, Azure, or Google Cloud technology - Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency - Experience working in a matrixed environment, influencing strategy, and achieving goals by working across the organization - Experience with government procurement and contracting process Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult your Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 25, 2026
Full time
Customer Engagement Manager, UK, Germany and International Organisations Public Sector Job ID: AWS EMEA SARL (UK Branch) The UK, Germany, and International Public Sector (UKGI PS) organisation is hiring a Customer Engagement Manager to lead specific customer engagement initiatives and strategies. This role sits within the Front Office team and will drive the design, execution, and measurement of engagement programmes that accelerate customer outcomes and deepen AWS relationships with priority public sector accounts. UKGI PS serves some of the most complex and consequential organisations across world-wide public sector. The Customer Engagement Manager will shape how AWS engages with public sector at the highest levels. The engagements this person designs and delivers will directly influence executive relationships and pipeline outcomes. The Customer Engagement Manager owns initiatives end-to-end. This role is responsible for identifying which customers to engage, designing the engagement approach, building repeatable mechanisms, and tracking outcomes that move accounts forward. The successful candidate will combine strategic thinking with hands-on delivery, working cross functionally with Account Managers, Solutions Architects, Partners, and executive stakeholders to create engagement experiences that earn customer trust and generate measurable pipeline impact. This is not a support function. It is a leadership role within the Front Office that requires independent judgement, senior stakeholder management, and the ability to operate across multiple concurrent initiatives with minimal direction. As the engagement function matures, so does the scope and influence of this role. Key job responsibilities Customer Engagement Strategy - Develop and own engagement initiatives for priority UKGI PS accounts, aligned to revenue and adoption goals. Identify and prioritise customers and partners for engagement programmes in collaboration with Account Managers and cross functional stakeholders. Design engagement journeys mapping the right format (EBC, executive visit, workshop, roundtable) to each stage of the customer lifecycle, and build playbooks that codify success for the wider sales organisation. Engagement Delivery - Manage end-to-end delivery of customer engagements: scoping, stakeholder alignment, content development, logistics, execution, and follow-through. Lead cross functional working groups spanning Solutions Architecture, Professional Services, Partners, Marketing, and Legal. Own the briefing document process, coordinate executive participation, and drive post engagement actions to closure. Mechanisms & Measurement - Build mechanisms to track engagement outcomes - pipeline influenced, opportunities created, deal acceleration, and customer feedback. Maintain an engagement calendar and dashboard providing leadership with a live view of activity and results, and report on engagement ROI. Front Office & Wider Team Support - Contribute to the UKGI PS Front Office operating cadence, translating strategic priorities into field executable engagement actions, feeding signals back into strategy, and supporting business reviews, planning cycles, and leadership communications. About the team The UK, Germany and International Organisations (UKGI) Public Sector team at AWS sits within the Worldwide Public Sector (WWPS) organisation. The team is responsible for driving strategic engagement with government departments, public sector bodies, and international organisations across the UK, Germany, and beyond. UKGI PS works to accelerate cloud adoption, support digital transformation, and deliver innovative solutions that address national and international priorities - from AI and data strategy to critical infrastructure modernisation. The team combines business development, strategy, and operational expertise to help public sector customers unlock the full potential of AWS services at scale. Basic Qualifications - Bachelor's degree - Experience creating, improving and executing engagement programs and action plans - Experience in stakeholder management, including influencing executive level global leaders - Experience working with cross functional teams across business development, marketing, operations, product development, legal, etc. - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience in ownership of projects and communicating timelines and executing independently - 8+ years of experience in customer engagement, business development, sales strategy, or programme management within technology, cloud, or professional services Preferred Qualifications - Experience in the public sector - Experience producing executive-level written materials and presenting to executive audiences - Experience with AWS, Azure, or Google Cloud technology - Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency - Experience working in a matrixed environment, influencing strategy, and achieving goals by working across the organization - Experience with government procurement and contracting process Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult your Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Role Overview: Role: Technical Product Owner Salary: £70,000-£90,000 p/a (+ discretionary 7.5% annual bonus) Location: Hybrid - London 2 days per week The Opportunity: Our client, an innovative medical technology business operating within the global life sciences sector, is looking for an experienced Technical Product Owner to join its growing technology team. The successful candidate will sit at the intersection of Product, Business and Engineering, taking ownership of prioritisation while working closely with Developers, Testers and senior stakeholders to turn complex business requirements into clear, deliverable solutions. This isn't a traditional Product Owner role focused purely on backlog management. You'll need to be technically fluent, comfortable discussing APIs, data models and system behavior with Developers, and confident making value-based decisions around features, technical improvements and defects. You'll also have the opportunity to shape how the Product function develops as the team grows, with an expectation to eventually take responsibility for mentoring and line managing a Business Analyst. Key Responsibilities: Product Ownership & Prioritisation Own and manage the product backlog, ensuring it remains well-groomed, estimated and ready for sprint planning Prioritise features, technical improvements and defects based on business value Work closely with senior stakeholders to understand priorities and make clear value-based trade-off decisions Review and accept completed work against agreed acceptance criteria and the Definition of Done Requirements & Technical Analysis Elicit, analyse and challenge business requirements, translating them into clear user stories and acceptance criteria Work closely with Developers and Testers throughout delivery Contribute to technical discussions around APIs, data models, integrations and system behaviour Use SQL to interrogate data, validate assumptions and support impact analysis Produce UML diagrams, process flows and data mapping artefacts to communicate solution design Agile Delivery Facilitate backlog refinement, sprint planning, reviews and retrospectives Support effective collaboration between Product, Engineering and wider business stakeholders Advocate for transparency, continuous improvement and knowledge sharing Ensure requirements are clear and actionable throughout the delivery lifecycle Team Development Mentor and support Business Analysts as the team grows Provide regular coaching and quality oversight of analysis outputs Take on line management responsibilities as the function develops What We're Looking For: Essential Experience Proven experience as a Product Owner or Senior/Technical Business Analyst with ownership of a product backlog Strong experience prioritising work and making value-based trade-off decisions Excellent understanding of Agile methodologies, including Scrum and/or Kanban Strong experience writing user stories and acceptance criteria Technically fluent, with the confidence to engage Developers in technical design and trade-off discussions Hands-on SQL experience and a strong understanding of relational data models Good knowledge of REST APIs, system integrations and client-facing web applications Experience creating UML diagrams, process flows and data mapping Experience using backlog management tools such as Azure DevOps, Jira and/or Confluence Strong stakeholder management and communication skills Experience mentoring or developing Business Analysts or other team members Desirable Experience writing Gherkin-style acceptance criteria and working with BDD Experience creating BPMN process diagrams Experience within medical, biotechnology, pharmaceutical or another regulated environment Product Owner certification such as CSPO or PSPO Experience using AI-assisted tools such as Claude Code to support analysis and delivery If you're a technically minded Product Owner who enjoys working closely with Engineering, making meaningful prioritisation decisions and taking ownership of products that have a genuine impact, we'd love to hear from you. Important Notice: We are expecting a high volume of applications for this role and while we do our best to respond to as many applicants as we can, it isn't always possible to get back to everyone. With this in mind, if you've not heard from a member of our team within 2 weeks of submitting your CV, please assume that your application has not been successful on this occasion. Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Leo Technology website.
