You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Jan 28, 2026
Full time
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 28, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Join a digital first bank that's powered by people. About Join a digital-first bank that's powered by people. Our technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of banking services for our customers around the world. Help shape the future of digital-first banking for our customers. We are currently seeking an experienced professional to join our team in the role of Principal Enterprise Architect for Identity and Access Management. You'll partner with management across Technology to define the IAM strategy that will define the future technology state to enable our business strategy. You'll manage the IAM Architects to deliver the strategy, fostering an inclusive of collaboration, innovation, and excellence; whilst improving the customer experience. You'll be responsible and accountable for directing the operation of the global architecture practice for IAM, including design choices and business strategy, satisfying all relevant regulatory and operational risk controls. You'll manage the Enterprise IAM (EIAM) and Customer IAM (CIAM) foundational areas, including Authentication (MFA, Passwordless), Authorization, Privileged Access Management (PAM), identity and access governance, identity federation, secrets management, role-based access etc. Job Requirements Impact on the Business/Function Define, maintain, and own the IAM architecture strategy and roadmap, incorporating ZeroTrust as appropriate, ensuring alignment to other HSBC technology strategies and providing Design Authority sponsorship for major IAM initiatives across the Group. Provide assurance of the solutions designs produced within Cybersecurity and support the Engineering teams in the production of execution plans in executing the Strategies. Introduce new practices, processes, operating model, techniques, products, services, technologies and standards where needed. Customers / Stakeholders Create a customer-centric culture, building sustainable customer strategies based on customer insight and regional markets. Build and maintain strategic stakeholder relationships at all levels: across Global Businesses and Technology and key strategic partnerships with third parties. Influential across both HSBC's business and technology executives to drive the realisation of our Technology strategy Leadership & Teamwork Enable the Cybersecurity Architecture organisation to achieve business outcomes by empowering developers with world-class technology and practices. Co-manage the Cybersecurity Architecture hiring strategy to ensure we are attracting diverse high-performing talent. Create an architecture culture that fosters experimentation and learning and on financial discipline Operational Effectiveness & Control Ensure adherence to, and manage effectively against HSBC's Operational Risk Management Framework, HSBC's Controls, Functional Instruction Manual (FIM) and external regulatory requirements. Ensures Architecture adheres to ethical behaviour / HSBC's values. Manage architecture and product reviews through the appropriate governance mechanisms ensuring peer review of all activities. Qualification and Skills Provide expert knowledge & expertise in design of the following key capabilities: Identity and Credential Management Authentication AuthZ / Access Control Accounting User, Behaviour and Biometrics Analytics Fraud Detection & Prevention Access Governance Secrets Management Privileged Access Management IAM Tooling, including Privilege Access Management Monitoring Significant expertise in: APIs; Cloud computing (GCP and AWS); Event Streaming (Kafka); AI / Machine Learning / GenAI; Platform Engineering; and DevSecOps. Experience of applying modern architecture: APIs, micro services, data foundation, advanced analytics / Machine Learning and directing Cloud provider capabilities. Hands-on expertise of multiple coding languages e.g., Java, Python, Rust; & software development frameworks. Extensive experience in senior Architecture / Cybersecurity leadership roles within large scale, complex and international organisations. Recognised expertise through Industry qualifications (such as CISSP, CISM, ISSAP, CCSP etc.). Contributions in the scientific community, speaking experience, or presence in the open-source community. Demonstrate knowledge of financial services, with a particular focus on the implications of IAM for HSBC's three global businesses and supporting functions. Experience in planning and managing significant expenditure in a complex organisation, with deep financial and commercial awareness. Knowledge of the external environment and drivers - regulatory, political, competitor and market. Strong strategic thinking and problem-solving abilities with a track record of driving innovative technical solutions and continuous improvement. Experience of managing people within a complex matrix environment, globally across cultures. Provide technical thought leadership in evaluation of new technologies Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk: Email: Telephone:
Jan 28, 2026
Full time
Join a digital first bank that's powered by people. About Join a digital-first bank that's powered by people. Our technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of banking services for our customers around the world. Help shape the future of digital-first banking for our customers. We are currently seeking an experienced professional to join our team in the role of Principal Enterprise Architect for Identity and Access Management. You'll partner with management across Technology to define the IAM strategy that will define the future technology state to enable our business strategy. You'll manage the IAM Architects to deliver the strategy, fostering an inclusive of collaboration, innovation, and excellence; whilst improving the customer experience. You'll be responsible and accountable for directing the operation of the global architecture practice for IAM, including design choices and business strategy, satisfying all relevant regulatory and operational risk controls. You'll manage the Enterprise IAM (EIAM) and Customer IAM (CIAM) foundational areas, including Authentication (MFA, Passwordless), Authorization, Privileged Access Management (PAM), identity and access governance, identity federation, secrets management, role-based access etc. Job Requirements Impact on the Business/Function Define, maintain, and own the IAM architecture strategy and roadmap, incorporating ZeroTrust as appropriate, ensuring alignment to other HSBC technology strategies and providing Design Authority sponsorship for major IAM initiatives across the Group. Provide assurance of the solutions designs produced within Cybersecurity and support the Engineering teams in the production of execution plans in executing the Strategies. Introduce new practices, processes, operating model, techniques, products, services, technologies and standards where needed. Customers / Stakeholders Create a customer-centric culture, building sustainable customer strategies based on customer insight and regional markets. Build and maintain strategic