Aug 24, 2026
Full time
Role Overview: Role: Technical Product Owner Salary: £70,000-£90,000 p/a (+ discretionary 7.5% annual bonus) Location: Hybrid - London 2 days per week The Opportunity: Our client, an innovative medical technology business operating within the global life sciences sector, is looking for an experienced Technical Product Owner to join its growing technology team. The successful candidate will sit at the intersection of Product, Business and Engineering, taking ownership of prioritisation while working closely with Developers, Testers and senior stakeholders to turn complex business requirements into clear, deliverable solutions. This isn't a traditional Product Owner role focused purely on backlog management. You'll need to be technically fluent, comfortable discussing APIs, data models and system behavior with Developers, and confident making value-based decisions around features, technical improvements and defects. You'll also have the opportunity to shape how the Product function develops as the team grows, with an expectation to eventually take responsibility for mentoring and line managing a Business Analyst. Key Responsibilities: Product Ownership & Prioritisation Own and manage the product backlog, ensuring it remains well-groomed, estimated and ready for sprint planning Prioritise features, technical improvements and defects based on business value Work closely with senior stakeholders to understand priorities and make clear value-based trade-off decisions Review and accept completed work against agreed acceptance criteria and the Definition of Done Requirements & Technical Analysis Elicit, analyse and challenge business requirements, translating them into clear user stories and acceptance criteria Work closely with Developers and Testers throughout delivery Contribute to technical discussions around APIs, data models, integrations and system behaviour Use SQL to interrogate data, validate assumptions and support impact analysis Produce UML diagrams, process flows and data mapping artefacts to communicate solution design Agile Delivery Facilitate backlog refinement, sprint planning, reviews and retrospectives Support effective collaboration between Product, Engineering and wider business stakeholders Advocate for transparency, continuous improvement and knowledge sharing Ensure requirements are clear and actionable throughout the delivery lifecycle Team Development Mentor and support Business Analysts as the team grows Provide regular coaching and quality oversight of analysis outputs Take on line management responsibilities as the function develops What We're Looking For: Essential Experience Proven experience as a Product Owner or Senior/Technical Business Analyst with ownership of a product backlog Strong experience prioritising work and making value-based trade-off decisions Excellent understanding of Agile methodologies, including Scrum and/or Kanban Strong experience writing user stories and acceptance criteria Technically fluent, with the confidence to engage Developers in technical design and trade-off discussions Hands-on SQL experience and a strong understanding of relational data models Good knowledge of REST APIs, system integrations and client-facing web applications Experience creating UML diagrams, process flows and data mapping Experience using backlog management tools such as Azure DevOps, Jira and/or Confluence Strong stakeholder management and communication skills Experience mentoring or developing Business Analysts or other team members Desirable Experience writing Gherkin-style acceptance criteria and working with BDD Experience creating BPMN process diagrams Experience within medical, biotechnology, pharmaceutical or another regulated environment Product Owner certification such as CSPO or PSPO Experience using AI-assisted tools such as Claude Code to support analysis and delivery If you're a technically minded Product Owner who enjoys working closely with Engineering, making meaningful prioritisation decisions and taking ownership of products that have a genuine impact, we'd love to hear from you. Important Notice: We are expecting a high volume of applications for this role and while we do our best to respond to as many applicants as we can, it isn't always possible to get back to everyone. With this in mind, if you've not heard from a member of our team within 2 weeks of submitting your CV, please assume that your application has not been successful on this occasion. Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Leo Technology website.
Ready to Own More Than the Ticket Queue? You've built solid 3rd Line infrastructure experience. You know how to get to the bottom of complex technical problems, understand the importance of security and you're ready for more ownership. This could be that step. Join Bulk , one of Europe's leading active nutrition brands, and take ownership across the infrastructure and cyber security environment supporting our fast-moving digital business. You'll work across cloud, networks, endpoints and security, strengthen our email security, help lead our upcoming Cyber Essentials project and tackle the security challenges that come with our rapidly evolving use of AI. We're ahead of the curve when it comes to building with AI, so you'll get extensive exposure to new tools, integrations and systems - with the freedom to get involved in other technical projects as the business evolves. If you're a strong 3rd Line Engineer with cyber security credentials who's ready to broaden your remit and take genuine ownership, we'd love to hear from you. The Role at a Glance IT Infrastructure & Cyber Security Engineer Colchester, Essex Hybrid - 3 Days Office / 2 Days Home Occasional out-of-hours working and travel to London will be required. Competitive Salary + Excellent Benefits Full Time Permanent Focus: Infrastructure Cyber Security Cloud AI Enablement Your Background / Skills: 3rd Line Engineering, IT Infrastructure, Cyber Security, Azure, Google Workspace, Networking, CrowdStrike, Cisco, VMware vSphere, Windows Server, Jamf, Intune, Incident Response, Cyber Essentials, AI Tooling Who We Are Bulk is on an incredible journey, with a mission to evolve from a manufacturing-led retailer into a destination brand for active nutrition. We're shaking up the sports nutrition industry through innovative products, disruptive marketing and bold digital thinking that encourages people to see our brand differently. We want passionate risk-takers. People who challenge our thinking, live and breathe digital and aren't afraid to find a better way of doing things. And as our technology continues to evolve - particularly through AI - we need the infrastructure and security behind it to evolve just as quickly. The Opportunity As our IT Infrastructure & Cyber Security Engineer, you'll take ownership of Bulk's infrastructure and cyber security environment, supported by our IT Service Desk Team Lead and wider team. This is a broad, hands-on technical role with some clear priorities. You'll help upgrade our email security, manage the security aspects of AI integration and take a leading role in our Cyber Essentials project next year. You'll also oversee infrastructure, security tooling, incident response, budgeting and contracting, while becoming a Tier 3 escalation point for complex issues that need deeper technical expertise. And we're not expecting you to walk through the door knowing every technology on our list. We're looking for someone with strong infrastructure foundations and genuine cyber security capability who can demonstrate experience across roughly 80% of our technical environment, with the curiosity and ability to pick up the rest. What You'll Be Doing Infrastructure • Manage and maintain Bulk s on-premise and cloud infrastructure, including Azure, Google Workspace, networks, firewalls and VPNs. • Ensure systems are secure, reliable, resilient and up to date. • Lead infrastructure projects from planning through to deployment, including budgets and contracts. • Provide Tier 3 support for complex issues and maintain clear technical documentation and handovers. • Support wider technical projects as business requirements evolve. Cyber Security • Develop and improve Bulk s security environment, with particular focus on email security. • Monitor, investigate and respond to security threats, incidents and data breaches. • Manage and optimise security technologies including SIEM, SOAR, EDR/MDR/XDR, CASB, ZTNA and SASE. • Lead Cyber Essentials activity and support wider compliance, including ISO 27001. • Assess vendor security and work with stakeholders to implement secure technology solutions. AI Tooling & Security • Support the secure adoption and scaling of AI tools across Bulk. • Manage AI platforms including Claude Code, GitHub Copilot, Codex-style tools, MCP servers, integrations and connectors. • Own user access, permissions and governance, applying least-privilege principles. • Support teams onboarding new AI technologies, balancing innovation and productivity with security and compliance. • Develop appropriate controls as agentic AI, MCP and connector-based technologies evolve. About You You're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure and cyber security. You enjoy getting hands-on with technology, but you're also interested in the bigger picture - resilience, security, risk, projects and how technology can enable the business to move faster. You don't need to tick every technology box. Breadth, strong foundations and the ability to learn matter here. You'll likely bring: • Around 2-3 years' experience in a similar role, operating at 3rd Line Engineer level or equivalent. • At least one cyber security certification. • Hands-on experience across approximately 80% of the technologies and environments outlined within this advert. • Strong infrastructure experience spanning cloud and on-premise environments. • Good working knowledge of Azure, Google Workspace, networking, endpoint management and security. • Experience across technologies such as CrowdStrike, Cisco, VMware vSphere, Windows Server, Mac/Windows, Jamf, Intune, Automox and VPNs. • Strong security monitoring, incident response and threat-analysis knowledge, including IOC investigation and remediation. • Experience or knowledge of security frameworks and compliance, ideally including Cyber Essentials and ISO 27001. • The confidence and technical capability to handle complex Tier 3 escalations. • Strong problem-solving skills and a proactive approach to improving infrastructure and security. • Excellent communication skills and the confidence to work with colleagues, suppliers and senior leadership. • Willingness to undertake occasional out-of-hours work and travel to London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB/SSE experience covering areas such as SSL/TLS inspection, DLP, Zero Trust architecture, CASB policy design and SCIM-based provisioning. • ITIL or project management certification such as PRINCE2. • Additional cyber security certifications such as CISSP, CISM or CompTIA. Why Join Bulk ? This is a great opportunity if you're ready to move beyond traditional 3rd Line support and build broader experience across infrastructure, cyber security and AI. You'll have genuine ownership, support from the wider IT team and exposure to a broad technology landscape within a business that's actively embracing new ways of working. Because Bulk is already pushing ahead with AI, you'll also be solving security and infrastructure challenges that many businesses haven't encountered yet. You'll also enjoy: • Monthly Bulk Bank Benefits Allowance, including subsidised gym membership. • 60% discount on Bulk products. • Birthday day off. • PerkBox subscription. • Flexi Start. • Optional additional annual leave. • Teammate pension scheme. • Life Assurance. • Medicash. • Volunteering day. • Cycle to Work Scheme. • Enhanced maternity and paternity leave. • Workplace nursery scheme. • Fully stocked Bulk Pantry. • Happy Hour drinks fridge on Thursdays and Fridays. • Summer working hours. • Hybrid working - 3 days in the Colchester office / 2 days from home. Your Experience / Background / Previous Roles May Include 3rd Line Engineer, Senior 3rd Line Engineer, Infrastructure Engineer, IT Infrastructure Engineer, Infrastructure & Security Engineer, IT Security Engineer, Systems & Security Engineer, Senior IT Engineer, Cloud Infrastructure Engineer, Cyber Security Engineer or Infrastructure Support Engineer. Apply Now If you've built strong 3rd Line foundations and you're ready for a role where you can take genuine ownership across infrastructure, cyber security and emerging AI technology, we'd love to hear from you. Bring your technical breadth, security mindset and curiosity about what's coming next - and help build the resilient, secure technology foundation behind Bulk's continued growth. Bulk is an equal opportunities employer and is committed to building a diverse and inclusive team. We welcome applications regardless of age, disability, race, gender, religion, sexual orientation, education, neurodiversity or any other protected characteristic. Application notice We take your privacy seriously . click apply for full job details
Aug 24, 2026
Full time
Ready to Own More Than the Ticket Queue? You've built solid 3rd Line infrastructure experience. You know how to get to the bottom of complex technical problems, understand the importance of security and you're ready for more ownership. This could be that step. Join Bulk , one of Europe's leading active nutrition brands, and take ownership across the infrastructure and cyber security environment supporting our fast-moving digital business. You'll work across cloud, networks, endpoints and security, strengthen our email security, help lead our upcoming Cyber Essentials project and tackle the security challenges that come with our rapidly evolving use of AI. We're ahead of the curve when it comes to building with AI, so you'll get extensive exposure to new tools, integrations and systems - with the freedom to get involved in other technical projects as the business evolves. If you're a strong 3rd Line Engineer with cyber security credentials who's ready to broaden your remit and take genuine ownership, we'd love to hear from you. The Role at a Glance IT Infrastructure & Cyber Security Engineer Colchester, Essex Hybrid - 3 Days Office / 2 Days Home Occasional out-of-hours working and travel to London will be required. Competitive Salary + Excellent Benefits Full Time Permanent Focus: Infrastructure Cyber Security Cloud AI Enablement Your Background / Skills: 3rd Line Engineering, IT Infrastructure, Cyber Security, Azure, Google Workspace, Networking, CrowdStrike, Cisco, VMware vSphere, Windows Server, Jamf, Intune, Incident Response, Cyber Essentials, AI Tooling Who We Are Bulk is on an incredible journey, with a mission to evolve from a manufacturing-led retailer into a destination brand for active nutrition. We're shaking up the sports nutrition industry through innovative products, disruptive marketing and bold digital thinking that encourages people to see our brand differently. We want passionate risk-takers. People who challenge our thinking, live and breathe digital and aren't afraid to find a better way of doing things. And as our technology continues to evolve - particularly through AI - we need the infrastructure and security behind it to evolve just as quickly. The Opportunity As our IT Infrastructure & Cyber Security Engineer, you'll take ownership of Bulk's infrastructure and cyber security environment, supported by our IT Service Desk Team Lead and wider team. This is a broad, hands-on technical role with some clear priorities. You'll help upgrade our email security, manage the security aspects of AI integration and take a leading role in our Cyber Essentials project next year. You'll also oversee infrastructure, security tooling, incident response, budgeting and contracting, while becoming a Tier 3 escalation point for complex issues that need deeper technical expertise. And we're not expecting you to walk through the door knowing every technology on our list. We're looking for someone with strong infrastructure foundations and genuine cyber security capability who can demonstrate experience across roughly 80% of our technical environment, with the curiosity and ability to pick up the rest. What You'll Be Doing Infrastructure • Manage and maintain Bulk s on-premise and cloud infrastructure, including Azure, Google Workspace, networks, firewalls and VPNs. • Ensure systems are secure, reliable, resilient and up to date. • Lead infrastructure projects from planning through to deployment, including budgets and contracts. • Provide Tier 3 support for complex issues and maintain clear technical documentation and handovers. • Support wider technical projects as business requirements evolve. Cyber Security • Develop and improve Bulk s security environment, with particular focus on email security. • Monitor, investigate and respond to security threats, incidents and data breaches. • Manage and optimise security technologies including SIEM, SOAR, EDR/MDR/XDR, CASB, ZTNA and SASE. • Lead Cyber Essentials activity and support wider compliance, including ISO 27001. • Assess vendor security and work with stakeholders to implement secure technology solutions. AI Tooling & Security • Support the secure adoption and scaling of AI tools across Bulk. • Manage AI platforms including Claude Code, GitHub Copilot, Codex-style tools, MCP servers, integrations and connectors. • Own user access, permissions and governance, applying least-privilege principles. • Support teams onboarding new AI technologies, balancing innovation and productivity with security and compliance. • Develop appropriate controls as agentic AI, MCP and connector-based technologies evolve. About You You're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure and cyber security. You enjoy getting hands-on with technology, but you're also interested in the bigger picture - resilience, security, risk, projects and how technology can enable the business to move faster. You don't need to tick every technology box. Breadth, strong foundations and the ability to learn matter here. You'll likely bring: • Around 2-3 years' experience in a similar role, operating at 3rd Line Engineer level or equivalent. • At least one cyber security certification. • Hands-on experience across approximately 80% of the technologies and environments outlined within this advert. • Strong infrastructure experience spanning cloud and on-premise environments. • Good working knowledge of Azure, Google Workspace, networking, endpoint management and security. • Experience across technologies such as CrowdStrike, Cisco, VMware vSphere, Windows Server, Mac/Windows, Jamf, Intune, Automox and VPNs. • Strong security monitoring, incident response and threat-analysis knowledge, including IOC investigation and remediation. • Experience or knowledge of security frameworks and compliance, ideally including Cyber Essentials and ISO 27001. • The confidence and technical capability to handle complex Tier 3 escalations. • Strong problem-solving skills and a proactive approach to improving infrastructure and security. • Excellent communication skills and the confidence to work with colleagues, suppliers and senior leadership. • Willingness to undertake occasional out-of-hours work and travel to London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB/SSE experience covering areas such as SSL/TLS inspection, DLP, Zero Trust architecture, CASB policy design and SCIM-based provisioning. • ITIL or project management certification such as PRINCE2. • Additional cyber security certifications such as CISSP, CISM or CompTIA. Why Join Bulk ? This is a great opportunity if you're ready to move beyond traditional 3rd Line support and build broader experience across infrastructure, cyber security and AI. You'll have genuine ownership, support from the wider IT team and exposure to a broad technology landscape within a business that's actively embracing new ways of working. Because Bulk is already pushing ahead with AI, you'll also be solving security and infrastructure challenges that many businesses haven't encountered yet. You'll also enjoy: • Monthly Bulk Bank Benefits Allowance, including subsidised gym membership. • 60% discount on Bulk products. • Birthday day off. • PerkBox subscription. • Flexi Start. • Optional additional annual leave. • Teammate pension scheme. • Life Assurance. • Medicash. • Volunteering day. • Cycle to Work Scheme. • Enhanced maternity and paternity leave. • Workplace nursery scheme. • Fully stocked Bulk Pantry. • Happy Hour drinks fridge on Thursdays and Fridays. • Summer working hours. • Hybrid working - 3 days in the Colchester office / 2 days from home. Your Experience / Background / Previous Roles May Include 3rd Line Engineer, Senior 3rd Line Engineer, Infrastructure Engineer, IT Infrastructure Engineer, Infrastructure & Security Engineer, IT Security Engineer, Systems & Security Engineer, Senior IT Engineer, Cloud Infrastructure Engineer, Cyber Security Engineer or Infrastructure Support Engineer. Apply Now If you've built strong 3rd Line foundations and you're ready for a role where you can take genuine ownership across infrastructure, cyber security and emerging AI technology, we'd love to hear from you. Bring your technical breadth, security mindset and curiosity about what's coming next - and help build the resilient, secure technology foundation behind Bulk's continued growth. Bulk is an equal opportunities employer and is committed to building a diverse and inclusive team. We welcome applications regardless of age, disability, race, gender, religion, sexual orientation, education, neurodiversity or any other protected characteristic. Application notice We take your privacy seriously . click apply for full job details