stakeholder relationships at all levels: across Global Businesses and Technology and key strategic partnerships with third parties. Influential across both HSBC's business and technology executives to drive the realisation of our Technology strategy Leadership & Teamwork Enable the Cybersecurity Architecture organisation to achieve business outcomes by empowering developers with world-class technology and practices. Co-manage the Cybersecurity Architecture hiring strategy to ensure we are attracting diverse high-performing talent. Create an architecture culture that fosters experimentation and learning and on financial discipline Operational Effectiveness & Control Ensure adherence to, and manage effectively against HSBC's Operational Risk Management Framework, HSBC's Controls, Functional Instruction Manual (FIM) and external regulatory requirements. Ensures Architecture adheres to ethical behaviour / HSBC's values. Manage architecture and product reviews through the appropriate governance mechanisms ensuring peer review of all activities. Qualification and Skills Provide expert knowledge & expertise in design of the following key capabilities: Identity and Credential Management Authentication AuthZ / Access Control Accounting User, Behaviour and Biometrics Analytics Fraud Detection & Prevention Access Governance Secrets Management Privileged Access Management IAM Tooling, including Privilege Access Management Monitoring Significant expertise in: APIs; Cloud computing (GCP and AWS); Event Streaming (Kafka); AI / Machine Learning / GenAI; Platform Engineering; and DevSecOps. Experience of applying modern architecture: APIs, micro services, data foundation, advanced analytics / Machine Learning and directing Cloud provider capabilities. Hands-on expertise of multiple coding languages e.g., Java, Python, Rust; & software development frameworks. Extensive experience in senior Architecture / Cybersecurity leadership roles within large scale, complex and international organisations. Recognised expertise through Industry qualifications (such as CISSP, CISM, ISSAP, CCSP etc.). Contributions in the scientific community, speaking experience, or presence in the open-source community. Demonstrate knowledge of financial services, with a particular focus on the implications of IAM for HSBC's three global businesses and supporting functions. Experience in planning and managing significant expenditure in a complex organisation, with deep financial and commercial awareness. Knowledge of the external environment and drivers - regulatory, political, competitor and market. Strong strategic thinking and problem-solving abilities with a track record of driving innovative technical solutions and continuous improvement. Experience of managing people within a complex matrix environment, globally across cultures. Provide technical thought leadership in evaluation of new technologies Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk: Email: Telephone:
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt 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 clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will 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.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt 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 clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will 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.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Senior Consultant - Data & AI ArchitectureAt 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.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will 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.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Senior Consultant - Data & AI ArchitectureAt 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.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will 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.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
Jan 27, 2026
Full time
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - GPU/CPU-accelerated bioinformatics Architect, build, and own scalable production pipelines that process multi-omics data for AI model development, moving from hypothesis to patent-ready results in months, not years. Key Tasks Design and implement GPU/CPU-native bioinformatics pipelines using Flyte and/or Nextflow for multi-omics data processing at scale (1000+ samples) Optimising cost and performance, leveraging GPU/CPU acceleration where it matters Work with experimental and machine learning teams to confirm and refine computational findings, and to ensure processing aligns with model needs Cloud infrastructure Develop and manage specific external research collaborations with academic and industrial partners Expected Growth In 1 month you are deploying workflows on GPU/CPU-accelerated cloud infrastructure to process your own multi-omic experiments, while establishing relationships with AI/ML and wet lab teams to understand their requirements. In 3 months you directly own multiple optimised GPU/CPU-native pipelines processing in the order of 1,000s of samples with high speed improvements and significantly reduced costs, generating publication and patent-ready results. In 6 months your pipelines run in production as automatised as possible feeding AI model training daily, you're co-designing experiments with AI/ML engineers and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You're an engineer, not an analyst. You thrive pushing the boundaries of performance and efficiency and enjoy architecting the systems and making multiple fast technical decisions. You iterate and move fast. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal experience Knowledge of GPU/CPU computing backbone, whether directly through GPU/CPU-accelerated bioinformatics (e.g., NVIDIA Parabricks, Clara, Rapids, etc.) or through the ability to identify GPU vs. CPU optimisation in other contexts Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Strong working knowledge with cloud computing environments, including but not limited to AWS and GCP First hand deep experience with at least 2 3 large omics types (genomics, transcriptomics, chromatin accessibility, DNA methylation, histone modifications profiling, etc.) Experience with end to end tools used to process multi omic data from raw data all the way to analytical outputs. Good working knowledge of workflow managers (e.g., Flyte, Nextflow, Snakemake). Familiar with data wrangling, analysis, and visualisation libraries using Python (preferable), R or Julia. Strong data engineering knowledge, including but not limited to experience with Spark, Hadoop, NoSQL. Location Based in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our Values Exceptional performance at exceptional pace The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present. Inquisitive discovery We embrace curiosity and creativity. Every question is a path to a transformational breakthrough. Radical candour We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one's bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale We have a steadfast commitment to improve the health and well being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.