We are seeking a Lead Engineer to head the next generation XiP Compute Service (XCS2) team. The team works across both Java and Python, and significant experience in at least one of these languages is required. In this role you will design, build, and maintain the future engine room of Citi's enterprise-scale XiNG Platform (XiP). You will be working on a Greenfield build of a major new component. The current generation of the product is responsible for 1.5 billion risk calculations at Citi every day. The next generation of the product is expected to double the customer base and bring in huge new workloads. You will work closely with other software engineers, DevOps, and our customers to define technical strategy and ensure the reliable, secure, and scalable operation of the platform. Responsibilities Take a lead in defining the long-term strategic direction of XiP: Apply your experience and skills to develop next generation of the XiP Compute Service - making it faster, utilising resources more efficiently, and scaling to even greater sizes. This means adding new features without impacting platform performance in an undesirable manner; small changes multiplied by millions of calculations carry a high cost. It also means solving hard engineering problems, such as transferring small amounts of data to a huge number of machines with minimal overhead. Collaborate with Stakeholders to Define Platform Capabilities: Partner closely with key business stakeholders, product owners, and end-users to deeply understand their requirements, define the platform's capabilities, and translate business needs into technical specifications and solutions. Drive the implementation of these capabilities, ensuring they align with strategic objectives and deliver maximum business value. An essential skill will be assessing user requirements against the overall strategy of the application - to ensure to maintain a balance between user needs and application philosophy. This will mean explaining to senior clients that some of their requests will not be accepted, and crucially why. Take on the day-to-day leadership of the development team responsible for the next generation of XiP: Lead the team's Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to ensure a smooth and effective development workflow. Manage the project backlog, prioritize tasks, and coordinate development efforts to align with the product roadmap and strategic goals. Provide hands on technical leadership, guiding the team in architectural decisions, enforcing coding standards, and performing code reviews to maintain high-quality, robust, and scalable code. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment, encouraging best practices and continuous learning. Implement the new generation of Citi's Risk Calculation Engine: Participate in the design, development, and implementation of the next version of the XiP Risk Calculation Engine, focusing on understanding and fulfilling the needs of new platform customers. The current generation of the platform regularly parallelizes 250,000 hours of compute into a single 90-minute execution. The new platform needs to maintain this performance while enabling new workloads. Qualifications Professional software development experience with Java or Python. Solid experience with common frameworks and tooling (e.g. Spring, Spring Boot, Quarkus in Java. Or Flask, FastAPI, Pydantic in Python). Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes). Experience designing, building, and maintaining large-scale, distributed systems. Experience with RESTful API design and implementation. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Experience with unit testing, integration testing, and test automation frameworks. Experience working in Agile/Scrum development environments. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group Technology Job Family Applications Development Time Type Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Aug 24, 2026
Full time
We are seeking a Lead Engineer to head the next generation XiP Compute Service (XCS2) team. The team works across both Java and Python, and significant experience in at least one of these languages is required. In this role you will design, build, and maintain the future engine room of Citi's enterprise-scale XiNG Platform (XiP). You will be working on a Greenfield build of a major new component. The current generation of the product is responsible for 1.5 billion risk calculations at Citi every day. The next generation of the product is expected to double the customer base and bring in huge new workloads. You will work closely with other software engineers, DevOps, and our customers to define technical strategy and ensure the reliable, secure, and scalable operation of the platform. Responsibilities Take a lead in defining the long-term strategic direction of XiP: Apply your experience and skills to develop next generation of the XiP Compute Service - making it faster, utilising resources more efficiently, and scaling to even greater sizes. This means adding new features without impacting platform performance in an undesirable manner; small changes multiplied by millions of calculations carry a high cost. It also means solving hard engineering problems, such as transferring small amounts of data to a huge number of machines with minimal overhead. Collaborate with Stakeholders to Define Platform Capabilities: Partner closely with key business stakeholders, product owners, and end-users to deeply understand their requirements, define the platform's capabilities, and translate business needs into technical specifications and solutions. Drive the implementation of these capabilities, ensuring they align with strategic objectives and deliver maximum business value. An essential skill will be assessing user requirements against the overall strategy of the application - to ensure to maintain a balance between user needs and application philosophy. This will mean explaining to senior clients that some of their requests will not be accepted, and crucially why. Take on the day-to-day leadership of the development team responsible for the next generation of XiP: Lead the team's Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to ensure a smooth and effective development workflow. Manage the project backlog, prioritize tasks, and coordinate development efforts to align with the product roadmap and strategic goals. Provide hands on technical leadership, guiding the team in architectural decisions, enforcing coding standards, and performing code reviews to maintain high-quality, robust, and scalable code. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment, encouraging best practices and continuous learning. Implement the new generation of Citi's Risk Calculation Engine: Participate in the design, development, and implementation of the next version of the XiP Risk Calculation Engine, focusing on understanding and fulfilling the needs of new platform customers. The current generation of the platform regularly parallelizes 250,000 hours of compute into a single 90-minute execution. The new platform needs to maintain this performance while enabling new workloads. Qualifications Professional software development experience with Java or Python. Solid experience with common frameworks and tooling (e.g. Spring, Spring Boot, Quarkus in Java. Or Flask, FastAPI, Pydantic in Python). Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes). Experience designing, building, and maintaining large-scale, distributed systems. Experience with RESTful API design and implementation. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Experience with unit testing, integration testing, and test automation frameworks. Experience working in Agile/Scrum development environments. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group Technology Job Family Applications Development Time Type Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Principal Software Engineer - Simple Machines Hybrid Full-time London, UK About Simple Machines Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering-building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises, technology companies, and governments to help them better understand their organisations, customers, and citizens. Our teams design and build large-scale data platforms, intelligent systems, and high-impact software products. We engineer data to life . The Role As aPrincipal Software Engineer, you'll play a key role in delivering complex, scalable systems for ambitious clients. This is a hands-on engineering role where you'll work across the full stack-backend services, APIs, frontend components, data pipelines, and cloud infrastructure. You'll collaborate closely with our internal engineering teams and client stakeholders, influencing technical direction while remaining deeply involved in design and delivery. This role suits someone who enjoys solving hard problems, owning outcomes end-to-end, and operating in a consultative engineering environment. What You'll Be Doing Design and build backend services for a highly scalable marketing platform Own the design of APIs, applications, and supporting infrastructure Document technical designs and requirements clearly for both internal teams and clients Deliver solutions end-to-end: build, automate, deploy, operate, and support Partner with clients and delivery teams to translate business requirements into robust technical solutions Work within an Agile, iterative delivery model Collaborate in a hybrid setup with both remote and in-person team members and stakeholders The Team You'll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across the full stack, support one another's growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions. Strong engineering culture, real influence, and meaningful problems to solve. What We're Looking For Core Experience Strong foundation in JVM-based development (Kotlin preferred, Java welcome) Experience designing and implementing data-driven APIs Background working on large-scale web services Solid SQL experience, including schema design and performance-aware queries Deep experience with automated testing (unit, integration; TDD/BDD preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly
Aug 24, 2026
Full time
Principal Software Engineer - Simple Machines Hybrid Full-time London, UK About Simple Machines Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering-building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises, technology companies, and governments to help them better understand their organisations, customers, and citizens. Our teams design and build large-scale data platforms, intelligent systems, and high-impact software products. We engineer data to life . The Role As aPrincipal Software Engineer, you'll play a key role in delivering complex, scalable systems for ambitious clients. This is a hands-on engineering role where you'll work across the full stack-backend services, APIs, frontend components, data pipelines, and cloud infrastructure. You'll collaborate closely with our internal engineering teams and client stakeholders, influencing technical direction while remaining deeply involved in design and delivery. This role suits someone who enjoys solving hard problems, owning outcomes end-to-end, and operating in a consultative engineering environment. What You'll Be Doing Design and build backend services for a highly scalable marketing platform Own the design of APIs, applications, and supporting infrastructure Document technical designs and requirements clearly for both internal teams and clients Deliver solutions end-to-end: build, automate, deploy, operate, and support Partner with clients and delivery teams to translate business requirements into robust technical solutions Work within an Agile, iterative delivery model Collaborate in a hybrid setup with both remote and in-person team members and stakeholders The Team You'll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across the full stack, support one another's growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions. Strong engineering culture, real influence, and meaningful problems to solve. What We're Looking For Core Experience Strong foundation in JVM-based development (Kotlin preferred, Java welcome) Experience designing and implementing data-driven APIs Background working on large-scale web services Solid SQL experience, including schema design and performance-aware queries Deep experience with automated testing (unit, integration; TDD/BDD preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Aug 24, 2026