Jan 27, 2026
Full time
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - GPU/CPU-accelerated bioinformatics Architect, build, and own scalable production pipelines that process multi-omics data for AI model development, moving from hypothesis to patent-ready results in months, not years. Key Tasks Design and implement GPU/CPU-native bioinformatics pipelines using Flyte and/or Nextflow for multi-omics data processing at scale (1000+ samples) Optimising cost and performance, leveraging GPU/CPU acceleration where it matters Work with experimental and machine learning teams to confirm and refine computational findings, and to ensure processing aligns with model needs Cloud infrastructure Develop and manage specific external research collaborations with academic and industrial partners Expected Growth In 1 month you are deploying workflows on GPU/CPU-accelerated cloud infrastructure to process your own multi-omic experiments, while establishing relationships with AI/ML and wet lab teams to understand their requirements. In 3 months you directly own multiple optimised GPU/CPU-native pipelines processing in the order of 1,000s of samples with high speed improvements and significantly reduced costs, generating publication and patent-ready results. In 6 months your pipelines run in production as automatised as possible feeding AI model training daily, you're co-designing experiments with AI/ML engineers and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You're an engineer, not an analyst. You thrive pushing the boundaries of performance and efficiency and enjoy architecting the systems and making multiple fast technical decisions. You iterate and move fast. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal experience Knowledge of GPU/CPU computing backbone, whether directly through GPU/CPU-accelerated bioinformatics (e.g., NVIDIA Parabricks, Clara, Rapids, etc.) or through the ability to identify GPU vs. CPU optimisation in other contexts Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Strong working knowledge with cloud computing environments, including but not limited to AWS and GCP First hand deep experience with at least 2 3 large omics types (genomics, transcriptomics, chromatin accessibility, DNA methylation, histone modifications profiling, etc.) Experience with end to end tools used to process multi omic data from raw data all the way to analytical outputs. Good working knowledge of workflow managers (e.g., Flyte, Nextflow, Snakemake). Familiar with data wrangling, analysis, and visualisation libraries using Python (preferable), R or Julia. Strong data engineering knowledge, including but not limited to experience with Spark, Hadoop, NoSQL. Location Based in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our Values Exceptional performance at exceptional pace The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present. Inquisitive discovery We embrace curiosity and creativity. Every question is a path to a transformational breakthrough. Radical candour We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one's bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale We have a steadfast commitment to improve the health and well being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Managing Consultant/ Senior Manager- IT Merges & AcquisitionsAt 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.The Business Technology practice is one of the leading CIO & CTO advisory and technology innovation teams in the UK and Europe. Our consultants deliver tangible outcomes across business and IT-oriented environments, working collaboratively with major FTSE 100 and government clients to help them achieve their strategic goals and leverage technology as a key driver of sustainable growth and ambitious change. YOUR ROLE Our IT Performance (ITP) team is part of the growing Business Technology practice. We are structured across three core disciplines: (i) Technology Strategy; (ii) IT Cost & Value; and (iii) IT Mergers and Acquisitions.We are seeking an experienced and dedicated IT M&A Senior Manager to support the continued development and growth of our fast paced and forward-thinking team. The ideal candidate will have extensive expertise that includes IT due diligence, deal closure, and Day 2 transformation to ensure successful mergers, acquisitions, and divestitures. You will support transactions across all industry sectors and all aspects of the Technology Strategy, Cost & Value, Digital and Transformation agenda.The responsibilities of the Senior Manager role in IT M&A typically includes the following: Developing our IT M&A offer and building capability within the ITP team, supporting market unit teams to have M&A conversations and developing winning proposals for their clients. Driving complex technology assessments of IT infrastructure, enterprise applications, cybersecurity posture, cloud environments, and digital platforms to uncover risks, quantify technical debt, and identify integration or separation challenges that could materially affect deal value. Leading and delivering post-merger integration strategies including harmonising IT operating models, consolidating ERP and core systems, planning cloud migrations, and designing digital transformation roadmaps that accelerate synergy capture and enable scalable growth. Leading tech carve-out and separation planning incl. defining Transitional Service Agreements (TSAs), orchestrating data migration strategies, and ensuring compliance with regulatory and security requirements while maintaining business continuity during divestitures. Providing leadership on emerging technologies and digital capabilities: AI, advanced analytics, cybersecurity and cloud-native architectures - evaluating scalability, interoperability, and alignment with the client's investment thesis and long-term digital strategy. Advising clients on translating complex technical findings into actionable commercial insights, quantifying IT-related costs and risks, and supporting negotiation strategies to maximise deal value and minimise execution risk.As 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 We are looking for Senior Manager level candidates who can demonstrate the following: Evidence of leading delivery of IT M&A engagements, driving positive outcomes and developing opportunities to deliver follow-on work. Evidence of specialism in IT M&A including IT due diligence, integration and separation planning, and technology assessments for complex, high-value transactions. Evidence of deep technical and strategic expertise, including enterprise IT architecture, cloud platforms (AWS, Azure, GCP), cybersecurity frameworks, ERP systems (SAP, Oracle), and emerging technologies - combined with the ability to translate technical complexity into actionable commercial insights for clients. Evidence of managing teams, including multiple workstreams in complex delivery environments and the ability to build and maintain trusted relationships with senior client stakeholders. Demonstrated ability to quantify and optimise technology-related deal value, including cost modelling, synergy identification, risk mitigation, and aligning technology strategies with business priorities to maximise transaction success. Desirable Experience Currently working in a major consulting firm, and/or in industry with a consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Business development - utilising a combination of the organisation's broader pre-existing relationships, company relationships and your own network, you'll be generating c.£1m of consulting revenues.You'llbe free to make your role and your career what you want it to be. Proactivity and ambition flourish at Capgemini Invent. There are countless opportunities available to propel your development forward: seek out thosethat suit you, and we will back you all the way. In summary, we believe the following make thisa great placeto work:- Build momentum in your career: Make your role and your career what you want it to be.- Stay true to who you are: Play to your strengths and bring your individuality.- Aim for nothing less than leading edge: We thrive on the knowledge that the Digital work we do has impact.Capgemini is proud to be aunder the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Please opt in during the application process. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.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. Declare they have a disability, and Meet the minimum essential criteria for the role.Experience levelExperienced ProfessionalsLocationManchester, Glasgow, London
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Managing Consultant/ Senior Manager- IT Merges & AcquisitionsAt 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.The Business Technology practice is one of the leading CIO & CTO advisory and technology innovation teams in the UK and Europe. Our consultants deliver tangible outcomes across business and IT-oriented environments, working collaboratively with major FTSE 100 and government clients to help them achieve their strategic goals and leverage technology as a key driver of sustainable growth and ambitious change. YOUR ROLE Our IT Performance (ITP) team is part of the growing Business Technology practice. We are structured across three core disciplines: (i) Technology Strategy; (ii) IT Cost & Value; and (iii) IT Mergers and Acquisitions.We are seeking an experienced and dedicated IT M&A Senior Manager to support the continued development and growth of our fast paced and forward-thinking team. The ideal candidate will have extensive expertise that includes IT due diligence, deal closure, and Day 2 transformation to ensure successful mergers, acquisitions, and divestitures. You will support transactions across all industry sectors and all aspects of the Technology Strategy, Cost & Value, Digital and Transformation agenda.The responsibilities of the Senior Manager role in IT M&A typically includes the following: Developing our IT M&A offer and building capability within the ITP team, supporting market unit teams to have M&A conversations and developing winning proposals for their clients. Driving complex technology assessments of IT infrastructure, enterprise applications, cybersecurity posture, cloud environments, and digital platforms to uncover risks, quantify technical debt, and identify integration or separation challenges that could materially affect deal value. Leading and delivering post-merger integration strategies including harmonising IT operating models, consolidating ERP and core systems, planning cloud migrations, and designing digital transformation roadmaps that accelerate synergy capture and enable scalable growth. Leading tech carve-out and separation planning incl. defining Transitional Service Agreements (TSAs), orchestrating data migration strategies, and ensuring compliance with regulatory and security requirements while maintaining business continuity during divestitures. Providing leadership on emerging technologies and digital capabilities: AI, advanced analytics, cybersecurity and cloud-native architectures - evaluating scalability, interoperability, and alignment with the client's investment thesis and long-term digital strategy. Advising clients on translating complex technical findings into actionable commercial insights, quantifying IT-related costs and risks, and supporting negotiation strategies to maximise deal value and minimise execution risk.As 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 We are looking for Senior Manager level candidates who can demonstrate the following: Evidence of leading delivery of IT M&A engagements, driving positive outcomes and developing opportunities to deliver follow-on work. Evidence of specialism in IT M&A including IT due diligence, integration and separation planning, and technology assessments for complex, high-value transactions. Evidence of deep technical and strategic expertise, including enterprise IT architecture, cloud platforms (AWS, Azure, GCP), cybersecurity frameworks, ERP systems (SAP, Oracle), and emerging technologies - combined with the ability to translate technical complexity into actionable commercial insights for clients. Evidence of managing teams, including multiple workstreams in complex delivery environments and the ability to build and maintain trusted relationships with senior client stakeholders. Demonstrated ability to quantify and optimise technology-related deal value, including cost modelling, synergy identification, risk mitigation, and aligning technology strategies with business priorities to maximise transaction success. Desirable Experience Currently working in a major consulting firm, and/or in industry with a consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Business development - utilising a combination of the organisation's broader pre-existing relationships, company relationships and your own network, you'll be generating c.£1m of consulting revenues.You'llbe free to make your role and your career what you want it to be. Proactivity and ambition flourish at Capgemini Invent. There are countless opportunities available to propel your development forward: seek out thosethat suit you, and we will back you all the way. In summary, we believe the following make thisa great placeto work:- Build momentum in your career: Make your role and your career what you want it to be.- Stay true to who you are: Play to your strengths and bring your individuality.- Aim for nothing less than leading edge: We thrive on the knowledge that the Digital work we do has impact.Capgemini is proud to be aunder the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Please opt in during the application process. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.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. Declare they have a disability, and Meet the minimum essential criteria for the role.Experience levelExperienced ProfessionalsLocationManchester, Glasgow, London
The Association of Technology, Management and Applied Engineering
Hackney, London
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details
Jan 27, 2026
Full time
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Jan 26, 2026
Full time
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Jan 26, 2026
Full time
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Jan 26, 2026
Full time
This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Solution Architect - Cloud Serverless Distributed Systems AWS/Azure/GCP Location: Knutsford or Northampton (Hybrid) Join a leading tech-driven organisation as a Solution Architect , shaping and delivering modern, scalable systems that drive innovation and business transformation. What you'll do: Design and implement secure, resilient cloud and distributed solutions click apply for full job details
Jan 26, 2026
Full time
Solution Architect - Cloud Serverless Distributed Systems AWS/Azure/GCP Location: Knutsford or Northampton (Hybrid) Join a leading tech-driven organisation as a Solution Architect , shaping and delivering modern, scalable systems that drive innovation and business transformation. What you'll do: Design and implement secure, resilient cloud and distributed solutions click apply for full job details