Full time
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Aug 24, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Spectrum IT are working with an enterprise digital platform to recruit a Contract Principal Software Architect to support their widely used, real-world consumer technology platform. This is an O UTSIDE IR35 role, for an initial 6 months contract and will be hybrid working: 2 days onsite in Uxbridge per week. This is a brownfield architecture environment . The successful architect will not be designing a new platform from scratch. Instead, they will be working within a live production estate, balancing existing technology, legacy decisions, technical debt, team structures and commercial priorities against the need to improve scalability, resilience, maintainability and customer experience. The role therefore requires a pragmatic, delivery-focused architect who can understand where the platform is today, identify the areas that genuinely need to change, and work with engineering teams to make those improvements incrementally. The Role You will play a key role in defining and guiding the technical architecture underpinning the organisation's products and whole platform. The focus will be on creating a coherent, scalable and maintainable technology landscape, while supporting the incremental evolution of existing systems. You will work closely with Engineering, Product, Platform and Technical Operations teams to make pragmatic architectural decisions that support both immediate delivery and longer-term platform strategy. This is not a purely strategic architecture role. The successful contractor will need to be comfortable getting into the detail of system design, service boundaries, integrations, data ownership, cloud architecture and non-functional requirements, while providing technical direction across multiple engineering teams. Key Responsibilities Define and maintain architectural principles, standards and target-state designs across the technology landscape. Provide architectural leadership for complex initiatives, system changes and cross-platform integrations. Define clear service boundaries, ownership models and integration patterns . Support engineering teams in delivering scalable, maintainable and well-structured solutions. Assess existing systems and identify opportunities to simplify, consolidate and modernise platform capabilities. Support the evolution of legacy systems towards agreed target-state architectures through pragmatic, incremental change. Make and guide technical decisions around distributed systems, APIs, integrations, data and cloud architecture . Ensure security, resilience, observability, performance and scalability are incorporated into solution designs. Identify architectural risks, technical debt and platform constraints, and establish appropriate mitigation strategies. Provide technical review and architectural guidance for significant changes across multiple engineering teams. Work closely with Engineering and Product leadership on major technical decisions and platform roadmaps. Promote consistent architectural standards, engineering quality and technical decision-making. Act as a trusted technical advisor across complex, cross-functional technology initiatives. Support and mentor senior engineers and technical leads, helping embed architectural thinking within delivery teams. Required Skills & Experience Strong commercial experience working as a Software Architect / Principal Architect within complex software environments. Proven experience designing distributed systems and modern software platforms . Strong understanding of software architecture patterns, APIs, integrations and cloud-based systems. Experience operating within Microsoft Azure or another major cloud environment. Demonstrable experience defining service boundaries, ownership models and integration patterns . Strong understanding of SQL and NoSQL data technologies and the architectural considerations involved in selecting appropriate data stores. Experience working with transactional systems where data integrity, consistency, resilience and reliability are critical. Strong understanding of non-functional architecture, including security, scalability, performance, observability and resilience . Experience modernising or evolving existing platforms incrementally, including working with legacy systems and technical debt. Technical Environment .NET / C# Microsoft Azure Python Node Distributed and service-based architectures REST APIs and integrations SQL and NoSQL data technologies Cloud infrastructure and platform services Modern DevOps and CI/CD practices GitHub Jira Confluence What We're Looking For This role would suit a software focused architect who is comfortable operating between high-level architecture and hands-on technical detail. You'll be able to look at a complex existing platform, understand where the architectural problems and constraints sit, and then work with engineering teams to determine what should change, why it should change, and how to get there pragmatically. For more information and to submit your interest, please apply with an updated CV. Candidates for this role must be within a commutable distance of Uxbridge due to the hybrid working requirement. Spectrum IT Recruitment (South) Limited is acting as an Employment Business in relation to this vacancy.
Aug 23, 2026
Contractor
Spectrum IT are working with an enterprise digital platform to recruit a Contract Principal Software Architect to support their widely used, real-world consumer technology platform. This is an O UTSIDE IR35 role, for an initial 6 months contract and will be hybrid working: 2 days onsite in Uxbridge per week. This is a brownfield architecture environment . The successful architect will not be designing a new platform from scratch. Instead, they will be working within a live production estate, balancing existing technology, legacy decisions, technical debt, team structures and commercial priorities against the need to improve scalability, resilience, maintainability and customer experience. The role therefore requires a pragmatic, delivery-focused architect who can understand where the platform is today, identify the areas that genuinely need to change, and work with engineering teams to make those improvements incrementally. The Role You will play a key role in defining and guiding the technical architecture underpinning the organisation's products and whole platform. The focus will be on creating a coherent, scalable and maintainable technology landscape, while supporting the incremental evolution of existing systems. You will work closely with Engineering, Product, Platform and Technical Operations teams to make pragmatic architectural decisions that support both immediate delivery and longer-term platform strategy. This is not a purely strategic architecture role. The successful contractor will need to be comfortable getting into the detail of system design, service boundaries, integrations, data ownership, cloud architecture and non-functional requirements, while providing technical direction across multiple engineering teams. Key Responsibilities Define and maintain architectural principles, standards and target-state designs across the technology landscape. Provide architectural leadership for complex initiatives, system changes and cross-platform integrations. Define clear service boundaries, ownership models and integration patterns . Support engineering teams in delivering scalable, maintainable and well-structured solutions. Assess existing systems and identify opportunities to simplify, consolidate and modernise platform capabilities. Support the evolution of legacy systems towards agreed target-state architectures through pragmatic, incremental change. Make and guide technical decisions around distributed systems, APIs, integrations, data and cloud architecture . Ensure security, resilience, observability, performance and scalability are incorporated into solution designs. Identify architectural risks, technical debt and platform constraints, and establish appropriate mitigation strategies. Provide technical review and architectural guidance for significant changes across multiple engineering teams. Work closely with Engineering and Product leadership on major technical decisions and platform roadmaps. Promote consistent architectural standards, engineering quality and technical decision-making. Act as a trusted technical advisor across complex, cross-functional technology initiatives. Support and mentor senior engineers and technical leads, helping embed architectural thinking within delivery teams. Required Skills & Experience Strong commercial experience working as a Software Architect / Principal Architect within complex software environments. Proven experience designing distributed systems and modern software platforms . Strong understanding of software architecture patterns, APIs, integrations and cloud-based systems. Experience operating within Microsoft Azure or another major cloud environment. Demonstrable experience defining service boundaries, ownership models and integration patterns . Strong understanding of SQL and NoSQL data technologies and the architectural considerations involved in selecting appropriate data stores. Experience working with transactional systems where data integrity, consistency, resilience and reliability are critical. Strong understanding of non-functional architecture, including security, scalability, performance, observability and resilience . Experience modernising or evolving existing platforms incrementally, including working with legacy systems and technical debt. Technical Environment .NET / C# Microsoft Azure Python Node Distributed and service-based architectures REST APIs and integrations SQL and NoSQL data technologies Cloud infrastructure and platform services Modern DevOps and CI/CD practices GitHub Jira Confluence What We're Looking For This role would suit a software focused architect who is comfortable operating between high-level architecture and hands-on technical detail. You'll be able to look at a complex existing platform, understand where the architectural problems and constraints sit, and then work with engineering teams to determine what should change, why it should change, and how to get there pragmatically. For more information and to submit your interest, please apply with an updated CV. Candidates for this role must be within a commutable distance of Uxbridge due to the hybrid working requirement. Spectrum IT Recruitment (South) Limited is acting as an Employment Business in relation to this vacancy.
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. Responsibilities AI Strategy & Platform Architecture Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership-training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why This Role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Aug 22, 2026
Full time
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. Responsibilities AI Strategy & Platform Architecture Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership-training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why This Role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details
Aug 21, 2026
Full time
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details
Job Title: Software Architect Salary: £80-90K base + benefits Location: Remote in the UK Work Type: Permanent Role WeDo is partnering with a global technology business undergoing a major platform transformation following the merger of two established product lines. The organisation is building a unified, next generation platform designed to support multiple verticals and scale globally. This is a rare opportunity to join at the ground floor of a greenfield architecture initiative where there is currently no defined application architecture in place. You will play a key role in shaping a modern, cloud first platform that integrates IoT, distributed systems, and AI driven capabilities. The business operates across the UK and US with distributed engineering teams, offering exposure to international collaboration and complex, real world system challenges. With a planned platform go live in 2027, this role offers long term impact and ownership. Responsibilities Designing and defining application level architecture for a large scale distributed platform Building a unified system from two legacy platforms into a scalable, multi tenant solution Defining service boundaries, APIs, and integration patterns across cloud and on prem environments Working closely with developers, DevOps, and product teams to deliver robust system designs Solving complex challenges around low latency, connectivity, and real time data access Contributing hands on to prototyping and solving medium complexity engineering problems Supporting the transition of customers from hybrid environments to full cloud solutions Ensuring architectural decisions align with scalability, performance, and long term maintainability Required Skills Strong experience in software or application architecture within distributed cloud environments Proven background working with Azure and cloud native systems Solid experience with C# and .NET Strong understanding of microservices, APIs (REST, messaging), and system design principles Experience designing systems that operate across cloud and on prem environments Knowledge of SQL and NoSQL databases Exposure to IoT or hardware integrated systems is beneficial Understanding of security fundamentals such as OAuth, TLS, and encryption Experience working in distributed teams across multiple time zones Ability to operate autonomously and take ownership of architectural decisions Why should I apply? This is a genuine opportunity to build something from the ground up rather than inheriting legacy constraints. You will have full ownership of application architecture in a high impact transformation programme, working on a platform that combines cloud, IoT, and AI technologies. The business is investing heavily in innovation, including AI driven development approaches, and offers the chance to work on complex, meaningful engineering challenges with global visibility. If you are looking for a role where you can influence direction, mentor others, and see your architecture come to life at scale, this is a strong opportunity to do so. Interested? Apply for the role today or send your CV to
Aug 21, 2026
Full time
Job Title: Software Architect Salary: £80-90K base + benefits Location: Remote in the UK Work Type: Permanent Role WeDo is partnering with a global technology business undergoing a major platform transformation following the merger of two established product lines. The organisation is building a unified, next generation platform designed to support multiple verticals and scale globally. This is a rare opportunity to join at the ground floor of a greenfield architecture initiative where there is currently no defined application architecture in place. You will play a key role in shaping a modern, cloud first platform that integrates IoT, distributed systems, and AI driven capabilities. The business operates across the UK and US with distributed engineering teams, offering exposure to international collaboration and complex, real world system challenges. With a planned platform go live in 2027, this role offers long term impact and ownership. Responsibilities Designing and defining application level architecture for a large scale distributed platform Building a unified system from two legacy platforms into a scalable, multi tenant solution Defining service boundaries, APIs, and integration patterns across cloud and on prem environments Working closely with developers, DevOps, and product teams to deliver robust system designs Solving complex challenges around low latency, connectivity, and real time data access Contributing hands on to prototyping and solving medium complexity engineering problems Supporting the transition of customers from hybrid environments to full cloud solutions Ensuring architectural decisions align with scalability, performance, and long term maintainability Required Skills Strong experience in software or application architecture within distributed cloud environments Proven background working with Azure and cloud native systems Solid experience with C# and .NET Strong understanding of microservices, APIs (REST, messaging), and system design principles Experience designing systems that operate across cloud and on prem environments Knowledge of SQL and NoSQL databases Exposure to IoT or hardware integrated systems is beneficial Understanding of security fundamentals such as OAuth, TLS, and encryption Experience working in distributed teams across multiple time zones Ability to operate autonomously and take ownership of architectural decisions Why should I apply? This is a genuine opportunity to build something from the ground up rather than inheriting legacy constraints. You will have full ownership of application architecture in a high impact transformation programme, working on a platform that combines cloud, IoT, and AI technologies. The business is investing heavily in innovation, including AI driven development approaches, and offers the chance to work on complex, meaningful engineering challenges with global visibility. If you are looking for a role where you can influence direction, mentor others, and see your architecture come to life at scale, this is a strong opportunity to do so. Interested? Apply for the role today or send your CV to
Principal Databricks Engineer / Architect This is a defining role for a technology leader who wants to build things that matter and build the teams that deliver them. As a Principal Databricks Engineer / Architect at Nimble, you won't just be writing code or drawing diagrams; you'll be setting the technical direction for our most significant client engagements and lifting the engineers around you as you go. You'll be a senior technical voice in our Databricks capability advising on architecture, leading delivery teams, and being the person our clients trust when the problem is hard and the path isn't obvious. We're looking for a hands-on leader who can hold both a room of engineers and client stakeholders with equal confidence, and who has strong opinions (loosely held) about what good data engineering actually looks like. Your Impact 1. Architectural Vision & Technical Ownership Design for the Real World: Use the entirety of the Databricks platform, in combination with cloud provider services, to design robust, pragmatic solutions. You know when to build, when to buy, and how to advocate for the right choice. End-to-End Accountability: Own the architecture across the full lifecycle of ingestion, transformation, governance, orchestration, serving and consumption whilst staying close enough to the code to know your designs hold up in practice. Data Engineering Fundamentals: Bring rigour to how we model, test, deploy and operate data platforms: dimensional and medallion modelling, CI/CD, infrastructure as code, observability, cost management and data quality by design. 2. Leading Teams of Engineers Lead from the Front: Build and lead high-performing delivery teams, setting direction, breaking down ambiguity and unblocking the people around you. Set the Standard: Establish the bar for "what good looks like" across multiple teams through design reviews, coding standards, architectural principles and reusable patterns. Your expertise and engagement will help to ensure we maintain high operational standards. Empower Others: Mentor and coach Senior and Lead consultants, giving them the confidence and support to drive technical initiatives of their own. Helping to grow the capability, not just build solutions. 3. Leading Our Clients Trusted Technical Advisor: Build lasting relationships with senior client stakeholders and become their go-to person for technical vision, strategy and the honest answer. Translate Complexity: Diagnose the real problem behind the stated requirement, and explain trade-offs, risks and options in language that lands with both engineers and executives. Bring Clients With You: Uplift client engineering teams as well as your own, leaving them more capable than you found them. What You Bring Databricks Expertise: Significant hands-on experience with Databricks, having delivered multiple platform implementations end to end, backed by certifications (Databricks Data Engineer Professional or equivalent preferred; Data Engineer Associate as a minimum). Databricks Champion status is a strong plus. Solution Architecture: A proven track record of designing and owning data platform architectures at scale, across at least one major cloud (Azure, AWS or GCP), with a clear grasp of the non-functional requirements that make or break them. Data Engineering Depth: Strong command of Spark, SQL and Python, data modelling, streaming and batch patterns, performance tuning, and engineering practice (version control, testing, automated deployment). Engineering Leadership: Demonstrable experience leading teams of engineers - technically and as people - in a consultancy, product or in-house environment. Client Leadership: Confidence and credibility with senior stakeholders, and the judgement to know when to push back, when to compromise and when to Engaging Communicator: Exceptional interpersonal skills, able to build rapport quickly and explain hard technical ideas to non-technical audiences without losing the substance. Why Nimble? We don't just want you to work here; we want you to grow here. We offer a flat structure where your voice shapes our goals and our future. Autonomy & Growth: £2k annual "Champion Fund" to spend entirely as you wish on your own L&D, plus dedicated time to learn. Reward: Competitive salary, company pension, and a £3,000 referral scheme for every successful hire you bring in. You'll also get access to a cycle scheme and EV scheme through salary sacrifice. Wellness: Private healthcare (for you and a family member), regular 1-1s with mental health first aiders, and a supportive, "egoless" culture. Community & Culture: An active community of Nimblers with a range of shared interests. From capability meet ups, tech talks and meals to escape rooms, bouldering walls and gin tasting, we genuinely enjoy each other's company. Flexibility: Top-tier equipment (Mac or Windows) and a relaxed environment that focuses on client outcomes.