Description We are seeking a highly skilled and motivated Lead Java Development Consultant to join our innovative development team. You will be instrumental in designing, developing, and maintaining high performance, scalable applications and services. This role requires deep expertise in modern Java ecosystems, microservice architectures, and distributed systems design patterns. Requirements Core Development Professional software development experience, primarily in Java/JEE. Proficiency with the Spring Framework, including Spring Boot, Spring Cloud, Spring Security, and Spring Data. Experience in designing and building Microservices and highly distributed systems. Kafka & Scaling: Experience with message brokers, guaranteeing message order, and implementing idempotency. Saga Pattern: Practical application of distributed transactions for eventual consistency across microservices. CQRS: Understanding of Command Query Responsibility Segregation and managing eventual consistency. Orchestration vs Choreography: Ability to choose and implement appropriate service coordination strategies. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong experience designing, documenting, and implementing APIs (RESTful services). DevOps & Cloud Hands-on experience with Cloud Computing platforms (AWS, Azure, or GCP). Proficiency with CI/CD tools, specifically Jenkins, for automation of build, test, and deployment processes. Familiarity with containerization technologies (Docker, Kubernetes). Experience with other SDLC tools (e.g., Git, Jira, Confluence). Job responsibilities Lead the design, development, and deployment of mission-critical applications using Java, Spring Boot, and JEE technologies. Implement and manage microservices, ensuring high availability, performance, and scalability. Design and build robust, secure, and well-documented APIs (REST/gRPC). Collaborate with cross-functional teams (Product, DevOps, QA) to define, design, and ship new features. Drive the continuous integration and continuous deployment (CI/CD) pipeline using tools like Jenkins. Architect and implement solutions on cloud platforms (AWS, Azure, or GCP). Mentor junior engineers and promote best practices in coding, testing, and system design. Participate in code reviews to ensure code quality, maintainability, and adherence to established standards. Troubleshoot and resolve complex production issues across various system components. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Jan 26, 2026
Full time
Description We are seeking a highly skilled and motivated Lead Java Development Consultant to join our innovative development team. You will be instrumental in designing, developing, and maintaining high performance, scalable applications and services. This role requires deep expertise in modern Java ecosystems, microservice architectures, and distributed systems design patterns. Requirements Core Development Professional software development experience, primarily in Java/JEE. Proficiency with the Spring Framework, including Spring Boot, Spring Cloud, Spring Security, and Spring Data. Experience in designing and building Microservices and highly distributed systems. Kafka & Scaling: Experience with message brokers, guaranteeing message order, and implementing idempotency. Saga Pattern: Practical application of distributed transactions for eventual consistency across microservices. CQRS: Understanding of Command Query Responsibility Segregation and managing eventual consistency. Orchestration vs Choreography: Ability to choose and implement appropriate service coordination strategies. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong experience designing, documenting, and implementing APIs (RESTful services). DevOps & Cloud Hands-on experience with Cloud Computing platforms (AWS, Azure, or GCP). Proficiency with CI/CD tools, specifically Jenkins, for automation of build, test, and deployment processes. Familiarity with containerization technologies (Docker, Kubernetes). Experience with other SDLC tools (e.g., Git, Jira, Confluence). Job responsibilities Lead the design, development, and deployment of mission-critical applications using Java, Spring Boot, and JEE technologies. Implement and manage microservices, ensuring high availability, performance, and scalability. Design and build robust, secure, and well-documented APIs (REST/gRPC). Collaborate with cross-functional teams (Product, DevOps, QA) to define, design, and ship new features. Drive the continuous integration and continuous deployment (CI/CD) pipeline using tools like Jenkins. Architect and implement solutions on cloud platforms (AWS, Azure, or GCP). Mentor junior engineers and promote best practices in coding, testing, and system design. Participate in code reviews to ensure code quality, maintainability, and adherence to established standards. Troubleshoot and resolve complex production issues across various system components. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Jan 26, 2026
Full time
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Senior Security Consultant - Cyber Business Resilience and Recovery Division: Consulting & Implementation (C&I) Location: UK (with travel as needed) Please note: Applications will close on Sunday, 4 January . Our review process will commence on Friday, 2 January . We appreciate your interest and look forward to connecting with you soon. Wishing you an enjoyable festive season.Group, you'll be part of a team that bridges the gap between cyber operations and business continuity - ensuring our clients can respond confidently when disruption strikes. You'll work across incident response readiness, cyber recovery planning, crisis management exercises, and resilience assessments that protect real-world business outcomes. It's meaningful, high-impact work that blends strategy, governance, and hands-on resilience engineering. What you'll do Build cyber resilience strategies: Design and deliver tailored cyber resilience and recovery frameworks that integrate business continuity, IT disaster recovery, and incident response. Assess and improve readiness: Conduct cyber resilience maturity assessments and tabletop exercises; identify and prioritise gaps in recovery capabilities. Design recovery playbooks: Create actionable recovery and communication plans aligned with NIST, ISO 22301, and industry best practice. Test and validate: Lead scenario-based simulations and recovery testing to validate processes, people, and technology readiness. Integrate with security operations: Collaborate with SOC and IR teams to align resilience and recovery capabilities with detection, containment, and response functions. Engage stakeholders: Translate technical findings into clear, business-relevant recommendations; present outcomes to executives and boards. Advise on resilience architecture: Support the design of resilient infrastructure, backup strategies, and cloud recovery configurations. Mentor and contribute: Coach junior consultants and share lessons learned through internal knowledge sessions and reusable playbook templates. What you'll bring Strong experience in cyber resilience , business continuity , and disaster recovery consulting, ideally within complex enterprise environments. Practical understanding of incident response , crisis management , and cyber recovery operations . Familiarity with frameworks and standards such as ISO 22301 , NIST CSF , NIST SP 800-34 , and BS 65000 . Proven ability to engage at all levels - from technical recovery teams to C-suite executives. Experience running or facilitating tabletop exercises , war-gaming sessions , or simulation testing . Knowledge of resilience tooling (e.g., backup orchestration, DR automation, configuration baselining). Strong written and verbal communication - able to produce concise reports and deliver persuasive presentations. Nice-to-haves (not show-stoppers) Exposure to cloud resilience (Azure/AWS/GCP) and hybrid recovery architectures. Experience with risk management frameworks (ISO 27005, FAIR). Understanding of supply chain resilience and third-party risk. Certifications such as CBCI , ISO 22301 Lead Implementer/Auditor , CISSP , CISM , or CRISC . At NCC Group, your mission is to help create a more secure digital future. You'll work on high-impact projects, cutting-edge research, and real-world security challenges. We partner with some of the world's most innovative companies and we want you to be part of that journey. You'll join a global team of specialists who thrive on solving complex problems. We invest in your development and well-being, and we've built an environment where you can grow, professionally, personally, and technically. We balance high performance with world-class well-being benefits, including: Flexible working Pension, life assurance, share save scheme Generous parental leave Community & volunteering programmes Green car scheme Cycle to work scheme Wellness programmes Learning & development opportunities Employee referral bonuses If this sounds like the right fit, we'd love to hear from you. Click apply to submit your CV and cover letter. Or email us at . Your Application: We review every application. If your profile matches, we'll be in touch. If not, don't be discouraged, we may keep your details for future roles. If you prefer we don't, just email us to opt out. Note: This role requires pre-employment background checks (BS7858 screening) due to the nature of the work.
Jan 26, 2026
Full time
Senior Security Consultant - Cyber Business Resilience and Recovery Division: Consulting & Implementation (C&I) Location: UK (with travel as needed) Please note: Applications will close on Sunday, 4 January . Our review process will commence on Friday, 2 January . We appreciate your interest and look forward to connecting with you soon. Wishing you an enjoyable festive season.Group, you'll be part of a team that bridges the gap between cyber operations and business continuity - ensuring our clients can respond confidently when disruption strikes. You'll work across incident response readiness, cyber recovery planning, crisis management exercises, and resilience assessments that protect real-world business outcomes. It's meaningful, high-impact work that blends strategy, governance, and hands-on resilience engineering. What you'll do Build cyber resilience strategies: Design and deliver tailored cyber resilience and recovery frameworks that integrate business continuity, IT disaster recovery, and incident response. Assess and improve readiness: Conduct cyber resilience maturity assessments and tabletop exercises; identify and prioritise gaps in recovery capabilities. Design recovery playbooks: Create actionable recovery and communication plans aligned with NIST, ISO 22301, and industry best practice. Test and validate: Lead scenario-based simulations and recovery testing to validate processes, people, and technology readiness. Integrate with security operations: Collaborate with SOC and IR teams to align resilience and recovery capabilities with detection, containment, and response functions. Engage stakeholders: Translate technical findings into clear, business-relevant recommendations; present outcomes to executives and boards. Advise on resilience architecture: Support the design of resilient infrastructure, backup strategies, and cloud recovery configurations. Mentor and contribute: Coach junior consultants and share lessons learned through internal knowledge sessions and reusable playbook templates. What you'll bring Strong experience in cyber resilience , business continuity , and disaster recovery consulting, ideally within complex enterprise environments. Practical understanding of incident response , crisis management , and cyber recovery operations . Familiarity with frameworks and standards such as ISO 22301 , NIST CSF , NIST SP 800-34 , and BS 65000 . Proven ability to engage at all levels - from technical recovery teams to C-suite executives. Experience running or facilitating tabletop exercises , war-gaming sessions , or simulation testing . Knowledge of resilience tooling (e.g., backup orchestration, DR automation, configuration baselining). Strong written and verbal communication - able to produce concise reports and deliver persuasive presentations. Nice-to-haves (not show-stoppers) Exposure to cloud resilience (Azure/AWS/GCP) and hybrid recovery architectures. Experience with risk management frameworks (ISO 27005, FAIR). Understanding of supply chain resilience and third-party risk. Certifications such as CBCI , ISO 22301 Lead Implementer/Auditor , CISSP , CISM , or CRISC . At NCC Group, your mission is to help create a more secure digital future. You'll work on high-impact projects, cutting-edge research, and real-world security challenges. We partner with some of the world's most innovative companies and we want you to be part of that journey. You'll join a global team of specialists who thrive on solving complex problems. We invest in your development and well-being, and we've built an environment where you can grow, professionally, personally, and technically. We balance high performance with world-class well-being benefits, including: Flexible working Pension, life assurance, share save scheme Generous parental leave Community & volunteering programmes Green car scheme Cycle to work scheme Wellness programmes Learning & development opportunities Employee referral bonuses If this sounds like the right fit, we'd love to hear from you. Click apply to submit your CV and cover letter. Or email us at . Your Application: We review every application. If your profile matches, we'll be in touch. If not, don't be discouraged, we may keep your details for future roles. If you prefer we don't, just email us to opt out. Note: This role requires pre-employment background checks (BS7858 screening) due to the nature of the work.
Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you'll do: Set vision and strategy Own and continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue, pivot, or stop. Lead PoCs and MVPs Run time-boxed PoCs (2-8 weeks) and MVPs (8-16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging. Embed Responsible AI practices from the start, including bias assessment, explainability, accessibility, documentation, and impact assessments tailored to higher education. Scale platforms and solutions Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails. Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans. Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum. Prepare teams and students for AI adoption with training, standard operating procedures, ethical use guidelines, and tailored communications. Manage vendors and financials Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability. Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak. Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production. Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions. Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design. Change leadership: confident working across diverse academic and professional services communities to drive adoption. Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus). Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI). Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD). Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end. Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts. Excellent stakeholder communication skills with the ability to translate technical topics into clear outcomes for non-technical audiences. Experience designing or operating an AI platform or shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.
Jan 26, 2026
Full time
Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you'll do: Set vision and strategy Own and continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue, pivot, or stop. Lead PoCs and MVPs Run time-boxed PoCs (2-8 weeks) and MVPs (8-16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging. Embed Responsible AI practices from the start, including bias assessment, explainability, accessibility, documentation, and impact assessments tailored to higher education. Scale platforms and solutions Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails. Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans. Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum. Prepare teams and students for AI adoption with training, standard operating procedures, ethical use guidelines, and tailored communications. Manage vendors and financials Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability. Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak. Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production. Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions. Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design. Change leadership: confident working across diverse academic and professional services communities to drive adoption. Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus). Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI). Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD). Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end. Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts. Excellent stakeholder communication skills with the ability to translate technical topics into clear outcomes for non-technical audiences. Experience designing or operating an AI platform or shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.
What are we looking for? We are seeking a Broadcast Engineer focussed on testing to be the interface between the Software Development team and the Broadcast Systems Engineering team to ensure the highest standards of product functionality. The role is hybrid with a need to be in Bracknell 2-3 days a week. Occasional travel to UK client sites for support and fault replication may be required. The role This role is the 'hub' within multi-disciplinary Techex teams (Development, Support and Technical) to ensure the highest standards of product quality and ensure technical issues are resolved swiftly. You will a ct as a gateway, testing all functionality released from software development from the perspective of a user engineer. You will be the expert interfacing with our broadcast engineering teams to support the identification and recreation of all bugs, provide workarounds and feed into roadmap DM5 bug fixes and report test results, including defects and issues within a release. You will also be accountable for creating and maintaining internally and externally facing documentation to record: The testing regimen and history of individual module releases. Performance features (including limitations) External release notes for all software releases made either on a beta or GA basis User guides - internally You will have accountability for managing the gate process, controlling when software can be released from the development team, and be satisfied any releases have been suitably tested. What you will need Bachelor's degree in broadcast systems or Broadcast engineering, or a related field. Demonstrable experience of working with software first real-time broadcasting system. Demonstrable experience of Scripting & Automation e.g. Ansible, Terraform, Python Experience of deploying and managing cloud infrastructure in AWS, GCP, Azure, Oracle Experience of using network analysis/packet capture tools such as Wireshark Understanding of real time transport and encapsulation protocols such as RTP, UDP, SRT, RIST, ZIXI, and MPEG-TS Knowledge of audio/video and media standards (e.g. AVC, HEVC, JPEG-XS, ST 2022, ST 2110) Ability to use test equipment/software to analyse MPEG streams Experience of public cloud platform architecture/design Experience with either Influx, Redis, Kafka, Grafana, Kibana Our Values and Benefits Techex has an impressive history with extremely high customer engagement and satisfaction. As a business we have developed consistently through our stellar reputation in the industry. We have recently secured the Great Place to Work accreditation for the second year running, and we seek out individuals who enjoy developing their professional skills and are always learning new things whilst supporting and sharing their learnings with others. We look for candidates who are aligned to our values and who can amplify these more broadly as our business grows. Techex is in a period of accelerated growth, so we seek out talented professionals who are keen to scale up with Techex as we grow fast, whilst maintaining our focus of delivering world class support for our customers. We have a flexible working policy, and you are empowered to work in a way that sets you up to be successful and deliver the necessary impact on your role. This will be an onsite role at our UK Headquarters in Bracknell with some flexibility to work from home when necessary. At Techex we are committed to fostering a diverse, inclusive, and equitable workplace where everyone feels respected, supported, and empowered to succeed. We believe that diversity of thought, background, and experience strengthens our team and drives innovation. We do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. All employment decisions are made based on merit, qualifications, and business needs. If you require any adjustments to support you during the application or interview process, please let us know. We will work with you to make reasonable accommodations that meet your needs and ensure you have a positive experience.
Jan 26, 2026
Full time
What are we looking for? We are seeking a Broadcast Engineer focussed on testing to be the interface between the Software Development team and the Broadcast Systems Engineering team to ensure the highest standards of product functionality. The role is hybrid with a need to be in Bracknell 2-3 days a week. Occasional travel to UK client sites for support and fault replication may be required. The role This role is the 'hub' within multi-disciplinary Techex teams (Development, Support and Technical) to ensure the highest standards of product quality and ensure technical issues are resolved swiftly. You will a ct as a gateway, testing all functionality released from software development from the perspective of a user engineer. You will be the expert interfacing with our broadcast engineering teams to support the identification and recreation of all bugs, provide workarounds and feed into roadmap DM5 bug fixes and report test results, including defects and issues within a release. You will also be accountable for creating and maintaining internally and externally facing documentation to record: The testing regimen and history of individual module releases. Performance features (including limitations) External release notes for all software releases made either on a beta or GA basis User guides - internally You will have accountability for managing the gate process, controlling when software can be released from the development team, and be satisfied any releases have been suitably tested. What you will need Bachelor's degree in broadcast systems or Broadcast engineering, or a related field. Demonstrable experience of working with software first real-time broadcasting system. Demonstrable experience of Scripting & Automation e.g. Ansible, Terraform, Python Experience of deploying and managing cloud infrastructure in AWS, GCP, Azure, Oracle Experience of using network analysis/packet capture tools such as Wireshark Understanding of real time transport and encapsulation protocols such as RTP, UDP, SRT, RIST, ZIXI, and MPEG-TS Knowledge of audio/video and media standards (e.g. AVC, HEVC, JPEG-XS, ST 2022, ST 2110) Ability to use test equipment/software to analyse MPEG streams Experience of public cloud platform architecture/design Experience with either Influx, Redis, Kafka, Grafana, Kibana Our Values and Benefits Techex has an impressive history with extremely high customer engagement and satisfaction. As a business we have developed consistently through our stellar reputation in the industry. We have recently secured the Great Place to Work accreditation for the second year running, and we seek out individuals who enjoy developing their professional skills and are always learning new things whilst supporting and sharing their learnings with others. We look for candidates who are aligned to our values and who can amplify these more broadly as our business grows. Techex is in a period of accelerated growth, so we seek out talented professionals who are keen to scale up with Techex as we grow fast, whilst maintaining our focus of delivering world class support for our customers. We have a flexible working policy, and you are empowered to work in a way that sets you up to be successful and deliver the necessary impact on your role. This will be an onsite role at our UK Headquarters in Bracknell with some flexibility to work from home when necessary. At Techex we are committed to fostering a diverse, inclusive, and equitable workplace where everyone feels respected, supported, and empowered to succeed. We believe that diversity of thought, background, and experience strengthens our team and drives innovation. We do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. All employment decisions are made based on merit, qualifications, and business needs. If you require any adjustments to support you during the application or interview process, please let us know. We will work with you to make reasonable accommodations that meet your needs and ensure you have a positive experience.
About the Role: Grade Level (for internal use): 14 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is oriented around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, report and track its adoption. Support governance activities by maintaining accurate, up to date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. Assets, Data and Tooling Team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits . click apply for full job details
Jan 26, 2026
Full time
About the Role: Grade Level (for internal use): 14 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is oriented around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, report and track its adoption. Support governance activities by maintaining accurate, up to date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. Assets, Data and Tooling Team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits . click apply for full job details
About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United Kingdom Overview We're building the future of cloud development with Codespaces: instant-on, container-based cloud environments tailored to specific projects, enabling developers to focus on writing code rather than managing setups. As a Software Engineer III on the Codespaces team, you'll design and implement a secure, reliable, and efficient platform that powers Codespaces, Actions and other GitHub tools. Your work will directly impact developers worldwide, ensuring these tools are always available, performant, cost-effective, and delightful to use. At GitHub, you'll collaborate with a distributed, diverse, and passionate team of engineers and designers, delivering services that millions of developers depend on daily. In this role, you'll design, prototype, implement, ship, and support highly performant, inspiring experiences that enhance collaboration and productivity for developers everywhere. We're looking for creative problem solvers and diverse thinkers who value culture as much as customers and features. We believe how we work is just as important as what we deliver. Big vision, shared purpose, passion for quality, curiosity, dedication, and investment in fun and collaboration are what drive great results. Great products reflect the teams that build them-come join us! Responsibilities Design, develop and ship high-quality technical solutions that scale across multiple GitHub services. Collaborate with cross-functional teams to define and implement innovative solutions. Provide technical leadership, mentorship, pairing opportunities, and code reviews to encourage the growth of others. Write architecture briefs and proposals, carry out code experiments, and build prototypes to learn how we can achieve planetary scale with our systems. Design and implement APIs to facilitate seamless integration between software components. Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery. Become intimately familiar with the systems you build and take pride in writing maintainable code. Own and advocate for the health and quality of the systems that the team builds, including participating in on-call rotations and responding to incidents as necessary. Qualifications Required Qualifications: 4+ years of experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Experience in cloud-native development, including designing, building, and deploying scalable applications using microservices architecture, containers (e.g., Docker), and orchestration tools like Kubernetes. Proficiency in leveraging cloud platforms (e.g., AWS, Azure, or GCP) for optimizing application performance and scalability. Experience with on-call rotations, incident response and site reliability, including diagnosing and resolving complex production issues under pressure. Experience automating operational work for hosted services Preferred Qualifications: Proficiency in modern programming languages such as C#, TypeScript, Go, and Rust. Excellent written and verbal communication via async collaboration, documentation, and visibility of work. Experience working with a remote, distributed team. Passionate about fostering effective Engineering practices and processes. Proficiency in Git and GitHub for version control and collaborative development and branching strategies. Experience with CI/CD Tools: Strong knowledge of CI/CD concepts and best practices. Experience with GitHub actions and workflows platform, familiar with other tools like Jenkins Experience implementing and maintaining compliance and security practices in software development, including secure coding, vulnerability management, data privacy, and regulatory standards Proficiency in designing systems with robust security measures and ensuring adherence to organizational and industry compliance requirements. Contribute to open source software, engage with maintainers, and actively participate in community curation. GitHub values Customer-obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Who We Are GitHub is the world's leading AI-powered developer platform with 150 million developers and counting. We're also home to the biggest open-source community on earth (and 99% of the world's software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms. Join us, and let's change the world, together. Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Jan 26, 2026
Full time
About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United Kingdom Overview We're building the future of cloud development with Codespaces: instant-on, container-based cloud environments tailored to specific projects, enabling developers to focus on writing code rather than managing setups. As a Software Engineer III on the Codespaces team, you'll design and implement a secure, reliable, and efficient platform that powers Codespaces, Actions and other GitHub tools. Your work will directly impact developers worldwide, ensuring these tools are always available, performant, cost-effective, and delightful to use. At GitHub, you'll collaborate with a distributed, diverse, and passionate team of engineers and designers, delivering services that millions of developers depend on daily. In this role, you'll design, prototype, implement, ship, and support highly performant, inspiring experiences that enhance collaboration and productivity for developers everywhere. We're looking for creative problem solvers and diverse thinkers who value culture as much as customers and features. We believe how we work is just as important as what we deliver. Big vision, shared purpose, passion for quality, curiosity, dedication, and investment in fun and collaboration are what drive great results. Great products reflect the teams that build them-come join us! Responsibilities Design, develop and ship high-quality technical solutions that scale across multiple GitHub services. Collaborate with cross-functional teams to define and implement innovative solutions. Provide technical leadership, mentorship, pairing opportunities, and code reviews to encourage the growth of others. Write architecture briefs and proposals, carry out code experiments, and build prototypes to learn how we can achieve planetary scale with our systems. Design and implement APIs to facilitate seamless integration between software components. Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery. Become intimately familiar with the systems you build and take pride in writing maintainable code. Own and advocate for the health and quality of the systems that the team builds, including participating in on-call rotations and responding to incidents as necessary. Qualifications Required Qualifications: 4+ years of experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Experience in cloud-native development, including designing, building, and deploying scalable applications using microservices architecture, containers (e.g., Docker), and orchestration tools like Kubernetes. Proficiency in leveraging cloud platforms (e.g., AWS, Azure, or GCP) for optimizing application performance and scalability. Experience with on-call rotations, incident response and site reliability, including diagnosing and resolving complex production issues under pressure. Experience automating operational work for hosted services Preferred Qualifications: Proficiency in modern programming languages such as C#, TypeScript, Go, and Rust. Excellent written and verbal communication via async collaboration, documentation, and visibility of work. Experience working with a remote, distributed team. Passionate about fostering effective Engineering practices and processes. Proficiency in Git and GitHub for version control and collaborative development and branching strategies. Experience with CI/CD Tools: Strong knowledge of CI/CD concepts and best practices. Experience with GitHub actions and workflows platform, familiar with other tools like Jenkins Experience implementing and maintaining compliance and security practices in software development, including secure coding, vulnerability management, data privacy, and regulatory standards Proficiency in designing systems with robust security measures and ensuring adherence to organizational and industry compliance requirements. Contribute to open source software, engage with maintainers, and actively participate in community curation. GitHub values Customer-obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Who We Are GitHub is the world's leading AI-powered developer platform with 150 million developers and counting. We're also home to the biggest open-source community on earth (and 99% of the world's software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms. Join us, and let's change the world, together. Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