Aug 20, 2026
Full time
Principal Databricks Engineer / Architect This is a defining role for a technology leader who wants to build things that matter and build the teams that deliver them. As a Principal Databricks Engineer / Architect at Nimble, you won't just be writing code or drawing diagrams; you'll be setting the technical direction for our most significant client engagements and lifting the engineers around you as you go. You'll be a senior technical voice in our Databricks capability advising on architecture, leading delivery teams, and being the person our clients trust when the problem is hard and the path isn't obvious. We're looking for a hands-on leader who can hold both a room of engineers and client stakeholders with equal confidence, and who has strong opinions (loosely held) about what good data engineering actually looks like. Your Impact 1. Architectural Vision & Technical Ownership Design for the Real World: Use the entirety of the Databricks platform, in combination with cloud provider services, to design robust, pragmatic solutions. You know when to build, when to buy, and how to advocate for the right choice. End-to-End Accountability: Own the architecture across the full lifecycle of ingestion, transformation, governance, orchestration, serving and consumption whilst staying close enough to the code to know your designs hold up in practice. Data Engineering Fundamentals: Bring rigour to how we model, test, deploy and operate data platforms: dimensional and medallion modelling, CI/CD, infrastructure as code, observability, cost management and data quality by design. 2. Leading Teams of Engineers Lead from the Front: Build and lead high-performing delivery teams, setting direction, breaking down ambiguity and unblocking the people around you. Set the Standard: Establish the bar for "what good looks like" across multiple teams through design reviews, coding standards, architectural principles and reusable patterns. Your expertise and engagement will help to ensure we maintain high operational standards. Empower Others: Mentor and coach Senior and Lead consultants, giving them the confidence and support to drive technical initiatives of their own. Helping to grow the capability, not just build solutions. 3. Leading Our Clients Trusted Technical Advisor: Build lasting relationships with senior client stakeholders and become their go-to person for technical vision, strategy and the honest answer. Translate Complexity: Diagnose the real problem behind the stated requirement, and explain trade-offs, risks and options in language that lands with both engineers and executives. Bring Clients With You: Uplift client engineering teams as well as your own, leaving them more capable than you found them. What You Bring Databricks Expertise: Significant hands-on experience with Databricks, having delivered multiple platform implementations end to end, backed by certifications (Databricks Data Engineer Professional or equivalent preferred; Data Engineer Associate as a minimum). Databricks Champion status is a strong plus. Solution Architecture: A proven track record of designing and owning data platform architectures at scale, across at least one major cloud (Azure, AWS or GCP), with a clear grasp of the non-functional requirements that make or break them. Data Engineering Depth: Strong command of Spark, SQL and Python, data modelling, streaming and batch patterns, performance tuning, and engineering practice (version control, testing, automated deployment). Engineering Leadership: Demonstrable experience leading teams of engineers - technically and as people - in a consultancy, product or in-house environment. Client Leadership: Confidence and credibility with senior stakeholders, and the judgement to know when to push back, when to compromise and when to Engaging Communicator: Exceptional interpersonal skills, able to build rapport quickly and explain hard technical ideas to non-technical audiences without losing the substance. Why Nimble? We don't just want you to work here; we want you to grow here. We offer a flat structure where your voice shapes our goals and our future. Autonomy & Growth: £2k annual "Champion Fund" to spend entirely as you wish on your own L&D, plus dedicated time to learn. Reward: Competitive salary, company pension, and a £3,000 referral scheme for every successful hire you bring in. You'll also get access to a cycle scheme and EV scheme through salary sacrifice. Wellness: Private healthcare (for you and a family member), regular 1-1s with mental health first aiders, and a supportive, "egoless" culture. Community & Culture: An active community of Nimblers with a range of shared interests. From capability meet ups, tech talks and meals to escape rooms, bouldering walls and gin tasting, we genuinely enjoy each other's company. Flexibility: Top-tier equipment (Mac or Windows) and a relaxed environment that focuses on client outcomes.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.# Agile Delivery, Scrum and Coaching - Consultant/Senior Consultant - Digital ExcellenceNewcastle, Glasgow, Manchester, London# Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE # will be joining our Agile Delivery, Scrum, and Coaching capability. We're part of the Digital Factories Tribe, which is part of the Business Technology business unit. As a member of our team, you will become part of a growing and dynamic community of technology professionals. Here, we are continually sharing knowledge and expertise, driven by a passion for user-centred design, critical thinking, and the innovative creation of digital services and products.# a Management Consultant specialising in Agile Delivery and Coaching, you will play a crucial role in delivering transformational programmes, fostering collaboration, and championing agile practices. This role encompasses key responsibilities from the Delivery Manager, Scrum Master, and Agile Coach positions. 3. Scrum Master Responsibilities Guide teams on Agile/Scrum practices, embracing and promoting Scrum values in daily ceremonies and interactions. Identify and support the Scrum team and stakeholders in dealing with blockers and impediments, emphasising values such as respect and courage.# part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE # are looking for people with: Proven experience in undertaking roles such as Delivery Manager, Scrum Master, or Agile Coach in teams applying Agile principles. We welcome candidates from all sectors and markets from public sector organisations to start-ups. Experience in delivering multi-disciplinary products and working in cross-functional teams. Excellent communication and interpersonal skills with the ability to connect across multiple teams and seniority levels. Familiarity with Agile delivery management and collaboration such as Jira, Azure DevOps, Confluence, Miro etc. Demonstrated ability to coach teams and individuals, knowing when to lead from the front and when to allow teams to self-manage. You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas including Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines : Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.Whilst you will have London , Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK.
Aug 17, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.# Agile Delivery, Scrum and Coaching - Consultant/Senior Consultant - Digital ExcellenceNewcastle, Glasgow, Manchester, London# Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE # will be joining our Agile Delivery, Scrum, and Coaching capability. We're part of the Digital Factories Tribe, which is part of the Business Technology business unit. As a member of our team, you will become part of a growing and dynamic community of technology professionals. Here, we are continually sharing knowledge and expertise, driven by a passion for user-centred design, critical thinking, and the innovative creation of digital services and products.# a Management Consultant specialising in Agile Delivery and Coaching, you will play a crucial role in delivering transformational programmes, fostering collaboration, and championing agile practices. This role encompasses key responsibilities from the Delivery Manager, Scrum Master, and Agile Coach positions. 3. Scrum Master Responsibilities Guide teams on Agile/Scrum practices, embracing and promoting Scrum values in daily ceremonies and interactions. Identify and support the Scrum team and stakeholders in dealing with blockers and impediments, emphasising values such as respect and courage.# part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE # are looking for people with: Proven experience in undertaking roles such as Delivery Manager, Scrum Master, or Agile Coach in teams applying Agile principles. We welcome candidates from all sectors and markets from public sector organisations to start-ups. Experience in delivering multi-disciplinary products and working in cross-functional teams. Excellent communication and interpersonal skills with the ability to connect across multiple teams and seniority levels. Familiarity with Agile delivery management and collaboration such as Jira, Azure DevOps, Confluence, Miro etc. Demonstrated ability to coach teams and individuals, knowing when to lead from the front and when to allow teams to self-manage. You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas including Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines : Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.Whilst you will have London , Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary: Senior Director - Enterprise UK&I Are you a visionary sales leader with a proven track record in the Data industry? We are seeking a dynamic and results-driven Senior Director to lead our Enterprise Segment team in NetApp UK. Join a leading player in the storage industry, where you will have the opportunity to shape our sales strategy and drive revenue growth in the enterprise market. Responsibilities: Lead and inspire a high-performing team of sales professionals focused on the Enterprise Segment. Develop and execute strategic sales plans to achieve revenue targets and market share growth. Build and maintain strong relationships with key enterprise customers, understanding their business needs and providing tailored NetApp solutions. Collaborate with cross-functional teams, including product management and marketing, to align strategies and drive customer success. Provide guidance and mentorship to the sales team, fostering a culture of continuous learning. Drive sales excellence by implementing best practices, optimizing sales processes, and ensuring effective pipeline management. Collaborate with channel partners and strategic alliances to expand market reach and drive customer acquisition. Requirements: Proven track record of success in sales leadership roles within the technology industry, preferably with experience in enterprise segment sales. In-depth knowledge of storage, Data, AI, Hybrid Cloud solutions and technologies. Strong understanding of the enterprise market dynamics, customer pain points, and buying behaviors. Demonstrated ability to build and manage high-performing sales teams, driving them towards achieving ambitious revenue targets. Strategic mindset with the ability to think long-term and develop innovative sales strategies. Results-oriented mindset with a focus on exceeding sales targets and driving business growth Education and Experience: Degree in technical or business curriculum or equivalent professional experience 5+ years of experience in senior sales leadership roles within Enterprise. Proven track record of overachievement of quota and KPIs Previous experience in enterprise software, SaaS, and/or Cloud At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Aug 16, 2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary: Senior Director - Enterprise UK&I Are you a visionary sales leader with a proven track record in the Data industry? We are seeking a dynamic and results-driven Senior Director to lead our Enterprise Segment team in NetApp UK. Join a leading player in the storage industry, where you will have the opportunity to shape our sales strategy and drive revenue growth in the enterprise market. Responsibilities: Lead and inspire a high-performing team of sales professionals focused on the Enterprise Segment. Develop and execute strategic sales plans to achieve revenue targets and market share growth. Build and maintain strong relationships with key enterprise customers, understanding their business needs and providing tailored NetApp solutions. Collaborate with cross-functional teams, including product management and marketing, to align strategies and drive customer success. Provide guidance and mentorship to the sales team, fostering a culture of continuous learning. Drive sales excellence by implementing best practices, optimizing sales processes, and ensuring effective pipeline management. Collaborate with channel partners and strategic alliances to expand market reach and drive customer acquisition. Requirements: Proven track record of success in sales leadership roles within the technology industry, preferably with experience in enterprise segment sales. In-depth knowledge of storage, Data, AI, Hybrid Cloud solutions and technologies. Strong understanding of the enterprise market dynamics, customer pain points, and buying behaviors. Demonstrated ability to build and manage high-performing sales teams, driving them towards achieving ambitious revenue targets. Strategic mindset with the ability to think long-term and develop innovative sales strategies. Results-oriented mindset with a focus on exceeding sales targets and driving business growth Education and Experience: Degree in technical or business curriculum or equivalent professional experience 5+ years of experience in senior sales leadership roles within Enterprise. Proven track record of overachievement of quota and KPIs Previous experience in enterprise software, SaaS, and/or Cloud At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
The Opportunity: As the Network Engineer, you will be a part of a team of network experts, managing the network delivery to completion and ensure hand-off to necessary support teams. You will administer aspects of large-scale projects and engineers, tests, documents, and deploys network infrastructure solutions. You will manage technical aspects of assigned projects, including planning and resolving issues. You will work independently to provide technical solutions to solve complex challenges for both IT-facing and business-facing customers. You will also ensure the successful implementation of technology projects by working with Solutions Architecture, Operations, information security, and other departments. You will report to the AVP of Network Infrastructure. The Day-to-Day: Partner with Engineering to help implement proposed solutions for networking Provide and help to maintain documentation given to operations team to populate within confluence site Manage the Infrastructure environment with service oriented approach and efficient delivery to meet the customer needs, requirements and their service expectations Work with engineering to gauge the effectiveness of existing infrastructure systems; develop strategies for improving or further using these systems Manage the efficient daily operations and maintenance of the IT services with best practices, automation and orchestration capabilities and ensure effectiveness of the service Take end-to-end ownership to prevent and solve network issues, anticipate and avoid problems and in taking actions and optimizations Identify the areas for improvements and lead the effort in standardising processes, streamlining and making processes simple Provide technical escalation point for production support during normal business and off-hours Your Qualifications: 2+ years' experience in Network Engineering Experience analysing new products and making recommendations for implementation Experience in data centre relocations Azure fundamentals (AZ900) and AZ700 Azure networking fluency Practical experience using Terraform to manage at scale Knowledge of Cisco routing and switching technologies Experience with WAN, Campus, Data Centre, Wireless, and networks at an enterprise scale Experience with Cisco SD-WAN technologies Viptela and Meraki Experience with firewalls and VPN devices Solid knowledge of infrastructure systems including compute, OS, hypervisor, network, storage, database and security Experience with load balancers Why Fisher Investments Europe: The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients' best interests by using a simple and transparent fee structure and recognised European custodians. It's the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays Enhanced maternity pay package with 16 weeks' top up to full base pay for eligible employees $10,000 fertility, hormonal health and family-forming benefit A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions Gym subsidy of up to £50 per month Employee Assistance Program and other emotional wellbeing services A collaborative working environment that practises ongoing training, educational support and employee appreciation events This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency. FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER
Aug 10, 2026
Full time
The Opportunity: As the Network Engineer, you will be a part of a team of network experts, managing the network delivery to completion and ensure hand-off to necessary support teams. You will administer aspects of large-scale projects and engineers, tests, documents, and deploys network infrastructure solutions. You will manage technical aspects of assigned projects, including planning and resolving issues. You will work independently to provide technical solutions to solve complex challenges for both IT-facing and business-facing customers. You will also ensure the successful implementation of technology projects by working with Solutions Architecture, Operations, information security, and other departments. You will report to the AVP of Network Infrastructure. The Day-to-Day: Partner with Engineering to help implement proposed solutions for networking Provide and help to maintain documentation given to operations team to populate within confluence site Manage the Infrastructure environment with service oriented approach and efficient delivery to meet the customer needs, requirements and their service expectations Work with engineering to gauge the effectiveness of existing infrastructure systems; develop strategies for improving or further using these systems Manage the efficient daily operations and maintenance of the IT services with best practices, automation and orchestration capabilities and ensure effectiveness of the service Take end-to-end ownership to prevent and solve network issues, anticipate and avoid problems and in taking actions and optimizations Identify the areas for improvements and lead the effort in standardising processes, streamlining and making processes simple Provide technical escalation point for production support during normal business and off-hours Your Qualifications: 2+ years' experience in Network Engineering Experience analysing new products and making recommendations for implementation Experience in data centre relocations Azure fundamentals (AZ900) and AZ700 Azure networking fluency Practical experience using Terraform to manage at scale Knowledge of Cisco routing and switching technologies Experience with WAN, Campus, Data Centre, Wireless, and networks at an enterprise scale Experience with Cisco SD-WAN technologies Viptela and Meraki Experience with firewalls and VPN devices Solid knowledge of infrastructure systems including compute, OS, hypervisor, network, storage, database and security Experience with load balancers Why Fisher Investments Europe: The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients' best interests by using a simple and transparent fee structure and recognised European custodians. It's the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays Enhanced maternity pay package with 16 weeks' top up to full base pay for eligible employees $10,000 fertility, hormonal health and family-forming benefit A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions Gym subsidy of up to £50 per month Employee Assistance Program and other emotional wellbeing services A collaborative working environment that practises ongoing training, educational support and employee appreciation events This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency. FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER
