12+ years of experience in Data Engineering, Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP). Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and transformations. Strong expertise in ETL/ELT architecture, data pipeline development, data modelling, and data warehousing solutions. Proven experience delivering end-to-end enterprise data products, from architecture and design through implementation, deployment, and production support. Deep understanding of enterprise Data Architecture, including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks. Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance. Experience leveraging AI-enabled and GenAI-driven approaches for data engineering, development acceleration, automation, and intelligent analytics. Strong capability in data testing, validation, reconciliation, quality assurance, and production readiness assessments. Expertise in DevOps, CI/CD, Infrastructure as Code (Terraform), deployment automation, production go-live, and operational support. Experience leading cloud modernization, migration, and large-scale digital transformation initiatives. Demonstrated ability to provide senior technical leadership, mentor engineers, and lead multidisciplinary feature teams comprising architects, engineers, analysts, and product stakeholders. Excellent stakeholder management, communication, and consulting skills with the ability to translate business requirements into scalable cloud solutions. Ideal Candidate Profile: A senior cloud and data architecture leader who combines expert GCP technical capability, enterprise data architecture expertise, MDM knowledge, AI-driven innovation, and strong leadership skills to deliver enterprise-scale data transformation programs.
Sep 26, 2026
Full time
12+ years of experience in Data Engineering, Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP). Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and transformations. Strong expertise in ETL/ELT architecture, data pipeline development, data modelling, and data warehousing solutions. Proven experience delivering end-to-end enterprise data products, from architecture and design through implementation, deployment, and production support. Deep understanding of enterprise Data Architecture, including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks. Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance. Experience leveraging AI-enabled and GenAI-driven approaches for data engineering, development acceleration, automation, and intelligent analytics. Strong capability in data testing, validation, reconciliation, quality assurance, and production readiness assessments. Expertise in DevOps, CI/CD, Infrastructure as Code (Terraform), deployment automation, production go-live, and operational support. Experience leading cloud modernization, migration, and large-scale digital transformation initiatives. Demonstrated ability to provide senior technical leadership, mentor engineers, and lead multidisciplinary feature teams comprising architects, engineers, analysts, and product stakeholders. Excellent stakeholder management, communication, and consulting skills with the ability to translate business requirements into scalable cloud solutions. Ideal Candidate Profile: A senior cloud and data architecture leader who combines expert GCP technical capability, enterprise data architecture expertise, MDM knowledge, AI-driven innovation, and strong leadership skills to deliver enterprise-scale data transformation programs.
About Evinova Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. Role Overview Evinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova's modules so that the platform works as one. As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova. This is an individual contributor role: you will not have direct reports, but you will lead and inspire a matrixed, cross-functional team engineering, design, data science, and commercial through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova's modules so workflows flow seamlessly for clinical development and clinical operations teams. This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization. WHAT YOU'LL DO Build an AI-Native Product from Zero to One Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale. Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows pinpointing where the product can deliver step-function impact rather than incremental gains. Drive rapid hypothesis validation through prototyping and experimentation. Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback. Lead AI-Native Product Development Architect the product with AI and machine learning at its core for example: intelligent automation, contextual recommendations, predictive insights, and generative AI powered workflows that reduce effort for end users. Collaborate closely with data science and engineering teams to translate cutting-edge AI capabilities into practical, regulation-aware product features. Design for the end user first building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova's modules. Meet users where they are and guide them through their change management journey earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it. Maintain a sharp point of view on the evolving clinical trial and AI landscape proactively identifying opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams. Drive Strategic Leadership Across Evinova Partner with a matrixed product organization to drive connectivity across Evinova's modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product-market fit. Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision. Communicate product strategy, progress, and trade-offs to Evinova's executive leadership and key enterprise customers. Define and own success metrics adoption, engagement, revenue contribution, clinical trial cycle-time reduction and drive data-informed prioritization. Operate with Entrepreneurial Ownership Treat your product area as your own business own the P&L mindset, make resource trade-offs, and drive measurable commercial outcomes. Navigate the tension between speed-to-market and regulatory compliance (GxP, 21 CFR Part 11, GDPR, HIPAA). Cultivate strategic partnerships with data providers and standards bodies (CDISC, HL7 FHIR) to accelerate Evinova's product capabilities. Champion a culture of experimentation, intellectual honesty, and continuous learning within your product area and across the broader Evinova team. WHAT YOU BRING Required Experience 8 years of product management experience, with at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end. Domain experience in clinical trials or life sciences. You bring a deep understanding of the clinical development and clinical operations personas, know the clinical ecosystem (EDC, CDMS, CTMS, eTMF), and can engage credibly with clinical operations leaders, medical directors, biostatisticians, data managers, and regulatory professionals. Demonstrated entrepreneurial track record: you have taken at least one product from zero to one as a founder, early-stage PM, or intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled. Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role. Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions. Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions. AI Fluency Expectations You use AI tools daily in your own workflow for research, analysis, writing, prototyping, and decision-making and can articulate how AI is transforming product development practices. You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape foundation models, agentic AI, retrieval-augmented generation, fine-tuning and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred Qualifications Experience as a founder or co-founder of a technology company, or as the first product hire at an early-stage start-up. Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Date Posted 26-ago-2026 Closing Date 09-sept-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Sep 25, 2026
Full time
About Evinova Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. Role Overview Evinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova's modules so that the platform works as one. As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova. This is an individual contributor role: you will not have direct reports, but you will lead and inspire a matrixed, cross-functional team engineering, design, data science, and commercial through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova's modules so workflows flow seamlessly for clinical development and clinical operations teams. This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization. WHAT YOU'LL DO Build an AI-Native Product from Zero to One Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale. Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows pinpointing where the product can deliver step-function impact rather than incremental gains. Drive rapid hypothesis validation through prototyping and experimentation. Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback. Lead AI-Native Product Development Architect the product with AI and machine learning at its core for example: intelligent automation, contextual recommendations, predictive insights, and generative AI powered workflows that reduce effort for end users. Collaborate closely with data science and engineering teams to translate cutting-edge AI capabilities into practical, regulation-aware product features. Design for the end user first building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova's modules. Meet users where they are and guide them through their change management journey earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it. Maintain a sharp point of view on the evolving clinical trial and AI landscape proactively identifying opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams. Drive Strategic Leadership Across Evinova Partner with a matrixed product organization to drive connectivity across Evinova's modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product-market fit. Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision. Communicate product strategy, progress, and trade-offs to Evinova's executive leadership and key enterprise customers. Define and own success metrics adoption, engagement, revenue contribution, clinical trial cycle-time reduction and drive data-informed prioritization. Operate with Entrepreneurial Ownership Treat your product area as your own business own the P&L mindset, make resource trade-offs, and drive measurable commercial outcomes. Navigate the tension between speed-to-market and regulatory compliance (GxP, 21 CFR Part 11, GDPR, HIPAA). Cultivate strategic partnerships with data providers and standards bodies (CDISC, HL7 FHIR) to accelerate Evinova's product capabilities. Champion a culture of experimentation, intellectual honesty, and continuous learning within your product area and across the broader Evinova team. WHAT YOU BRING Required Experience 8 years of product management experience, with at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end. Domain experience in clinical trials or life sciences. You bring a deep understanding of the clinical development and clinical operations personas, know the clinical ecosystem (EDC, CDMS, CTMS, eTMF), and can engage credibly with clinical operations leaders, medical directors, biostatisticians, data managers, and regulatory professionals. Demonstrated entrepreneurial track record: you have taken at least one product from zero to one as a founder, early-stage PM, or intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled. Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role. Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions. Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions. AI Fluency Expectations You use AI tools daily in your own workflow for research, analysis, writing, prototyping, and decision-making and can articulate how AI is transforming product development practices. You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape foundation models, agentic AI, retrieval-augmented generation, fine-tuning and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred Qualifications Experience as a founder or co-founder of a technology company, or as the first product hire at an early-stage start-up. Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Date Posted 26-ago-2026 Closing Date 09-sept-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands on experience delivering AI enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud native solutions using AI first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI powered and traditional cloud native applications. We are building an AI native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control. Role Accountabilities DevOps & Infrastructure Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI assisted and agent driven engineering practices. Design resilient, secure, and highly available cloud architectures. Deliver cloud native infrastructure solutions using Azure Functions, container platforms, and managed cloud services. Optimise platform performance, scalability, reliability, and cost. Build world class deployment pipelines and automation that enable fast and reliable software delivery. Create self service development environments and platform tooling. Drive engineering productivity through AI, automation, self service capabilities and platform standardisation. Improve release processes and operational excellence across teams. CI/CD & Developer Experience Build world class deployment pipelines and automation that enable fast and reliable software delivery. Create self service development environments and platform tooling. Drive engineering productivity through AI, automation, self service capabilities and platform standardisation. Improve release processes and operational excellence across teams. Reliability & Observability Implement monitoring, logging, tracing, and alerting solutions. Establish platform SRE principles and operational standards. Proactively identify and resolve reliability, security, and performance issues. Lead incident response and continuous improvement initiatives. Security & Governance Embed security throughout the software delivery lifecycle. Implement security, governance, compliance, and operational controls across production environments. Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale. Develop guardrails, governance controls, and approval workflows for AI driven infrastructure and platform operations. Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery. Create reusable AI platform services and automation capabilities. Support model serving infrastructure and AI observability tooling. AI Platform Engineering Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale. Develop guardrails, governance controls, and approval workflows for AI driven infrastructure and platform operations. Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery. Create reusable AI platform services and automation capabilities. Support model serving infrastructure and AI observability tooling. Proud member of the Disability Confident employer scheme AI Native DevOps Platform Engineer Company: Aventum Group Salary: Not specified Hours: Full-time Location: London, EC3R 8AF Working pattern: Hybrid - 2 days remote Job type: Permanent Posting date: 10 Aug 2026 Closing date: 9 Sept 2026 Summary We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands on experience delivering AI enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud native solutions using AI first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI powered and traditional cloud native applications. We are building an AI native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control. Role Accountabilities DevOps & Infrastructure Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI assisted and agent driven engineering practices. Design resilient, secure, and highly available cloud architectures. Deliver cloud native infrastructure solutions using Azure Functions, container platforms, and managed cloud services. Optimise platform performance, scalability, reliability, and cost. CI/CD & Developer Experience Build world class deployment pipelines and automation that enable fast and reliable software delivery. Create self service development environments and platform tooling. Drive engineering productivity through AI, automation, self service capabilities and platform standardisation. Improve release processes and operational excellence across teams. Reliability & Observability Implement monitoring, logging, tracing, and alerting solutions. Establish platform SRE principles and operational standards. Proactively identify and resolve reliability, security, and performance issues. Lead incident response and continuous improvement initiatives. Security & Governance Embed security throughout the software delivery lifecycle. Implement security, governance, compliance, and operational controls across production environments. Champion secure AI deployment practices. AI Platform Engineering Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale. Develop guardrails, governance controls, and approval workflows for AI driven infrastructure and platform operations. Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery. Create reusable AI platform services and automation capabilities. Support model serving infrastructure and AI observability tooling. Proud member of the Disability Confident employer scheme About Disability Confident Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.
Sep 24, 2026
Full time
We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands on experience delivering AI enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud native solutions using AI first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI powered and traditional cloud native applications. We are building an AI native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control. Role Accountabilities DevOps & Infrastructure Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI assisted and agent driven engineering practices. Design resilient, secure, and highly available cloud architectures. Deliver cloud native infrastructure solutions using Azure Functions, container platforms, and managed cloud services. Optimise platform performance, scalability, reliability, and cost. Build world class deployment pipelines and automation that enable fast and reliable software delivery. Create self service development environments and platform tooling. Drive engineering productivity through AI, automation, self service capabilities and platform standardisation. Improve release processes and operational excellence across teams. CI/CD & Developer Experience Build world class deployment pipelines and automation that enable fast and reliable software delivery. Create self service development environments and platform tooling. Drive engineering productivity through AI, automation, self service capabilities and platform standardisation. Improve release processes and operational excellence across teams. Reliability & Observability Implement monitoring, logging, tracing, and alerting solutions. Establish platform SRE principles and operational standards. Proactively identify and resolve reliability, security, and performance issues. Lead incident response and continuous improvement initiatives. Security & Governance Embed security throughout the software delivery lifecycle. Implement security, governance, compliance, and operational controls across production environments. Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale. Develop guardrails, governance controls, and approval workflows for AI driven infrastructure and platform operations. Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery. Create reusable AI platform services and automation capabilities. Support model serving infrastructure and AI observability tooling. AI Platform Engineering Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale. Develop guardrails, governance controls, and approval workflows for AI driven infrastructure and platform operations. Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery. Create reusable AI platform services and automation capabilities. Support model serving infrastructure and AI observability tooling. Proud member of the Disability Confident employer scheme AI Native DevOps Platform Engineer Company: Aventum Group Salary: Not specified Hours: Full-time Location: London, EC3R 8AF Working pattern: Hybrid - 2 days remote Job type: Permanent Posting date: 10 Aug 2026 Closing date: 9 Sept 2026 Summary We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands on experience delivering AI enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud native solutions using AI first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI powered and traditional cloud native applications. We are building an AI native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control. Role Accountabilities DevOps & Infrastructure Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI assisted and agent driven engineering practices. Design resilient, secure, and highly available cloud architectures. Deliver cloud native infrastructure solutions using Azure Functions, container platforms, and managed cloud services. Optimise platform performance, scalability, reliability, and cost. CI/CD & Developer Experience Build world class deployment pipelines and automation that enable fast and reliable software delivery. Create self service development environments and platform tooling. Drive engineering productivity through AI, automation, self service capabilities and platform standardisation. Improve release processes and operational excellence across teams. Reliability & Observability Implement monitoring, logging, tracing, and alerting solutions. Establish platform SRE principles and operational standards. Proactively identify and resolve reliability, security, and performance issues. Lead incident response and continuous improvement initiatives. Security & Governance Embed security throughout the software delivery lifecycle. Implement security, governance, compliance, and operational controls across production environments. Champion secure AI deployment practices. AI Platform Engineering Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale. Develop guardrails, governance controls, and approval workflows for AI driven infrastructure and platform operations. Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery. Create reusable AI platform services and automation capabilities. Support model serving infrastructure and AI observability tooling. Proud member of the Disability Confident employer scheme About Disability Confident Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.
Location: This is a hybrid remote/in-office role. About our Company Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FRTT8, DSY.PA), Medidata is headquartered in New York City and has been recognised as a Leader by Everest Group and IDC. Discover more at . Listen to our latest podcast, from Dreamers to Disruptors, and follow us Our team At the heart of Medidata's ecosystem, the Data Platform Team powers and connects every application, serving as the engine for enterprise data convergence. Every interaction across our global platform generates critical data-and our mission is to transform that raw information into high-impact insights. Operating on a Data-as-a-Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials and life-saving operational outcomes globally. Modern Distributed Stack: Build at the intersection of real-time event streaming pipelines, scalable cloud data warehouses, and enterprise-grade automated data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What Will You Do Reporting to a Director of Engineering, as a Principal Data Engineer / Architect, you will lead the strategic vision and hands-on execution of our next-generation Object-Centric Data Fabric. You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data-including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role, AI augmentation is natively woven into your workflow. It acts as a force multiplier to automate routine mapping, query optimisation, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services in Java or Scala, leveraging AI coding assistants for rapid code generation, refactoring, and performance tuning. Technical Strategy & Database Optimization: Promote technical direction and engineering best practices across teams for Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies in real-time and automatically map safety signals back to operational trial datasets. Quality & AI-Driven Compliance: Lead Test-Driven Development (TDD) and Behavior-Driven Development (BDD) initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments and implement resilient, self-healing pipeline architectures. Key Business Value & Strategic Impact Your leadership will directly advance life sciences technology. By pairing modern lakehouse architecture (Snowflake, Apache Iceberg, Kafka) with AI-augmented workflows, you will empower our platform to process critical safety signals in hours rather than weeks. This enables adaptive clinical trial execution, guarantees zero-loss data integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg. Software Engineering & Streaming: Demonstrated expertise building production backend services in Java or Scala on AWS, alongside deep familiarity with real-time streaming architectures (e.g., Apache Kafka) and modern data engineering design patterns. AI-Augmented Engineering Proficiency: Active, practical experience integrating AI developer tools (e.g., GitHub Copilot, Cursor) into daily workflows to accelerate SQL query generation, code refactoring, automated testing, and technical documentation drafting. Engineering Rigor & Methodologies: Proven command of Git revision control, CI/CD pipeline automation, and TDD/BDD practices, augmented by AI-driven test case generation and quality checks. Domain & Regulatory Awareness: Strong foundational understanding of clinical trial data workflows (e.g., EDC architectures), healthcare data models, and life science compliance standards (GxP, HIPAA, GDPR), with the ability to apply AI/ML tools for schema mapping and zero-loss data integrity verification. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognise employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance; a generous pension; and 25+ paid holidays per year.
Sep 24, 2026
Full time
Location: This is a hybrid remote/in-office role. About our Company Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FRTT8, DSY.PA), Medidata is headquartered in New York City and has been recognised as a Leader by Everest Group and IDC. Discover more at . Listen to our latest podcast, from Dreamers to Disruptors, and follow us Our team At the heart of Medidata's ecosystem, the Data Platform Team powers and connects every application, serving as the engine for enterprise data convergence. Every interaction across our global platform generates critical data-and our mission is to transform that raw information into high-impact insights. Operating on a Data-as-a-Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials and life-saving operational outcomes globally. Modern Distributed Stack: Build at the intersection of real-time event streaming pipelines, scalable cloud data warehouses, and enterprise-grade automated data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What Will You Do Reporting to a Director of Engineering, as a Principal Data Engineer / Architect, you will lead the strategic vision and hands-on execution of our next-generation Object-Centric Data Fabric. You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data-including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role, AI augmentation is natively woven into your workflow. It acts as a force multiplier to automate routine mapping, query optimisation, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services in Java or Scala, leveraging AI coding assistants for rapid code generation, refactoring, and performance tuning. Technical Strategy & Database Optimization: Promote technical direction and engineering best practices across teams for Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies in real-time and automatically map safety signals back to operational trial datasets. Quality & AI-Driven Compliance: Lead Test-Driven Development (TDD) and Behavior-Driven Development (BDD) initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments and implement resilient, self-healing pipeline architectures. Key Business Value & Strategic Impact Your leadership will directly advance life sciences technology. By pairing modern lakehouse architecture (Snowflake, Apache Iceberg, Kafka) with AI-augmented workflows, you will empower our platform to process critical safety signals in hours rather than weeks. This enables adaptive clinical trial execution, guarantees zero-loss data integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg. Software Engineering & Streaming: Demonstrated expertise building production backend services in Java or Scala on AWS, alongside deep familiarity with real-time streaming architectures (e.g., Apache Kafka) and modern data engineering design patterns. AI-Augmented Engineering Proficiency: Active, practical experience integrating AI developer tools (e.g., GitHub Copilot, Cursor) into daily workflows to accelerate SQL query generation, code refactoring, automated testing, and technical documentation drafting. Engineering Rigor & Methodologies: Proven command of Git revision control, CI/CD pipeline automation, and TDD/BDD practices, augmented by AI-driven test case generation and quality checks. Domain & Regulatory Awareness: Strong foundational understanding of clinical trial data workflows (e.g., EDC architectures), healthcare data models, and life science compliance standards (GxP, HIPAA, GDPR), with the ability to apply AI/ML tools for schema mapping and zero-loss data integrity verification. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognise employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance; a generous pension; and 25+ paid holidays per year.
Job title: Enterprise Architect Service Now Office location with Hybrid working: Hammersmith About the role and the Team: The Enterprise Architect - ServiceNow is a senior individual contributor within the Enterprise Architecture function, accountable for the architecture, governance and roadmap of the ServiceNow platform as a strategic workflow and service management capability across the company. The role owns the platform target architecture and standards, spanning core modules such as CMDB/CSDM, IT Service Management (ITSM), Customer Service Management (CSM), Field Service Management (FSM) and IT Operations Management(ITOM), ensuring the platform is coherent, scalable, well-governed and aligned with the enterprise architecture and customer-centric transformation goals. The architect defines how ServiceNow integrates with the wider OSS/BSS and enterprise landscape, establishes configuration-over-customisation principles, instance and upgrade strategy, and data/CMDB governance, and champions the adoption of platform AI capabilities (e.g. Now Assist, predictive intelligence and intelligent automation). Designs are presented through the Architecture Review Board and Design Review Board, working in close partnership with Service Operations, Customer Experience, Field Operations, Networks and deliveryfunctions, as well as the ServiceNow vendor and implementation partners. Success requires outstanding communication and stakeholder management: the architect must be able to simplify complex platform scenarios for executive, business and technical audiences, and to guide solutions through the full project delivery lifecycle to successful outcomes. What will you be doing? ServiceNow Platform Architecture & Roadmap Own the definition, governance and evolution of the ServiceNow platform architecture, including target architecture, transition states and roadmap, aligned with the enterprise architecture and strategic vision. Define architecture and standards across core modules including CMDB/CSDM, ITSM, CSM, FSM and ITOM (Discovery, Event Management, Service Mapping), and assess the fit of additional capabilities (e.g. Telecommunications Service Management, ITAM, HRSD, App Engine) against business demand. Establish and enforce configuration-over-customisation principles, technical debt management, instance strategy and upgrade/release governance to keep the platform healthy, performant and evergreen. Champion adoption of ServiceNow AI and automation capabilities (e.g. Now Assist/GenAI, Predictive Intelligence, Virtual Agent, Flow Designer/Integration Hub) to enable intelligent automation and improved customer and operational outcomes. Own the CMDB architecture and data model, aligned with the Common Service Data Model (CSDM), ensuring a trusted, well-governed source of configuration and service data. Define discovery, service mapping and data population strategies, including reconciliation with network inventory, monitoring and asset sources, with clear data ownership and integrity controls. Work with the Data function to align ServiceNow data architecture with the wider enterprise data strategy, reporting and analytics. Integration & Solution Design Oversight Define the integration architecture between ServiceNow and the wider OSS/BSS and enterprise landscape (e.g. network inventory and assurance systems, CRM/billing, workforce and field systems, data platforms), favouring API-led and event-driven patterns via Integration Hub, REST/SOAP and MID Servers. Provide architectural leadership on strategic programmes with ServiceNow scope, taking an end-to-end view across business processes, platform capabilities and integrations through the full project delivery lifecycle. Produce and review high-level and solution designs, presenting them through the Architecture Review Board (ARB) and Design Review Board (DRB) with clear rationale, options analysis and traceability. Actively resolve complex platform, data and integration issues, providing clear direction and pragmatic solutions that keep delivery moving. Stakeholder Engagement & Communication Build strong, trusted relationships with stakeholders across Service Operations, Customer Experience, Field Operations, Networks and delivery functions, acting as the recognised authority for ServiceNow architecture. Present complex platform scenarios in a clear, simple and compelling way to audiences ranging from developers to senior leadership. Support the management of the ServiceNow vendor relationship and implementation partners, contributing to licensing, roadmap and capability discussions to ensure value for money. Governance, Standards & Capability Development Define and operate platform governance: demand intake, design authority for platform changes, development standards, security and access model, and environment/instance management. Set standards, patterns and ways of working for ServiceNow design and development, coaching developers, designers and analysts to raise capability across the function. Maintain awareness of the ServiceNow release roadmap and industry best practice, translating it into pragmatic improvements to the platform roadmap. What we are looking for?: University degree in Computer Science, Engineering or equivalent experience ServiceNow certifications, e.g. Certified System Administrator (CSA), Certified Implementation Specialist (CIS) in relevant modules, or Certified Technical Architect (CTA) - DESIRABLE Significant experience in solution/enterprise architecture, including several years architecting the ServiceNow platform at enterprise scale Deep familiarity with core ServiceNow modules including CMDB/CSDM, ITSM, CSM and FSM, and their end-to-end process and data flows Experience of ITOM capabilities (Discovery, Event Management, Service Mapping) and CMDB population/reconciliation strategies Strong experience of ServiceNow integration patterns: Integration Hub, REST/SOAP APIs, MID Servers, event-driven integration and data import frameworks Experience in defining platform governance: instance strategy, upgrade/release management, configuration-over-customisation, security and access models Previous experience in leading architecture on large-scale programmes through the full project delivery lifecycle, including Agile and hybrid deliveryframeworks Working knowledge of TM Forum frameworks (eTOM, SID, Open APIs) - DESIRABLE Why work for us? We are proud to have been recognized as the Which? Great Value Broadband Provider in March 2026. In 2023, we were voted Broadband Provider of the Year at the Uswitch Telecoms Awards by 20,000 customers and received the Fair Terms Gold Award. Additionally, we have earned the Great Place to Work Certification (2022-23) and were named among the UK's Best Workplaces for Wellbeing (2022). Going beyond the expected Whatever we're doing - whether we're liaising with property professionals, delivering our network, or installing in a customer's home, going beyond the expected is the benchmark for everything we do. How we work is shaped by our three culture principles: We work smarter, together We stay focused We strive for excellence Some of our key Benefits Global Remote working for up to 2 week per year for those who are able to work remotely 25 days' paid holiday increasing each year, to a max of 35 Extra days off for your birthday, moving home, wedding/civil partnership and to volunteer Private medical Insurance provided by AXA health Life assurance giving you cover of 4 times your base salary Partnership with the Kings Trust Our pension scheme matches your contributions up to 4% Retail offers - discounts from hundreds of recognisable brands Free Hyperoptic broadband if you live in a Hyperoptic area Enhanced pay for new parents We're committed to providing equal opportunities to all applicants and employees. In fact, this is at the heart of our culture and values. We welcome applications from candidates from all walks of life.
Sep 23, 2026
Full time
Job title: Enterprise Architect Service Now Office location with Hybrid working: Hammersmith About the role and the Team: The Enterprise Architect - ServiceNow is a senior individual contributor within the Enterprise Architecture function, accountable for the architecture, governance and roadmap of the ServiceNow platform as a strategic workflow and service management capability across the company. The role owns the platform target architecture and standards, spanning core modules such as CMDB/CSDM, IT Service Management (ITSM), Customer Service Management (CSM), Field Service Management (FSM) and IT Operations Management(ITOM), ensuring the platform is coherent, scalable, well-governed and aligned with the enterprise architecture and customer-centric transformation goals. The architect defines how ServiceNow integrates with the wider OSS/BSS and enterprise landscape, establishes configuration-over-customisation principles, instance and upgrade strategy, and data/CMDB governance, and champions the adoption of platform AI capabilities (e.g. Now Assist, predictive intelligence and intelligent automation). Designs are presented through the Architecture Review Board and Design Review Board, working in close partnership with Service Operations, Customer Experience, Field Operations, Networks and deliveryfunctions, as well as the ServiceNow vendor and implementation partners. Success requires outstanding communication and stakeholder management: the architect must be able to simplify complex platform scenarios for executive, business and technical audiences, and to guide solutions through the full project delivery lifecycle to successful outcomes. What will you be doing? ServiceNow Platform Architecture & Roadmap Own the definition, governance and evolution of the ServiceNow platform architecture, including target architecture, transition states and roadmap, aligned with the enterprise architecture and strategic vision. Define architecture and standards across core modules including CMDB/CSDM, ITSM, CSM, FSM and ITOM (Discovery, Event Management, Service Mapping), and assess the fit of additional capabilities (e.g. Telecommunications Service Management, ITAM, HRSD, App Engine) against business demand. Establish and enforce configuration-over-customisation principles, technical debt management, instance strategy and upgrade/release governance to keep the platform healthy, performant and evergreen. Champion adoption of ServiceNow AI and automation capabilities (e.g. Now Assist/GenAI, Predictive Intelligence, Virtual Agent, Flow Designer/Integration Hub) to enable intelligent automation and improved customer and operational outcomes. Own the CMDB architecture and data model, aligned with the Common Service Data Model (CSDM), ensuring a trusted, well-governed source of configuration and service data. Define discovery, service mapping and data population strategies, including reconciliation with network inventory, monitoring and asset sources, with clear data ownership and integrity controls. Work with the Data function to align ServiceNow data architecture with the wider enterprise data strategy, reporting and analytics. Integration & Solution Design Oversight Define the integration architecture between ServiceNow and the wider OSS/BSS and enterprise landscape (e.g. network inventory and assurance systems, CRM/billing, workforce and field systems, data platforms), favouring API-led and event-driven patterns via Integration Hub, REST/SOAP and MID Servers. Provide architectural leadership on strategic programmes with ServiceNow scope, taking an end-to-end view across business processes, platform capabilities and integrations through the full project delivery lifecycle. Produce and review high-level and solution designs, presenting them through the Architecture Review Board (ARB) and Design Review Board (DRB) with clear rationale, options analysis and traceability. Actively resolve complex platform, data and integration issues, providing clear direction and pragmatic solutions that keep delivery moving. Stakeholder Engagement & Communication Build strong, trusted relationships with stakeholders across Service Operations, Customer Experience, Field Operations, Networks and delivery functions, acting as the recognised authority for ServiceNow architecture. Present complex platform scenarios in a clear, simple and compelling way to audiences ranging from developers to senior leadership. Support the management of the ServiceNow vendor relationship and implementation partners, contributing to licensing, roadmap and capability discussions to ensure value for money. Governance, Standards & Capability Development Define and operate platform governance: demand intake, design authority for platform changes, development standards, security and access model, and environment/instance management. Set standards, patterns and ways of working for ServiceNow design and development, coaching developers, designers and analysts to raise capability across the function. Maintain awareness of the ServiceNow release roadmap and industry best practice, translating it into pragmatic improvements to the platform roadmap. What we are looking for?: University degree in Computer Science, Engineering or equivalent experience ServiceNow certifications, e.g. Certified System Administrator (CSA), Certified Implementation Specialist (CIS) in relevant modules, or Certified Technical Architect (CTA) - DESIRABLE Significant experience in solution/enterprise architecture, including several years architecting the ServiceNow platform at enterprise scale Deep familiarity with core ServiceNow modules including CMDB/CSDM, ITSM, CSM and FSM, and their end-to-end process and data flows Experience of ITOM capabilities (Discovery, Event Management, Service Mapping) and CMDB population/reconciliation strategies Strong experience of ServiceNow integration patterns: Integration Hub, REST/SOAP APIs, MID Servers, event-driven integration and data import frameworks Experience in defining platform governance: instance strategy, upgrade/release management, configuration-over-customisation, security and access models Previous experience in leading architecture on large-scale programmes through the full project delivery lifecycle, including Agile and hybrid deliveryframeworks Working knowledge of TM Forum frameworks (eTOM, SID, Open APIs) - DESIRABLE Why work for us? We are proud to have been recognized as the Which? Great Value Broadband Provider in March 2026. In 2023, we were voted Broadband Provider of the Year at the Uswitch Telecoms Awards by 20,000 customers and received the Fair Terms Gold Award. Additionally, we have earned the Great Place to Work Certification (2022-23) and were named among the UK's Best Workplaces for Wellbeing (2022). Going beyond the expected Whatever we're doing - whether we're liaising with property professionals, delivering our network, or installing in a customer's home, going beyond the expected is the benchmark for everything we do. How we work is shaped by our three culture principles: We work smarter, together We stay focused We strive for excellence Some of our key Benefits Global Remote working for up to 2 week per year for those who are able to work remotely 25 days' paid holiday increasing each year, to a max of 35 Extra days off for your birthday, moving home, wedding/civil partnership and to volunteer Private medical Insurance provided by AXA health Life assurance giving you cover of 4 times your base salary Partnership with the Kings Trust Our pension scheme matches your contributions up to 4% Retail offers - discounts from hundreds of recognisable brands Free Hyperoptic broadband if you live in a Hyperoptic area Enhanced pay for new parents We're committed to providing equal opportunities to all applicants and employees. In fact, this is at the heart of our culture and values. We welcome applications from candidates from all walks of life.
Programme Director - Strategic Transformation Programme Delivery Location: UK Client-facing Experience: 12-18 years Level: Programme Director / Delivery Partner / Transformation Director Programme Scale: scaling from 50 to 100+ Domain: Hospitality preferred; Retail, Travel, Consumer or other complex digital transformation experience considered Role Overview Seeking an experienced Programme Director to lead a strategic, multi-year Hotel Tech Transformation (AI embedded) programme for a major UK enterprise. The portfolio will span modern operational platforms, web/mobile applications, Agentic AI & Automation, Robotics, Smart Technologies, RFID, IoT and data-led operations . This is not a traditional programme-management role. The Programme Director will operate at two interconnected levels : Client Transformation Leadership - partner with Product, Technology and Business leaders to translate strategic vision into executable roadmaps, products and measurable business outcomes. Delivery & Engineering Leadership - lead a multidisciplinary technology organisation scaling from 50 to 100+ professionals , ensuring engineering quality, predictable delivery and disciplined execution. Key Accountabilities 1. Strategy to Execution Translate strategic vision into outcomes, roadmaps, product backlogs, releases and measurable value. Connect multiple initiatives into a coherent transformation roadmap, identifying dependencies, synergies and reuse opportunities. Challenge priorities and sequencing to enable start-small, scale-fast delivery . 2. End-to-End Programme Delivery Own delivery across Product, Architecture, Engineering, Integration, QA, DevSecOps, Release and Service Transition . Maintain strong control of scope, milestones, commercials, dependencies, RAID and critical path. Lead programme recovery where required and ensure multiple workstreams converge around common outcomes and architecture. 3. Delivery Assurance & Governance Establish a rigorous delivery cadence across sprint/release reviews, architecture, engineering, RAID, commercials and executive governance. Personally review critical deliverables and identify gaps before they reach the client . Ensure every key client interaction has a clear agenda, expected outcomes, decisions, owners and actions . Provide concise executive and programme dashboards covering progress, outcomes, risks, financials and decisions required. 4. Engineering & Technology Leadership Maintain sufficient technical depth to challenge architecture, engineering and delivery teams on code quality, APIs/integration, cloud platforms, data, testing, CI/CD, security, NFRs and production readiness . Conduct targeted engineering deep dives when delivery or quality indicators require intervention. Ensure platforms, environments, architecture and security approvals are established early and do not become delivery bottlenecks. 5. AI-First Engineering & Automation Embed GenAI, Agentic AI and automation throughout the engineering lifecycle - Discovery, Design, Development, Code Review, Integration, Testing, Documentation, Release and Operations. Drive measurable improvements in productivity, quality, automation coverage and release velocity. Ensure operational automation opportunities progress systematically from idea prototype industrialisation measurable value . 6. Client, Team & Commercial Leadership Build trusted relationships with senior Product, Technology and Business stakeholders and operate as a credible transformation partner. Lead and develop a high-performing organisation scaling from + people , with the right balance of leadership, domain expertise and engineering capacity. Own programme financial performance, capacity, utilisation and commercial commitments. Manage escalations decisively, bringing evidence, options and recommendations rather than simply reporting problems . Candidate Profile 15-20+ years of technology experience with significant leadership of complex, multi-year digital/product transformation programmes. Proven experience managing £multi-million programmes and 50-100+ multidisciplinary technology organisations . Experience at Programme Director, Delivery Partner, Transformation Director, Engineering Delivery Director or equivalent level . Strong executive stakeholder management and ability to translate business strategy into executable technology outcomes. Strong understanding of modern product engineering, Agile delivery and engineering governance . Sufficient technical depth to challenge senior architects and engineering leaders across cloud, application engineering, integration, data, DevSecOps, testing and security . Strong understanding of GenAI, Agentic AI and intelligent automation , including their application within software engineering. Demonstrated programme recovery, transformation and commercial management experience. Hospitality experience desirable, but strong candidates from Retail, Travel, Consumer, Aviation, Financial Services or other large-scale digital environments are encouraged. Leadership Profile We are looking for a leader who is: Executive enough to shape the transformation • Technical enough to challenge the solution • Hands-on enough to inspect the evidence • Commercial enough to manage the programme • Disciplined enough to run a tight ship The successful candidate should be equally comfortable moving between an executive strategy discussion, programme delivery review, architecture/security conversation, engineering quality deep dive and commercial governance meeting . This is not a traditional PMO role. It requires a hands-on technology transformation and delivery leader with end-to-end accountability for client outcomes, engineering quality and programme performance.
Sep 23, 2026
Full time
Programme Director - Strategic Transformation Programme Delivery Location: UK Client-facing Experience: 12-18 years Level: Programme Director / Delivery Partner / Transformation Director Programme Scale: scaling from 50 to 100+ Domain: Hospitality preferred; Retail, Travel, Consumer or other complex digital transformation experience considered Role Overview Seeking an experienced Programme Director to lead a strategic, multi-year Hotel Tech Transformation (AI embedded) programme for a major UK enterprise. The portfolio will span modern operational platforms, web/mobile applications, Agentic AI & Automation, Robotics, Smart Technologies, RFID, IoT and data-led operations . This is not a traditional programme-management role. The Programme Director will operate at two interconnected levels : Client Transformation Leadership - partner with Product, Technology and Business leaders to translate strategic vision into executable roadmaps, products and measurable business outcomes. Delivery & Engineering Leadership - lead a multidisciplinary technology organisation scaling from 50 to 100+ professionals , ensuring engineering quality, predictable delivery and disciplined execution. Key Accountabilities 1. Strategy to Execution Translate strategic vision into outcomes, roadmaps, product backlogs, releases and measurable value. Connect multiple initiatives into a coherent transformation roadmap, identifying dependencies, synergies and reuse opportunities. Challenge priorities and sequencing to enable start-small, scale-fast delivery . 2. End-to-End Programme Delivery Own delivery across Product, Architecture, Engineering, Integration, QA, DevSecOps, Release and Service Transition . Maintain strong control of scope, milestones, commercials, dependencies, RAID and critical path. Lead programme recovery where required and ensure multiple workstreams converge around common outcomes and architecture. 3. Delivery Assurance & Governance Establish a rigorous delivery cadence across sprint/release reviews, architecture, engineering, RAID, commercials and executive governance. Personally review critical deliverables and identify gaps before they reach the client . Ensure every key client interaction has a clear agenda, expected outcomes, decisions, owners and actions . Provide concise executive and programme dashboards covering progress, outcomes, risks, financials and decisions required. 4. Engineering & Technology Leadership Maintain sufficient technical depth to challenge architecture, engineering and delivery teams on code quality, APIs/integration, cloud platforms, data, testing, CI/CD, security, NFRs and production readiness . Conduct targeted engineering deep dives when delivery or quality indicators require intervention. Ensure platforms, environments, architecture and security approvals are established early and do not become delivery bottlenecks. 5. AI-First Engineering & Automation Embed GenAI, Agentic AI and automation throughout the engineering lifecycle - Discovery, Design, Development, Code Review, Integration, Testing, Documentation, Release and Operations. Drive measurable improvements in productivity, quality, automation coverage and release velocity. Ensure operational automation opportunities progress systematically from idea prototype industrialisation measurable value . 6. Client, Team & Commercial Leadership Build trusted relationships with senior Product, Technology and Business stakeholders and operate as a credible transformation partner. Lead and develop a high-performing organisation scaling from + people , with the right balance of leadership, domain expertise and engineering capacity. Own programme financial performance, capacity, utilisation and commercial commitments. Manage escalations decisively, bringing evidence, options and recommendations rather than simply reporting problems . Candidate Profile 15-20+ years of technology experience with significant leadership of complex, multi-year digital/product transformation programmes. Proven experience managing £multi-million programmes and 50-100+ multidisciplinary technology organisations . Experience at Programme Director, Delivery Partner, Transformation Director, Engineering Delivery Director or equivalent level . Strong executive stakeholder management and ability to translate business strategy into executable technology outcomes. Strong understanding of modern product engineering, Agile delivery and engineering governance . Sufficient technical depth to challenge senior architects and engineering leaders across cloud, application engineering, integration, data, DevSecOps, testing and security . Strong understanding of GenAI, Agentic AI and intelligent automation , including their application within software engineering. Demonstrated programme recovery, transformation and commercial management experience. Hospitality experience desirable, but strong candidates from Retail, Travel, Consumer, Aviation, Financial Services or other large-scale digital environments are encouraged. Leadership Profile We are looking for a leader who is: Executive enough to shape the transformation • Technical enough to challenge the solution • Hands-on enough to inspect the evidence • Commercial enough to manage the programme • Disciplined enough to run a tight ship The successful candidate should be equally comfortable moving between an executive strategy discussion, programme delivery review, architecture/security conversation, engineering quality deep dive and commercial governance meeting . This is not a traditional PMO role. It requires a hands-on technology transformation and delivery leader with end-to-end accountability for client outcomes, engineering quality and programme performance.
Senior Principal Process Engineer - UK Water/Wastewater Water Wastewater Biosolids/Sludge AMP 8 SROs MEP-Led Team Shape the Future of Water Infrastructure with Egis London Bristol Manchester (Hybrid) Process Engineering Design UK Wide Impact High Growth Environment Egis is expanding rapidly in the UK, backed by a global team of more than 23,500 experts across 70+ countries. We design and deliver intelligent, sustainable infrastructure to address climate challenges and strengthen community resilience. As part of our fast growing UK Water team, you will join an agile environment where progression is quick, visibility is high, and your impact is immediate. Senior Principal Process Engineer - UK Water/Wastewater Water Wastewater Biosolids/Sludge AMP 8 SROs MEP-Led Team Shape the Future of Water Infrastructure with Egis London Bristol Manchester (Hybrid) Process Engineering Design UK Wide Impact High Growth Environment Egis is expanding rapidly in the UK, backed by a global team of more than 23,500 experts across 70+ countries. We design and deliver intelligent, sustainable infrastructure to address climate challenges and strengthen community resilience. As part of our fast growing UK Water team, you will join an agile environment where progression is quick, visibility is high, and your impact is immediate. Job Description About the Role The UK water sector is entering a period of unprecedented investment and transformation. As Egis accelerates the growth of its Water Business in the UK, we are building a high-performing Process Engineering team to help shape this next chapter. We are inviting applicants who want to play a meaningful role in delivering major water and wastewater programmes in the UK municipal and industrial sectors. Working within a collaborative, multidisciplinary environment, you will contribute to technically robust, sustainable and innovative treatment solutions across nationally significant projects. This is a rare opportunity to join at a key stage of our UK growth journey, helping to establish, shape and expand a process engineering capability built on Egis' global infrastructure expertise and long-term commitment to the sector. Key Responsibilities Provide senior technical leadership for the process discipline within the UK water/wastewater treatment design team. Act as process discipline lead, sub lead or senior technical authority on complex treatment projects across design, construction support, commissioning and handover. Set and maintain process design standards, checking requirements, modelling approaches, design risk processes, digital workflows and quality expectations. Lead and assure complex process deliverables, treatment strategies, process models, key technical decisions, supplier packages, contractor submissions and multidisciplinary interfaces. Drive integrated coordination across Process, Mechanical, EICA, civil/structural, architectural, MEP, construction, commissioning and operations teams. Lead senior client engagement, technical workshops, optioneering, value engineering, design reviews, process safety reviews and performance optimisation discussions. Embed modern delivery approaches including process simulation, data led design, automation, standardisation, digital tools and model informed decision making. Support project directors and project managers with technical risk, scope, resourcing, programme, budget, change control and design quality. Build and develop the process sub team through recruitment, mentoring, line management, succession planning and professional development. Support business planning, work winning, client development, bid strategy and growth of Egis' UK water/wastewater treatment capability. Qualifications Minimum Requirements BEng/MEng or equivalent in Chemical Engineering, Process Engineering or closely related discipline. Chartered Engineer or Incorporated Engineer status with a relevant professional institution, such as IChemE. Typically 10-12+ years' relevant process design experience. Background must be from water, wastewater and/or biosolids/sludge treatment design. Proven track record leading process design and technical assurance on complex multidisciplinary water/wastewater treatment projects. Deep technical expertise in treatment process design, process selection, mass balance, process capacity, PFDs, P&IDs, design basis development and commissioning/performance testing. Strong practical experience using process modelling/simulation packages such as BioWin, SUMO, Dynamizu or equivalent. Strong understanding of UK regulated water sector drivers, water company standards, CDM 2015, process safety, environmental/regulatory requirements and common delivery models. Demonstrable experience developing people, including mentoring, line management, technical coaching, recruitment or resource planning. Strong client and stakeholder management skills, with credibility to lead senior technical conversations and influence project direction. Strong commercial and delivery awareness, including scope development, fee estimating, programme/resource planning, risk management and change control. Desirable Skills / Knowledge Experience as process discipline lead, design manager, technical director, associate-level lead or sub team lead within consultancy, contractor, water company or technology provider environments. Strong UK water sector client network and experience supporting account growth, opportunity shaping, bid leadership and work winning. Advanced experience with BioWin, SUMO, Dynamizu, model calibration, dynamic simulation, scenario testing, optimisation studies or operational troubleshooting. Experience developing services around digital treatment design, process optimisation, operational intelligence, nutrient removal, sludge/bioresources, water reuse, energy/carbon reduction or smart assets. Experience leading process technical governance, communities of practice, design standards, QA frameworks or delivery improvement initiatives. Experience building teams during growth phases, including skills mapping, capability planning and creation of a positive, delivery focused culture. Please note that you must have the right to work in the UK to be considered for this position. Additional Information What's in It for You? An exciting new growth role in a fast organic growing UK business, offering clear and accelerated career progression Top Employers 2025 - Egis recognised across four continents for excellence in HR practices, having been awarded the prestigious Top Employer 2025 certification. Top Employers Institute is the global authority on recognising excellence in people practices. A global leader in green infrastructure - we're proud to lead the way in sustainable infrastructure, mobility and energy, innovating across the entire value chain and every aspect of the built environment. Highly competitive reward package Hybrid and flexible working 26+ days annual leave plus bank holidays Professional development, chartership support & global mobility Supportive, inclusive culture driven by sustainability and long term community impact Ready to Lead? Join Egis and play a pivotal role in shaping the future of sustainable water infrastructure across the UK. We are committed to our planet In each project we design, engineer and operate we care deeply about the legacy we're leaving behind. As part of our team, you'll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe. Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed purely based on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one's contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.
Sep 23, 2026
Full time
Senior Principal Process Engineer - UK Water/Wastewater Water Wastewater Biosolids/Sludge AMP 8 SROs MEP-Led Team Shape the Future of Water Infrastructure with Egis London Bristol Manchester (Hybrid) Process Engineering Design UK Wide Impact High Growth Environment Egis is expanding rapidly in the UK, backed by a global team of more than 23,500 experts across 70+ countries. We design and deliver intelligent, sustainable infrastructure to address climate challenges and strengthen community resilience. As part of our fast growing UK Water team, you will join an agile environment where progression is quick, visibility is high, and your impact is immediate. Senior Principal Process Engineer - UK Water/Wastewater Water Wastewater Biosolids/Sludge AMP 8 SROs MEP-Led Team Shape the Future of Water Infrastructure with Egis London Bristol Manchester (Hybrid) Process Engineering Design UK Wide Impact High Growth Environment Egis is expanding rapidly in the UK, backed by a global team of more than 23,500 experts across 70+ countries. We design and deliver intelligent, sustainable infrastructure to address climate challenges and strengthen community resilience. As part of our fast growing UK Water team, you will join an agile environment where progression is quick, visibility is high, and your impact is immediate. Job Description About the Role The UK water sector is entering a period of unprecedented investment and transformation. As Egis accelerates the growth of its Water Business in the UK, we are building a high-performing Process Engineering team to help shape this next chapter. We are inviting applicants who want to play a meaningful role in delivering major water and wastewater programmes in the UK municipal and industrial sectors. Working within a collaborative, multidisciplinary environment, you will contribute to technically robust, sustainable and innovative treatment solutions across nationally significant projects. This is a rare opportunity to join at a key stage of our UK growth journey, helping to establish, shape and expand a process engineering capability built on Egis' global infrastructure expertise and long-term commitment to the sector. Key Responsibilities Provide senior technical leadership for the process discipline within the UK water/wastewater treatment design team. Act as process discipline lead, sub lead or senior technical authority on complex treatment projects across design, construction support, commissioning and handover. Set and maintain process design standards, checking requirements, modelling approaches, design risk processes, digital workflows and quality expectations. Lead and assure complex process deliverables, treatment strategies, process models, key technical decisions, supplier packages, contractor submissions and multidisciplinary interfaces. Drive integrated coordination across Process, Mechanical, EICA, civil/structural, architectural, MEP, construction, commissioning and operations teams. Lead senior client engagement, technical workshops, optioneering, value engineering, design reviews, process safety reviews and performance optimisation discussions. Embed modern delivery approaches including process simulation, data led design, automation, standardisation, digital tools and model informed decision making. Support project directors and project managers with technical risk, scope, resourcing, programme, budget, change control and design quality. Build and develop the process sub team through recruitment, mentoring, line management, succession planning and professional development. Support business planning, work winning, client development, bid strategy and growth of Egis' UK water/wastewater treatment capability. Qualifications Minimum Requirements BEng/MEng or equivalent in Chemical Engineering, Process Engineering or closely related discipline. Chartered Engineer or Incorporated Engineer status with a relevant professional institution, such as IChemE. Typically 10-12+ years' relevant process design experience. Background must be from water, wastewater and/or biosolids/sludge treatment design. Proven track record leading process design and technical assurance on complex multidisciplinary water/wastewater treatment projects. Deep technical expertise in treatment process design, process selection, mass balance, process capacity, PFDs, P&IDs, design basis development and commissioning/performance testing. Strong practical experience using process modelling/simulation packages such as BioWin, SUMO, Dynamizu or equivalent. Strong understanding of UK regulated water sector drivers, water company standards, CDM 2015, process safety, environmental/regulatory requirements and common delivery models. Demonstrable experience developing people, including mentoring, line management, technical coaching, recruitment or resource planning. Strong client and stakeholder management skills, with credibility to lead senior technical conversations and influence project direction. Strong commercial and delivery awareness, including scope development, fee estimating, programme/resource planning, risk management and change control. Desirable Skills / Knowledge Experience as process discipline lead, design manager, technical director, associate-level lead or sub team lead within consultancy, contractor, water company or technology provider environments. Strong UK water sector client network and experience supporting account growth, opportunity shaping, bid leadership and work winning. Advanced experience with BioWin, SUMO, Dynamizu, model calibration, dynamic simulation, scenario testing, optimisation studies or operational troubleshooting. Experience developing services around digital treatment design, process optimisation, operational intelligence, nutrient removal, sludge/bioresources, water reuse, energy/carbon reduction or smart assets. Experience leading process technical governance, communities of practice, design standards, QA frameworks or delivery improvement initiatives. Experience building teams during growth phases, including skills mapping, capability planning and creation of a positive, delivery focused culture. Please note that you must have the right to work in the UK to be considered for this position. Additional Information What's in It for You? An exciting new growth role in a fast organic growing UK business, offering clear and accelerated career progression Top Employers 2025 - Egis recognised across four continents for excellence in HR practices, having been awarded the prestigious Top Employer 2025 certification. Top Employers Institute is the global authority on recognising excellence in people practices. A global leader in green infrastructure - we're proud to lead the way in sustainable infrastructure, mobility and energy, innovating across the entire value chain and every aspect of the built environment. Highly competitive reward package Hybrid and flexible working 26+ days annual leave plus bank holidays Professional development, chartership support & global mobility Supportive, inclusive culture driven by sustainability and long term community impact Ready to Lead? Join Egis and play a pivotal role in shaping the future of sustainable water infrastructure across the UK. We are committed to our planet In each project we design, engineer and operate we care deeply about the legacy we're leaving behind. As part of our team, you'll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe. Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed purely based on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one's contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.
Senior Lead - Reporting, Analytics and AI Make Power for Good RES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. The problems we're solving are among the most important of our generation - and the people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive real decisions - within a company that's changing the world - this is the role for you. The Role Are you ready to shape the future of data-driven decision-making across one of the World's leading renewable energy businesses? At RES we are driving transformation through the power of data and insights - and we're looking for a visionary Senior Leader to join our Data and Analytics team - a Data and AI Architect and Platform to lead the way. In this pivotal role, you will be responsible for designing and delivering scalable, secure, and future-ready data, AI and analytics products and data models that will serve as the single source of truth for our enterprise. Your mission: to empower teams across the business with reliable, real-time data and insights that drive smarter, faster, and more impactful decisions. You'll be a key leader and 2IC for our global Data & AI Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you're passionate about data and AI modelling, reporting, analytics and AI and making data accessible and actionable - we want to hear from you. You'll own the delivery of analytics and AI products at RES - turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business. This is a hands-on technical role and leadership role with 15+ years of experience required. You'll build data models, reports and analytics and apply LLMs and machine learning to business questions, delivering automation that cuts manual effort and unlocks new insight. You'll focus your energy on dimensional and semantic data modelling, analysis, AI application, and insight delivery - working with modern cloud platforms and data and AI infrastructure. You will work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. You will have leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Do Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. Work independently with senior executives, external vendors and cross-functional stakeholders to identify, prioritise, and document business requirements and use cases. Leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Deliver reporting, data modelling and advanced analytics across complex business domains - defining, validating, and owning the definitions, metrics and models that drive decisions. Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Apply machine learning, analytics and reporting to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences. Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent - reducing manual effort and improving data-driven workflows. Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs and AI products. Support and lead teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Bring Extensive experience leading business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Leading working groups and present to executive stakeholders with strong negotiating and influencing skills. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Strategy, planning and roadmap delivery and implementation to KPI standards. Semantic and dimensional data modelling - design comprehensive models from different source systems using state of the art modelling techniques, Kimbal, star schema and modern modelling tooling and automation of modelling. Data visualisation - ability to design clear, accurate, executive-ready outputs using tools such as Power BI or equivalent. Python and SQL - strong, hands-on proficiency for data analysis, modelling, and scripting. Machine learning - knowledge in building and applying supervised and unsupervised models to real business problems. Generative AI and LLMs - prompt engineering, RAG, and applied use of LLM tooling in an analytical context. Automation tooling - experience with platforms such as Power Platform, Power Automate, or equivalent. Communication, business requirements and leadership - working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills. Your Background Essential Degree in data science, data analytics, computer science. UK citizen or full UK work rights. No visa or sponsorship available. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Track record of working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Able to chair groups and regularly present to senior executive stakeholders with strong negotiating and influencing skills. Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Hands-on experience delivering extensive reporting, modelling and advanced analytics work across complex and diverse data domains and multiple source systems at enterprise level. 10+ years' experience as a technical analyst, delivering advanced analytics and AI solutions with measurable business impact. Strong Python, modelling and SQL skills applied in an analytical context. Proven experience delivering comprehensive semantic and dimensional data models. Extensive experience with the Microsoft Azure platform for reporting, data development and analytics. Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric. . click apply for full job details
Sep 23, 2026
Full time
Senior Lead - Reporting, Analytics and AI Make Power for Good RES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. The problems we're solving are among the most important of our generation - and the people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive real decisions - within a company that's changing the world - this is the role for you. The Role Are you ready to shape the future of data-driven decision-making across one of the World's leading renewable energy businesses? At RES we are driving transformation through the power of data and insights - and we're looking for a visionary Senior Leader to join our Data and Analytics team - a Data and AI Architect and Platform to lead the way. In this pivotal role, you will be responsible for designing and delivering scalable, secure, and future-ready data, AI and analytics products and data models that will serve as the single source of truth for our enterprise. Your mission: to empower teams across the business with reliable, real-time data and insights that drive smarter, faster, and more impactful decisions. You'll be a key leader and 2IC for our global Data & AI Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you're passionate about data and AI modelling, reporting, analytics and AI and making data accessible and actionable - we want to hear from you. You'll own the delivery of analytics and AI products at RES - turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business. This is a hands-on technical role and leadership role with 15+ years of experience required. You'll build data models, reports and analytics and apply LLMs and machine learning to business questions, delivering automation that cuts manual effort and unlocks new insight. You'll focus your energy on dimensional and semantic data modelling, analysis, AI application, and insight delivery - working with modern cloud platforms and data and AI infrastructure. You will work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. You will have leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Do Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. Work independently with senior executives, external vendors and cross-functional stakeholders to identify, prioritise, and document business requirements and use cases. Leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Deliver reporting, data modelling and advanced analytics across complex business domains - defining, validating, and owning the definitions, metrics and models that drive decisions. Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Apply machine learning, analytics and reporting to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences. Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent - reducing manual effort and improving data-driven workflows. Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs and AI products. Support and lead teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Bring Extensive experience leading business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Leading working groups and present to executive stakeholders with strong negotiating and influencing skills. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Strategy, planning and roadmap delivery and implementation to KPI standards. Semantic and dimensional data modelling - design comprehensive models from different source systems using state of the art modelling techniques, Kimbal, star schema and modern modelling tooling and automation of modelling. Data visualisation - ability to design clear, accurate, executive-ready outputs using tools such as Power BI or equivalent. Python and SQL - strong, hands-on proficiency for data analysis, modelling, and scripting. Machine learning - knowledge in building and applying supervised and unsupervised models to real business problems. Generative AI and LLMs - prompt engineering, RAG, and applied use of LLM tooling in an analytical context. Automation tooling - experience with platforms such as Power Platform, Power Automate, or equivalent. Communication, business requirements and leadership - working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills. Your Background Essential Degree in data science, data analytics, computer science. UK citizen or full UK work rights. No visa or sponsorship available. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Track record of working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Able to chair groups and regularly present to senior executive stakeholders with strong negotiating and influencing skills. Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Hands-on experience delivering extensive reporting, modelling and advanced analytics work across complex and diverse data domains and multiple source systems at enterprise level. 10+ years' experience as a technical analyst, delivering advanced analytics and AI solutions with measurable business impact. Strong Python, modelling and SQL skills applied in an analytical context. Proven experience delivering comprehensive semantic and dimensional data models. Extensive experience with the Microsoft Azure platform for reporting, data development and analytics. Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric. . click apply for full job details
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on LinkedIn and X. Staff Mixed-Signal Design Engineer About The Role As a Staff Mixed Signal Design Engineer, you will provide technical leadership in the design and development of sophisticated mixed-signal integrated circuits (ICs) including power management ICs, ADCs, DACs, PLLs, and other mixed-signal blocks. You'll make critical architectural decisions, drive technical innovation, and establish mixed-signal design methodologies. Your expertise will bridge both analog and digital domains, enabling you to optimize system performance while mentoring junior engineers and collaborating with cross-functional teams to deliver high-performance semiconductor solutions. Job Duties And Responsibilities As a Staff Mixed-Signal Design Engineer within the Advanced Cores Group (ACG) you will work on the development of ADC, DAC, and/or SerDes PHY subsystems for highly sophisticated mixed-signal system-on-chip (SoC) integrated circuit products using FinFET wafer technologies. The Advanced Cores Group develops innovative, state of the art, high-performance circuits as often shown by presentations at premier conferences and publications in premier journals. Your work will include: Evaluating alternative mixed-signal subsystem implementation architectures. Designing challenging transistor-level mixed-signal integrated circuits. Preparing effective design documents and conduct effective design reviews. Guiding mixed-signal integrated circuit layout. Guiding mixed-signal integrated circuit evaluation and test. Qualifications MS Electrical Engineering. 7+ years of mixed-signal integrated circuit development experience. Strong understanding of data converter architectures and specifications and/or deep understanding of SerDes PHY architectures and specifications Deep understanding of mixed-signal design fundamentals, design tools, and methodologies. Solid understanding of integrated circuit product development, including design, verification, evaluation, test, and qualification. Successful experience developing challenging mixed-signal integrated circuits for commercial applications. Strong technical leadership, teamwork, and communication skills. Why You'll Love Working at ADI At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. Your expertise will shape the future of technology, and you'll be supported by a culture that values continuous advancement and professional growth. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days
Sep 23, 2026
Full time
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on LinkedIn and X. Staff Mixed-Signal Design Engineer About The Role As a Staff Mixed Signal Design Engineer, you will provide technical leadership in the design and development of sophisticated mixed-signal integrated circuits (ICs) including power management ICs, ADCs, DACs, PLLs, and other mixed-signal blocks. You'll make critical architectural decisions, drive technical innovation, and establish mixed-signal design methodologies. Your expertise will bridge both analog and digital domains, enabling you to optimize system performance while mentoring junior engineers and collaborating with cross-functional teams to deliver high-performance semiconductor solutions. Job Duties And Responsibilities As a Staff Mixed-Signal Design Engineer within the Advanced Cores Group (ACG) you will work on the development of ADC, DAC, and/or SerDes PHY subsystems for highly sophisticated mixed-signal system-on-chip (SoC) integrated circuit products using FinFET wafer technologies. The Advanced Cores Group develops innovative, state of the art, high-performance circuits as often shown by presentations at premier conferences and publications in premier journals. Your work will include: Evaluating alternative mixed-signal subsystem implementation architectures. Designing challenging transistor-level mixed-signal integrated circuits. Preparing effective design documents and conduct effective design reviews. Guiding mixed-signal integrated circuit layout. Guiding mixed-signal integrated circuit evaluation and test. Qualifications MS Electrical Engineering. 7+ years of mixed-signal integrated circuit development experience. Strong understanding of data converter architectures and specifications and/or deep understanding of SerDes PHY architectures and specifications Deep understanding of mixed-signal design fundamentals, design tools, and methodologies. Solid understanding of integrated circuit product development, including design, verification, evaluation, test, and qualification. Successful experience developing challenging mixed-signal integrated circuits for commercial applications. Strong technical leadership, teamwork, and communication skills. Why You'll Love Working at ADI At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. Your expertise will shape the future of technology, and you'll be supported by a culture that values continuous advancement and professional growth. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. Available Locations: London, United Kingdom About The Department Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team analyzes these unique data points at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. About INTERDICT I.N.T.E.R.D.I.C.T. (Identify, Neutralize, Triage, Engage, Respond, Disrupt, Integrate, Contain, Threat Hunting) is Cloudforce One's unified operational security organization responsible for identifying, analyzing, and responding to threats targeting Cloudflare and its customers. INTERDICT encompasses three main sub-functions: PhishGuard: Email Managed Detection and Response (MDR) service. Cloudflare Managed Defense (CMD): 24/7 monitoring, detection, and mitigation of security events across Cloudflare products. Detection Engineering: Develops, maintains, and deploys Cloudflare's threat detection logic across email, application, and network telemetry. Through the combined capabilities of CMD, PhishGuard, and Detection Engineering, INTERDICT delivers a cohesive operational security function that provides continuous, proactive protection against network, application, and email-based threats. This integrated structure ensures rapid detection, coordinated response, and improved security outcomes for Cloudflare and its customers. About The Role Senior Response Engineer (Network Security focused) within the Cloudflare Managed Defense Center (CMDC) serves as a core technical specialist within the proactive security team. This position is built for a network security practitioner who thrives at the intersection of deep routing protocol investigation, edge-network defense, and strategic technical partnership. The role is responsible for architecting responses to sophisticated infrastructure threats across OSI Layers 3, 4, and 7, ensuring global customers remain resilient against large-scale volumetric DDoS attacks and complex network-layer anomalies. What You'll Do Acting as a primary technical anchor for network defense, you will provide advanced assistance and strategic intelligence across Cloudflare's most sophisticated customer environments. This involves deep mastery of infrastructure protection components (spanning Cloudflare's native services or industry equivalent solutions), including BGP routing and advertisement control (managing prefix advertisement and de advertisement), network protection like Magic Transit, IPFLOW based Magic Network Monitoring, Advanced TCP/UDP protection, DDoS mitigation rulesets, firewall configurations, Layer 4 proxies such as Spectrum, DNS Firewall, and connectivity troubleshooting over GRE, IPsec, and CNI. A working knowledge of application security (including CDN technology and Web Application Firewalls) will allow you to extend support across broader Managed Defense activities. Technical Mentorship: Elevating the team's collective skill set by acting as a "player coach" providing hands on technical guidance during live incidents and reviewing complex mitigation strategies. Deep Dive Investigation & Mitigation: Analyzing infrastructure threats using advanced internal telemetry to engineer informed mitigation strategies-specifically focusing on DDoS vectors, BGP routing anomalies, and GRE encapsulation issues-implementing defenses directly on the edge for mission critical traffic. Detection Engineering & Tuning: Continuously designing and refining detection mechanisms, security controls, and alerting thresholds to ensure highly accurate, rapid identification of sophisticated network attacks with minimal false positives. Infrastructure & Tooling Evolution (AI Driven): Partnering closely with Product, Engineering, and AI teams to transform real world DDoS attack data into AI powered automated network defenses, dynamic mitigation models, and enhanced platform capabilities. Strategic Technical Communication: Serving as an authoritative technical voice during active volumetric attacks, providing clarity and architectural routing guidance to both internal stakeholders and external customer engineering teams. Responsibilities Technical Escalation & Response: Acting as a subject matter expert for the Managed Defense Center during complex network security incidents, providing hands on intervention for large-scale volumetric and protocol based DDoS attacks when standard protocols are exceeded. Incident Architecture: Leading the technical response to sophisticated infrastructure threats, validating the efficacy of network mitigation rules, and ensuring stable, clean traffic delivery via BGP and GRE mechanisms. Detection Engineering: Designing, deploying, and tuning network attack detection logic, utilizing attack telemetry to stay consistently ahead of evolving DDoS methodologies and adversary tactics. Technical Communications: Driving high touch technical dialogue with customer network teams during critical incidents, translating complex routing and attack flow data into actionable architectural advice. Operational Engineering & AI Integration: Designing and refining technical Managed Defense workflows, building AI driven automated troubleshooting playbooks (particularly around BGP/GRE), and tuning alerting thresholds to create self healing infrastructure responses. Forensics & Analysis: Utilizing internal telemetry, flow data, and specialized monitoring tools to perform deep dive forensics on novel network attack vectors. Technical Coaching: Mentoring the Managed Defense team on advanced traffic analysis and security best practices, ensuring a high technical bar across the Managed Defense Center. Desirable Skills, Knowledge, and Experience: Experience: A minimum of 8+ years of relevant hands on experience specifically within the DDoS mitigation industry, Network Security Operations, or a highly technical infrastructure incident response environment. Protocol Sovereignty: A profound understanding of internet routing and encapsulation protocols. Expert level knowledge of BGP (Border Gateway Protocol) and GRE (Generic Routing Encapsulation) reinjection, along with a deep ability to deconstruct TCP/IP, UDP, and ICMP traffic flows. Security Mastery: Proven ability to identify common network attacks and design robust mitigation strategies for complex volumetric DDoS, UDP/TCP based, and protocol exhaustion using edge based security controls. Detection & Tuning: Demonstrated expertise in detection engineering, including the continuous tuning of network security rules and alerts to optimize defense efficacy and operational signal to noise ratios. AI Tooling & Automation: Proficiency in Python, Go, or Bash to automate network security workflows, with demonstrated experience leveraging AI/ML models or LLM APIs to build automated troubleshooting diagnostics and dynamic threat mitigations. System Literacy: Experience with monitoring platforms (e.g., Prometheus/Grafana) and querying large network datasets to operationalize contextual routing and security data. Certifications: Advanced networking and network security credentials such as Cisco CCNP, CCNP Security, or CCIE are highly valued. What Makes Cloudflare Special? We're not just a highly ambitious, large scale technology company. We're a highly ambitious, large scale technology company with a soul . click apply for full job details
Sep 23, 2026
Full time
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. Available Locations: London, United Kingdom About The Department Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team analyzes these unique data points at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. About INTERDICT I.N.T.E.R.D.I.C.T. (Identify, Neutralize, Triage, Engage, Respond, Disrupt, Integrate, Contain, Threat Hunting) is Cloudforce One's unified operational security organization responsible for identifying, analyzing, and responding to threats targeting Cloudflare and its customers. INTERDICT encompasses three main sub-functions: PhishGuard: Email Managed Detection and Response (MDR) service. Cloudflare Managed Defense (CMD): 24/7 monitoring, detection, and mitigation of security events across Cloudflare products. Detection Engineering: Develops, maintains, and deploys Cloudflare's threat detection logic across email, application, and network telemetry. Through the combined capabilities of CMD, PhishGuard, and Detection Engineering, INTERDICT delivers a cohesive operational security function that provides continuous, proactive protection against network, application, and email-based threats. This integrated structure ensures rapid detection, coordinated response, and improved security outcomes for Cloudflare and its customers. About The Role Senior Response Engineer (Network Security focused) within the Cloudflare Managed Defense Center (CMDC) serves as a core technical specialist within the proactive security team. This position is built for a network security practitioner who thrives at the intersection of deep routing protocol investigation, edge-network defense, and strategic technical partnership. The role is responsible for architecting responses to sophisticated infrastructure threats across OSI Layers 3, 4, and 7, ensuring global customers remain resilient against large-scale volumetric DDoS attacks and complex network-layer anomalies. What You'll Do Acting as a primary technical anchor for network defense, you will provide advanced assistance and strategic intelligence across Cloudflare's most sophisticated customer environments. This involves deep mastery of infrastructure protection components (spanning Cloudflare's native services or industry equivalent solutions), including BGP routing and advertisement control (managing prefix advertisement and de advertisement), network protection like Magic Transit, IPFLOW based Magic Network Monitoring, Advanced TCP/UDP protection, DDoS mitigation rulesets, firewall configurations, Layer 4 proxies such as Spectrum, DNS Firewall, and connectivity troubleshooting over GRE, IPsec, and CNI. A working knowledge of application security (including CDN technology and Web Application Firewalls) will allow you to extend support across broader Managed Defense activities. Technical Mentorship: Elevating the team's collective skill set by acting as a "player coach" providing hands on technical guidance during live incidents and reviewing complex mitigation strategies. Deep Dive Investigation & Mitigation: Analyzing infrastructure threats using advanced internal telemetry to engineer informed mitigation strategies-specifically focusing on DDoS vectors, BGP routing anomalies, and GRE encapsulation issues-implementing defenses directly on the edge for mission critical traffic. Detection Engineering & Tuning: Continuously designing and refining detection mechanisms, security controls, and alerting thresholds to ensure highly accurate, rapid identification of sophisticated network attacks with minimal false positives. Infrastructure & Tooling Evolution (AI Driven): Partnering closely with Product, Engineering, and AI teams to transform real world DDoS attack data into AI powered automated network defenses, dynamic mitigation models, and enhanced platform capabilities. Strategic Technical Communication: Serving as an authoritative technical voice during active volumetric attacks, providing clarity and architectural routing guidance to both internal stakeholders and external customer engineering teams. Responsibilities Technical Escalation & Response: Acting as a subject matter expert for the Managed Defense Center during complex network security incidents, providing hands on intervention for large-scale volumetric and protocol based DDoS attacks when standard protocols are exceeded. Incident Architecture: Leading the technical response to sophisticated infrastructure threats, validating the efficacy of network mitigation rules, and ensuring stable, clean traffic delivery via BGP and GRE mechanisms. Detection Engineering: Designing, deploying, and tuning network attack detection logic, utilizing attack telemetry to stay consistently ahead of evolving DDoS methodologies and adversary tactics. Technical Communications: Driving high touch technical dialogue with customer network teams during critical incidents, translating complex routing and attack flow data into actionable architectural advice. Operational Engineering & AI Integration: Designing and refining technical Managed Defense workflows, building AI driven automated troubleshooting playbooks (particularly around BGP/GRE), and tuning alerting thresholds to create self healing infrastructure responses. Forensics & Analysis: Utilizing internal telemetry, flow data, and specialized monitoring tools to perform deep dive forensics on novel network attack vectors. Technical Coaching: Mentoring the Managed Defense team on advanced traffic analysis and security best practices, ensuring a high technical bar across the Managed Defense Center. Desirable Skills, Knowledge, and Experience: Experience: A minimum of 8+ years of relevant hands on experience specifically within the DDoS mitigation industry, Network Security Operations, or a highly technical infrastructure incident response environment. Protocol Sovereignty: A profound understanding of internet routing and encapsulation protocols. Expert level knowledge of BGP (Border Gateway Protocol) and GRE (Generic Routing Encapsulation) reinjection, along with a deep ability to deconstruct TCP/IP, UDP, and ICMP traffic flows. Security Mastery: Proven ability to identify common network attacks and design robust mitigation strategies for complex volumetric DDoS, UDP/TCP based, and protocol exhaustion using edge based security controls. Detection & Tuning: Demonstrated expertise in detection engineering, including the continuous tuning of network security rules and alerts to optimize defense efficacy and operational signal to noise ratios. AI Tooling & Automation: Proficiency in Python, Go, or Bash to automate network security workflows, with demonstrated experience leveraging AI/ML models or LLM APIs to build automated troubleshooting diagnostics and dynamic threat mitigations. System Literacy: Experience with monitoring platforms (e.g., Prometheus/Grafana) and querying large network datasets to operationalize contextual routing and security data. Certifications: Advanced networking and network security credentials such as Cisco CCNP, CCNP Security, or CCIE are highly valued. What Makes Cloudflare Special? We're not just a highly ambitious, large scale technology company. We're a highly ambitious, large scale technology company with a soul . click apply for full job details
Principal Process Engineer - UK Water/Wastewater Water Wastewater Biosolids/Sludge AMP 8 SROs MEP Led Team Shape the Future of Water Infrastructure with Egis London Bristol Manchester (Hybrid) Process Engineering Design UK Wide Impact High Growth Environment Egis is expanding rapidly in the UK, backed by a global team of more than 23,500 experts across 70+ countries. We design and deliver intelligent, sustainable infrastructure to address climate challenges and strengthen community resilience. As part of our fast growing UK Water team, you will join an agile environment where progression is quick, visibility is high, and your impact is immediate. About the Role The UK water sector is entering a period of unprecedented investment and transformation. As Egis accelerates the growth of its Water Business in the UK, we are building a high-performing Process Engineering team to help shape this next chapter. We are inviting applicants who want to play a meaningful role in delivering major water and wastewater programmes in the UK municipal and industrial sectors. Working within a collaborative, multidisciplinary environment, you will contribute to technically robust, sustainable and innovative treatment solutions across nationally significant projects. This is a rare opportunity to join at a key stage of our UK growth journey, helping to establish, shape and expand a process engineering capability built on Egis' global infrastructure expertise and long term commitment to the sector. Key Responsibilities Lead process design delivery on multidisciplinary water/wastewater treatment projects across the full design lifecycle. Act as process technical lead on projects, owning design strategy, treatment process selection, key decisions, interfaces, risks and quality of deliverables. Review and approve process calculations, mass balances, PFDs, P&IDs, basis of design reports, specifications, technical notes, models and supplier/contractor submissions. Lead process modelling and simulation activities using tools such as BioWin, SUMO, Dynamizu or equivalent packages. Lead optioneering, process capacity assessments, value engineering, design reviews, HAZOP/SWIFT, commissioning strategy and performance testing input. Drive multidisciplinary coordination across Mechanical, EICA, civil/structural, architectural, MEP, construction, commissioning and operations teams. Promote lean and digitally enabled delivery through standardised tools, process models, automation, data analysis and reusable templates. Provide technical assurance and support project managers with technical risk, scope, resourcing, programme and change control. Mentor and manage engineers where appropriate, supporting recruitment, development and chartership progression. Contribute to bids, client engagement, opportunity shaping and growth of the process capability. Qualifications Minimum Requirements BEng/MEng or equivalent in Chemical Engineering, Process Engineering or closely related discipline. Chartered Engineer or Incorporated Engineer status with a relevant professional institution, such as IChemE. Typically 8-10+ years' relevant process design experience. Background must be from water, wastewater and/or biosolids/sludge treatment design. Proven ability to act as process discipline lead or senior technical lead on multidisciplinary projects. Strong technical expertise in water/wastewater treatment process design, including process selection, mass balance, process capacity, PFDs, P&IDs and design basis development. Practical experience using process modelling/simulation packages such as BioWin, SUMO, Dynamizu or equivalent. Strong understanding of UK water industry standards, CDM 2015, process safety, safety by design, regulatory drivers and common delivery models. Confident client facing communicator with experience leading workshops, technical reviews and design discussions. Experience mentoring or managing engineers and supporting technical capability development. Desirable Skills / Knowledge Deep experience in wastewater treatment, clean water treatment, sludge/bioresources, nutrient removal, water reuse/recycling, process optimisation, chemical dosing, energy recovery or low carbon design. Experience delivering AMP8, WINEP, SRO, D&B, framework, alliance or contractor led projects. Advanced capability in BioWin, SUMO, Dynamizu, process model calibration, scenario testing, dynamic simulation or operational optimisation. Experience developing process design standards, calculation tools, modelling workflows, QA processes or reusable digital templates. Experience contributing to recruitment, resource planning, bid writing, technical proposals, client presentations or new service development. Please note that you must have the right to work in the UK to be considered for this position. Additional Information What's in It for You? An exciting new growth role in a fast organic growing UK business, offering clear and accelerated career progression Top Employers 2025 - Egis recognised across four continents for excellence in HR practices, having been awarded the prestigious Top Employer 2025 certification. Top Employers Institute is the global authority on recognising excellence in people practices. A global leader in green infrastructure - we're proud to lead the way in sustainable infrastructure, mobility and energy, innovating across the entire value chain and every aspect of the built environment. Highly competitive reward package Hybrid and flexible working 26+ days annual leave plus bank holidays Professional development, chartership support & global mobility Supportive, inclusive culture driven by sustainability and long term community impact Ready to Lead? Join Egis and play a pivotal role in shaping the future of sustainable water infrastructure across the UK. We are committed to our planet In each project we design, engineer and operate we care deeply about the legacy we're leaving behind. As part of our team, you'll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe. Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one's contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.
Sep 23, 2026
Full time
Principal Process Engineer - UK Water/Wastewater Water Wastewater Biosolids/Sludge AMP 8 SROs MEP Led Team Shape the Future of Water Infrastructure with Egis London Bristol Manchester (Hybrid) Process Engineering Design UK Wide Impact High Growth Environment Egis is expanding rapidly in the UK, backed by a global team of more than 23,500 experts across 70+ countries. We design and deliver intelligent, sustainable infrastructure to address climate challenges and strengthen community resilience. As part of our fast growing UK Water team, you will join an agile environment where progression is quick, visibility is high, and your impact is immediate. About the Role The UK water sector is entering a period of unprecedented investment and transformation. As Egis accelerates the growth of its Water Business in the UK, we are building a high-performing Process Engineering team to help shape this next chapter. We are inviting applicants who want to play a meaningful role in delivering major water and wastewater programmes in the UK municipal and industrial sectors. Working within a collaborative, multidisciplinary environment, you will contribute to technically robust, sustainable and innovative treatment solutions across nationally significant projects. This is a rare opportunity to join at a key stage of our UK growth journey, helping to establish, shape and expand a process engineering capability built on Egis' global infrastructure expertise and long term commitment to the sector. Key Responsibilities Lead process design delivery on multidisciplinary water/wastewater treatment projects across the full design lifecycle. Act as process technical lead on projects, owning design strategy, treatment process selection, key decisions, interfaces, risks and quality of deliverables. Review and approve process calculations, mass balances, PFDs, P&IDs, basis of design reports, specifications, technical notes, models and supplier/contractor submissions. Lead process modelling and simulation activities using tools such as BioWin, SUMO, Dynamizu or equivalent packages. Lead optioneering, process capacity assessments, value engineering, design reviews, HAZOP/SWIFT, commissioning strategy and performance testing input. Drive multidisciplinary coordination across Mechanical, EICA, civil/structural, architectural, MEP, construction, commissioning and operations teams. Promote lean and digitally enabled delivery through standardised tools, process models, automation, data analysis and reusable templates. Provide technical assurance and support project managers with technical risk, scope, resourcing, programme and change control. Mentor and manage engineers where appropriate, supporting recruitment, development and chartership progression. Contribute to bids, client engagement, opportunity shaping and growth of the process capability. Qualifications Minimum Requirements BEng/MEng or equivalent in Chemical Engineering, Process Engineering or closely related discipline. Chartered Engineer or Incorporated Engineer status with a relevant professional institution, such as IChemE. Typically 8-10+ years' relevant process design experience. Background must be from water, wastewater and/or biosolids/sludge treatment design. Proven ability to act as process discipline lead or senior technical lead on multidisciplinary projects. Strong technical expertise in water/wastewater treatment process design, including process selection, mass balance, process capacity, PFDs, P&IDs and design basis development. Practical experience using process modelling/simulation packages such as BioWin, SUMO, Dynamizu or equivalent. Strong understanding of UK water industry standards, CDM 2015, process safety, safety by design, regulatory drivers and common delivery models. Confident client facing communicator with experience leading workshops, technical reviews and design discussions. Experience mentoring or managing engineers and supporting technical capability development. Desirable Skills / Knowledge Deep experience in wastewater treatment, clean water treatment, sludge/bioresources, nutrient removal, water reuse/recycling, process optimisation, chemical dosing, energy recovery or low carbon design. Experience delivering AMP8, WINEP, SRO, D&B, framework, alliance or contractor led projects. Advanced capability in BioWin, SUMO, Dynamizu, process model calibration, scenario testing, dynamic simulation or operational optimisation. Experience developing process design standards, calculation tools, modelling workflows, QA processes or reusable digital templates. Experience contributing to recruitment, resource planning, bid writing, technical proposals, client presentations or new service development. Please note that you must have the right to work in the UK to be considered for this position. Additional Information What's in It for You? An exciting new growth role in a fast organic growing UK business, offering clear and accelerated career progression Top Employers 2025 - Egis recognised across four continents for excellence in HR practices, having been awarded the prestigious Top Employer 2025 certification. Top Employers Institute is the global authority on recognising excellence in people practices. A global leader in green infrastructure - we're proud to lead the way in sustainable infrastructure, mobility and energy, innovating across the entire value chain and every aspect of the built environment. Highly competitive reward package Hybrid and flexible working 26+ days annual leave plus bank holidays Professional development, chartership support & global mobility Supportive, inclusive culture driven by sustainability and long term community impact Ready to Lead? Join Egis and play a pivotal role in shaping the future of sustainable water infrastructure across the UK. We are committed to our planet In each project we design, engineer and operate we care deeply about the legacy we're leaving behind. As part of our team, you'll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe. Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one's contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.
Head of Data - Hybrid Working Central Birmingham Competitive Salary + Benefits Lead the Future of Data, Analytics & AI Are you a strategic data leader who still enjoys getting hands-on with technology? Do you want the opportunity to build, shape and lead a modern data function while driving innovation through AI, analytics and cloud technologies? Our client is looking for an ambitious and forward-thinking Head of Data to join their our growing organisation and help transform the way we use data to drive business performance, client outcomes and future growth. This is an exciting opportunity to join a successful and rapidly expanding business of approximately 80 employees with annual turnover exceeding 10 million. Reporting directly to the senior leadership team, you'll play a key role in defining and delivering our data and AI vision while leading a talented team of data professionals. This is far more than a management position. We are looking for someone who can combine strategic leadership with technical expertise, remaining actively involved in architecture, solution design, platform development and innovation. The Opportunity As Head of Data, you will take ownership of our data strategy, modern data platform, analytics capability and AI roadmap. You'll work closely with business leaders across the organisation to unlock the value of data, improve decision-making, enhance operational efficiency and identify opportunities for growth. Leading a team of data specialists within a wider technology team, you'll help create a culture where data becomes a genuine competitive advantage. What You'll Be Doing Strategic Leadership Define and deliver the company's Data & AI Strategy. Build a roadmap that supports business growth and innovation. Partner with senior stakeholders to drive data-led decision-making. Establish data as a key strategic asset across the organisation. Identify opportunities to leverage AI, automation and emerging technologies. Data Engineering & Architecture Design and lead the development of modern cloud-based data platforms. Build scalable data lakes, lakehouses and analytics solutions. Ensure solutions are secure, resilient and future-ready. Remain hands-on with architecture, technical design and implementation. Provide technical leadership across complex data initiatives. AI & Innovation Drive the adoption of Generative AI, Machine Learning and Intelligent Automation. Develop innovative solutions that create measurable business value. Evaluate emerging technologies and identify practical commercial applications. Embed responsible AI governance and best practice across the organisation. Business Intelligence & Analytics Enhance reporting, dashboards and KPI frameworks. Deliver actionable insights that support operational and commercial success. Promote self-service analytics capabilities across the business. Develop advanced analytics and predictive reporting capabilities. Team Leadership Lead, mentor and develop a team of data professionals. Create a high-performance culture focused on innovation and continuous improvement. Manage priorities, workload and professional development. Help shape and grow the future data function. What We're Looking For Essential Experience You will bring: Significant experience in Data Engineering, Data Architecture, Analytics or Data Leadership roles. A proven track record of leading technical data teams. Experience delivering data transformation programmes and enterprise-scale data platforms. Strong expertise in Microsoft cloud data technologies. Experience implementing Data Governance and Data Quality frameworks. Demonstrable success delivering AI, Machine Learning or Advanced Analytics initiatives. Excellent stakeholder management and communication skills. Experience operating in fast-paced, growing organisations. Strong commercial awareness with a focus on business outcomes. Technical Expertise We would expect experience across many of the following: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Services Power BI SQL Python Lakehouse Architecture Data Governance Data Modelling Cloud Data Platforms AI & Machine Learning DataOps / DevOps Who Will Succeed in This Role? You are someone who can confidently present a data strategy to the Board in the morning and review architecture designs with engineers in the afternoon. You enjoy leading from the front, remain curious about emerging technologies and are passionate about turning ideas into tangible business value. You'll thrive in an entrepreneurial environment where innovation is encouraged, bureaucracy is low and your work will have a direct impact on the future success of the organisation. Why Join ? Key leadership role with significant influence across the business Opportunity to shape and lead the Data & AI strategy Modern Microsoft technology stack including Fabric, Azure and Power BI Freedom to introduce new technologies and innovative approaches Hybrid working based in Central Birmingham Growing company with ambitious plans and strong investment in technology Opportunity to build a genuine centre of excellence for data and AI Ready to lead our data transformation journey? If you're a hands-on data leader who combines strategic thinking, technical excellence and a passion for innovation, we'd love to hear from you. Apply now to help shape the future of data, analytics and AI within a growing and ambitious organisation. All our roles are UK based. When submitting your application to Colossus, please ensure the following Your CV has your address and postcode. You also have your correct phone number and email address so we can contact you asap regarding your application.
Sep 22, 2026
Full time
Head of Data - Hybrid Working Central Birmingham Competitive Salary + Benefits Lead the Future of Data, Analytics & AI Are you a strategic data leader who still enjoys getting hands-on with technology? Do you want the opportunity to build, shape and lead a modern data function while driving innovation through AI, analytics and cloud technologies? Our client is looking for an ambitious and forward-thinking Head of Data to join their our growing organisation and help transform the way we use data to drive business performance, client outcomes and future growth. This is an exciting opportunity to join a successful and rapidly expanding business of approximately 80 employees with annual turnover exceeding 10 million. Reporting directly to the senior leadership team, you'll play a key role in defining and delivering our data and AI vision while leading a talented team of data professionals. This is far more than a management position. We are looking for someone who can combine strategic leadership with technical expertise, remaining actively involved in architecture, solution design, platform development and innovation. The Opportunity As Head of Data, you will take ownership of our data strategy, modern data platform, analytics capability and AI roadmap. You'll work closely with business leaders across the organisation to unlock the value of data, improve decision-making, enhance operational efficiency and identify opportunities for growth. Leading a team of data specialists within a wider technology team, you'll help create a culture where data becomes a genuine competitive advantage. What You'll Be Doing Strategic Leadership Define and deliver the company's Data & AI Strategy. Build a roadmap that supports business growth and innovation. Partner with senior stakeholders to drive data-led decision-making. Establish data as a key strategic asset across the organisation. Identify opportunities to leverage AI, automation and emerging technologies. Data Engineering & Architecture Design and lead the development of modern cloud-based data platforms. Build scalable data lakes, lakehouses and analytics solutions. Ensure solutions are secure, resilient and future-ready. Remain hands-on with architecture, technical design and implementation. Provide technical leadership across complex data initiatives. AI & Innovation Drive the adoption of Generative AI, Machine Learning and Intelligent Automation. Develop innovative solutions that create measurable business value. Evaluate emerging technologies and identify practical commercial applications. Embed responsible AI governance and best practice across the organisation. Business Intelligence & Analytics Enhance reporting, dashboards and KPI frameworks. Deliver actionable insights that support operational and commercial success. Promote self-service analytics capabilities across the business. Develop advanced analytics and predictive reporting capabilities. Team Leadership Lead, mentor and develop a team of data professionals. Create a high-performance culture focused on innovation and continuous improvement. Manage priorities, workload and professional development. Help shape and grow the future data function. What We're Looking For Essential Experience You will bring: Significant experience in Data Engineering, Data Architecture, Analytics or Data Leadership roles. A proven track record of leading technical data teams. Experience delivering data transformation programmes and enterprise-scale data platforms. Strong expertise in Microsoft cloud data technologies. Experience implementing Data Governance and Data Quality frameworks. Demonstrable success delivering AI, Machine Learning or Advanced Analytics initiatives. Excellent stakeholder management and communication skills. Experience operating in fast-paced, growing organisations. Strong commercial awareness with a focus on business outcomes. Technical Expertise We would expect experience across many of the following: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Services Power BI SQL Python Lakehouse Architecture Data Governance Data Modelling Cloud Data Platforms AI & Machine Learning DataOps / DevOps Who Will Succeed in This Role? You are someone who can confidently present a data strategy to the Board in the morning and review architecture designs with engineers in the afternoon. You enjoy leading from the front, remain curious about emerging technologies and are passionate about turning ideas into tangible business value. You'll thrive in an entrepreneurial environment where innovation is encouraged, bureaucracy is low and your work will have a direct impact on the future success of the organisation. Why Join ? Key leadership role with significant influence across the business Opportunity to shape and lead the Data & AI strategy Modern Microsoft technology stack including Fabric, Azure and Power BI Freedom to introduce new technologies and innovative approaches Hybrid working based in Central Birmingham Growing company with ambitious plans and strong investment in technology Opportunity to build a genuine centre of excellence for data and AI Ready to lead our data transformation journey? If you're a hands-on data leader who combines strategic thinking, technical excellence and a passion for innovation, we'd love to hear from you. Apply now to help shape the future of data, analytics and AI within a growing and ambitious organisation. All our roles are UK based. When submitting your application to Colossus, please ensure the following Your CV has your address and postcode. You also have your correct phone number and email address so we can contact you asap regarding your application.
As a Solution Architect, you'll play a pivotal role in defining and delivering technology strategies and roadmaps across enterprise applications and operational support services. This is a senior individual contributor role which will require team management responsibilities and offers the opportunity to influence at scale and work across a wide range of stakeholders and technologies. - Shape the future of Enterprise AI Artificial Intelligence is transforming the way organisations operate, and at ITH Group we are building the architecture that will power the next generation of intelligent products, services and internal capabilities. We are looking for an experienced AI Architect who enjoys solving complex technical problems while staying close to delivery. This is a genuinely hands on role where you will design enterprise AI solutions, partner with senior stakeholders across the business and work alongside engineering teams to bring modern AI capabilities into production. It is a fantastic opportunity to play a key role in shaping how AI is adopted, influencing architectural direction and collaborating with talented specialists who are passionate about delivering AI responsibly and at scale. If you are looking for a role where you can combine deep technical expertise with meaningful business impact, we would love to hear from you. - Key Responsibilities Architect Agentic Solutions: Design enterprise cloud applications, specializing in agentic AI platform components (orchestration, memory, tool integration, identity, guardrails, observability) and emerging Agentic Commerce. Lead Clients & Drive Growth: Serve as an outward-facing, energetic leader who runs workshops, participates in governance, and collaborates with business streams to identify and shape technical growth opportunities. Hands-on Delivery & Mentorship: Remain close to the detail by proving solutions, reviewing code, and mentoring engineering teams to set a high bar for quality, automation, and best practices. What you'll be doing Technical Leadership & Governance: Act as the group's senior authority on complex cloud architectures (esp. AWS serverless). Establish technical governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape, and pitch technical solutions to drive business growth. Hands-on Engineering & Delivery: Provide hands-on technical ownership by proving solutions, reviewing code, and designing robust API/integration patterns. Champion a quality-first mindset using Infrastructure-as-Code (IaC), CI/CD, and automation. Capability Building: Mentor engineers and architects, share knowledge on emerging technologies, and raise the overall technical bar across the ITH Group. What we want from you Leadership & Consulting: Senior/Principal architect with experience in NHS/Healthcare, skilled at leading development teams, guiding clients through workshops, and identifying business growth opportunities. AWS & Serverless Architecture: Deep hands-on expertise in designing, documenting, and delivering resilient, high-availability enterprise applications on AWS (including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict quality-first mindset (unit testing, automated tooling). Communication & Collaboration: Proactive, energetic collaborator with excellent written, verbal, and diagrammatic skills capable of translating complex technical concepts for senior stakeholders.
Sep 21, 2026
Full time
As a Solution Architect, you'll play a pivotal role in defining and delivering technology strategies and roadmaps across enterprise applications and operational support services. This is a senior individual contributor role which will require team management responsibilities and offers the opportunity to influence at scale and work across a wide range of stakeholders and technologies. - Shape the future of Enterprise AI Artificial Intelligence is transforming the way organisations operate, and at ITH Group we are building the architecture that will power the next generation of intelligent products, services and internal capabilities. We are looking for an experienced AI Architect who enjoys solving complex technical problems while staying close to delivery. This is a genuinely hands on role where you will design enterprise AI solutions, partner with senior stakeholders across the business and work alongside engineering teams to bring modern AI capabilities into production. It is a fantastic opportunity to play a key role in shaping how AI is adopted, influencing architectural direction and collaborating with talented specialists who are passionate about delivering AI responsibly and at scale. If you are looking for a role where you can combine deep technical expertise with meaningful business impact, we would love to hear from you. - Key Responsibilities Architect Agentic Solutions: Design enterprise cloud applications, specializing in agentic AI platform components (orchestration, memory, tool integration, identity, guardrails, observability) and emerging Agentic Commerce. Lead Clients & Drive Growth: Serve as an outward-facing, energetic leader who runs workshops, participates in governance, and collaborates with business streams to identify and shape technical growth opportunities. Hands-on Delivery & Mentorship: Remain close to the detail by proving solutions, reviewing code, and mentoring engineering teams to set a high bar for quality, automation, and best practices. What you'll be doing Technical Leadership & Governance: Act as the group's senior authority on complex cloud architectures (esp. AWS serverless). Establish technical governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape, and pitch technical solutions to drive business growth. Hands-on Engineering & Delivery: Provide hands-on technical ownership by proving solutions, reviewing code, and designing robust API/integration patterns. Champion a quality-first mindset using Infrastructure-as-Code (IaC), CI/CD, and automation. Capability Building: Mentor engineers and architects, share knowledge on emerging technologies, and raise the overall technical bar across the ITH Group. What we want from you Leadership & Consulting: Senior/Principal architect with experience in NHS/Healthcare, skilled at leading development teams, guiding clients through workshops, and identifying business growth opportunities. AWS & Serverless Architecture: Deep hands-on expertise in designing, documenting, and delivering resilient, high-availability enterprise applications on AWS (including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict quality-first mindset (unit testing, automated tooling). Communication & Collaboration: Proactive, energetic collaborator with excellent written, verbal, and diagrammatic skills capable of translating complex technical concepts for senior stakeholders.
Location: This is a hybrid remote/in-office role. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FRTT8, DSY.PA), Medidata is headquartered in New York City and has been recognised as a Leader by Everest Group and IDC. Discover more at . Listen to our latest podcast, from Dreamers to Disruptors, and follow us Our team At the heart of Medidata's ecosystem, the Data Platform Team powers and connects every application, serving as the engine for enterprise data convergence. Every interaction across our global platform generates critical data-and our mission is to transform that raw information into high-impact insights. Operating on a Data-as-a-Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials and life-saving operational outcomes globally. Modern Distributed Stack: Build at the intersection of real-time event streaming pipelines, scalable cloud data warehouses, and enterprise-grade automated data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What will you do Reporting to a Director of Engineering, as a Principal Data Engineer / Architect, you will lead the strategic vision and hands-on execution of our next-generation Object-Centric Data Fabric. You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data-including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role, AI augmentation is natively woven into your workflow. It acts as a force multiplier to automate routine mapping, query optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-Throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services in Java or Scala, leveraging AI coding assistants for rapid code generation, refactoring, and performance tuning. Technical Strategy & Database Optimization: Promote technical direction and engineering best practices across teams for Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies in real-time and automatically map safety signals back to operational trial datasets. Quality & AI-Driven Compliance: Lead Test-Driven Development (TDD) and Behavior-Driven Development (BDD) initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments and implement resilient, self-healing pipeline architectures. Key Business Value & Strategic Impact Your leadership will directly advance life sciences technology. By pairing modern lakehouse architecture (Snowflake, Apache Iceberg, Kafka) with AI-augmented workflows, you will empower our platform to process critical safety signals in hours rather than weeks. This enables adaptive clinical trial execution, guarantees zero-loss data integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg. Software Engineering & Streaming: Demonstrated expertise building production backend services in Java or Scala on AWS, alongside deep familiarity with real-time streaming architectures (e.g., Apache Kafka) and modern data engineering design patterns. AI-Augmented Engineering Proficiency: Active, practical experience integrating AI developer tools (e.g., GitHub Copilot, Cursor) into daily workflows to accelerate SQL query generation, code refactoring, automated testing, and technical documentation drafting. Engineering Rigor & Methodologies: Proven command of Git revision control, CI/CD pipeline automation, and TDD/BDD practices, augmented by AI-driven test case generation and quality checks. Domain & Regulatory Awareness: Strong foundational understanding of clinical trial data workflows (e.g., EDC architectures), healthcare data models, and life science compliance standards (GxP, HIPAA, GDPR), with the ability to apply AI/ML tools for schema mapping and zero-loss data integrity verification. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognise employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance; a generous pension; and 25+ paid holidays per year. Inclusion statement As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it's our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future. MEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.
Sep 21, 2026
Full time
Location: This is a hybrid remote/in-office role. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FRTT8, DSY.PA), Medidata is headquartered in New York City and has been recognised as a Leader by Everest Group and IDC. Discover more at . Listen to our latest podcast, from Dreamers to Disruptors, and follow us Our team At the heart of Medidata's ecosystem, the Data Platform Team powers and connects every application, serving as the engine for enterprise data convergence. Every interaction across our global platform generates critical data-and our mission is to transform that raw information into high-impact insights. Operating on a Data-as-a-Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials and life-saving operational outcomes globally. Modern Distributed Stack: Build at the intersection of real-time event streaming pipelines, scalable cloud data warehouses, and enterprise-grade automated data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What will you do Reporting to a Director of Engineering, as a Principal Data Engineer / Architect, you will lead the strategic vision and hands-on execution of our next-generation Object-Centric Data Fabric. You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data-including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role, AI augmentation is natively woven into your workflow. It acts as a force multiplier to automate routine mapping, query optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-Throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services in Java or Scala, leveraging AI coding assistants for rapid code generation, refactoring, and performance tuning. Technical Strategy & Database Optimization: Promote technical direction and engineering best practices across teams for Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies in real-time and automatically map safety signals back to operational trial datasets. Quality & AI-Driven Compliance: Lead Test-Driven Development (TDD) and Behavior-Driven Development (BDD) initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments and implement resilient, self-healing pipeline architectures. Key Business Value & Strategic Impact Your leadership will directly advance life sciences technology. By pairing modern lakehouse architecture (Snowflake, Apache Iceberg, Kafka) with AI-augmented workflows, you will empower our platform to process critical safety signals in hours rather than weeks. This enables adaptive clinical trial execution, guarantees zero-loss data integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg. Software Engineering & Streaming: Demonstrated expertise building production backend services in Java or Scala on AWS, alongside deep familiarity with real-time streaming architectures (e.g., Apache Kafka) and modern data engineering design patterns. AI-Augmented Engineering Proficiency: Active, practical experience integrating AI developer tools (e.g., GitHub Copilot, Cursor) into daily workflows to accelerate SQL query generation, code refactoring, automated testing, and technical documentation drafting. Engineering Rigor & Methodologies: Proven command of Git revision control, CI/CD pipeline automation, and TDD/BDD practices, augmented by AI-driven test case generation and quality checks. Domain & Regulatory Awareness: Strong foundational understanding of clinical trial data workflows (e.g., EDC architectures), healthcare data models, and life science compliance standards (GxP, HIPAA, GDPR), with the ability to apply AI/ML tools for schema mapping and zero-loss data integrity verification. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognise employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance; a generous pension; and 25+ paid holidays per year. Inclusion statement As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it's our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future. MEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.
About The Role FDM is a global business and technology consultancy seeking a Technical Business Analyst to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in London, Edinburgh or Bristol. Our client is seeking a Technical Business Analyst who bridges business, technology, cyber security, fraud operations, data and risk teams. The role translates strategic outcomes and operational needs into clear product, data, control and engineering requirements for the Fraud & Security Value Stream. The role supports the design, implementation and continuous improvement of AI-enabled capabilities that strengthen fraud detection, cyber defence, security observability, operational resilience and AI governance. It maintains alignment between business priorities, delivery outcomes, control obligations and technical implementation throughout the lifecycle of each initiative. Responsibilities Analyse and document business, operational, regulatory and technical requirements. Facilitate workshops. Translate outcomes into ADO epics, features, user stories and acceptance criteria. Maintain end-to-end traceability and support prioritisation Identify and shape opportunities across threat detection, alert triage, investigation, case management, orchestration, fraud analytics, resilience and AI governance monitoring. Define workflows, business rules, exception handling, decision boundaries and human oversight. Define data requirements, authoritative sources, ownership, lineage, quality, access and retention needs. Produce mappings, dictionaries and data-flow views. Work with data and engineering teams to confirm readiness. Embed secure-by-design and responsible AI requirements. Document control, privacy, compliance, auditability, observability and governance-gate evidence. Support risk assessments and production-readiness reviews. Partner with architects, product leads, engineers and platform teams. Support backlog refinement, dependency management, sprint planning, testing, release and operational readiness. Maintain assumptions, risks, issues and decisions. Define baselines, outcomes and KPIs for fraud, cyber and operational use cases. Support benefits tracking, dashboards, post-implementation review and continuous improvement. About You At least five years of business analysis or technical business analysis experience. Experience delivering technology-enabled transformation. Experience translating complex business and control needs into technical requirements. Experience working in Agile or iterative delivery environments. Strong stakeholder management across business and technology teams. Experience supporting testing, operational readiness and adoption. Technical and Professional Skills Requirements elicitation and traceability. Process modelling and workshop facilitation. Data analysis, data mapping and integration concepts. API, cloud, analytics and security-monitoring concepts. Agile backlog management and testing methods. Risk, control and audit documentation. Clear written and executive communication Desirable Experience Experience in cyber security, fraud, risk, operational resilience or financial services. Experience delivering AI, machine learning, analytics or intelligent automation capabilities. Experience with cloud and data platforms, preferably Microsoft Azure. Knowledge of security operations, fraud operations, SIEM/XDR, case management or orchestration. Knowledge of responsible AI and AI governance practices. About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension
Sep 18, 2026
Full time
About The Role FDM is a global business and technology consultancy seeking a Technical Business Analyst to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in London, Edinburgh or Bristol. Our client is seeking a Technical Business Analyst who bridges business, technology, cyber security, fraud operations, data and risk teams. The role translates strategic outcomes and operational needs into clear product, data, control and engineering requirements for the Fraud & Security Value Stream. The role supports the design, implementation and continuous improvement of AI-enabled capabilities that strengthen fraud detection, cyber defence, security observability, operational resilience and AI governance. It maintains alignment between business priorities, delivery outcomes, control obligations and technical implementation throughout the lifecycle of each initiative. Responsibilities Analyse and document business, operational, regulatory and technical requirements. Facilitate workshops. Translate outcomes into ADO epics, features, user stories and acceptance criteria. Maintain end-to-end traceability and support prioritisation Identify and shape opportunities across threat detection, alert triage, investigation, case management, orchestration, fraud analytics, resilience and AI governance monitoring. Define workflows, business rules, exception handling, decision boundaries and human oversight. Define data requirements, authoritative sources, ownership, lineage, quality, access and retention needs. Produce mappings, dictionaries and data-flow views. Work with data and engineering teams to confirm readiness. Embed secure-by-design and responsible AI requirements. Document control, privacy, compliance, auditability, observability and governance-gate evidence. Support risk assessments and production-readiness reviews. Partner with architects, product leads, engineers and platform teams. Support backlog refinement, dependency management, sprint planning, testing, release and operational readiness. Maintain assumptions, risks, issues and decisions. Define baselines, outcomes and KPIs for fraud, cyber and operational use cases. Support benefits tracking, dashboards, post-implementation review and continuous improvement. About You At least five years of business analysis or technical business analysis experience. Experience delivering technology-enabled transformation. Experience translating complex business and control needs into technical requirements. Experience working in Agile or iterative delivery environments. Strong stakeholder management across business and technology teams. Experience supporting testing, operational readiness and adoption. Technical and Professional Skills Requirements elicitation and traceability. Process modelling and workshop facilitation. Data analysis, data mapping and integration concepts. API, cloud, analytics and security-monitoring concepts. Agile backlog management and testing methods. Risk, control and audit documentation. Clear written and executive communication Desirable Experience Experience in cyber security, fraud, risk, operational resilience or financial services. Experience delivering AI, machine learning, analytics or intelligent automation capabilities. Experience with cloud and data platforms, preferably Microsoft Azure. Knowledge of security operations, fraud operations, SIEM/XDR, case management or orchestration. Knowledge of responsible AI and AI governance practices. About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension
Job Description We're seeking a future team member for the role of Vice President, Full-Stack Engineer to join our team. Wealth Services Platform, a business unit within BNY, is a leading provider of financial business solutions for Wealth Managers / RIAs. We offer industry leading custody, advisory, portfolio management, trading and banking services as a white labeled software platform for our clients to serve their clients. Our commitment to excellence and innovation drives our mission to empower our clients with cutting edge technology and services. We're seeking a future team member for the role of Vice President, Full-Stack Engineer to join our team. Wealth Services Platform, a business unit within BNY, is a leading provider of financial business solutions for Wealth Managers / RIAs. We offer industry leading custody, advisory, portfolio management, trading and banking services as a white labeled software platform for our clients to serve their clients. Our commitment to excellence and innovation drives our mission to empower our clients with cutting edge technology and services. In this role, you'll make an impact in the following ways: Serve as a hands on full stack developer, directly designing, building, testing, and deploying applications aligned with business needs. Write high quality, maintainable code across the front end and back end, actively contributing to core project deliverables. Collaborate with cross functional teams including product, operations, and security to deliver practical, scalable solutions. Lead by example through technical execution, driving best practices in coding, testing, debugging, and deployment to ensure high quality software delivery. Explore and implement opportunities to streamline the software development lifecycle through automation, modern engineering practices, and intelligent tooling. Participate actively in code reviews, troubleshooting, and debugging efforts, helping resolve complex technical issues quickly and effectively. Contribute to architectural decisions and technology strategy with a pragmatic, builder focused mindset grounded in hands on development experience. Mentor and guide junior developers through day to day technical leadership, pairing, code review, and knowledge sharing. Ensure applications meet security, compliance, performance, and reliability standards. Help manage project timelines and deliverables in partnership with stakeholders, while remaining deeply involved in execution. Balance leadership responsibilities with direct technical contribution, operating as a doer who helps move work forward. To be successful in this role, we're seeking the following: Bachelor's degree in computer science, Engineering, or related field Experience in full stack software development required. Finance domain experience is preferred Solid experience with .NET/C# and SQL Server for building enterprise grade applications and data access layers Strong understanding of REST APIs, cloud platforms, DevOps practices, and modern software development lifecycle processes. AI Agentic process engineering & skills Demonstrated ability to contribute directly in code, troubleshoot issues, and deliver production ready software in a fast paced environment. Experience with or strong interest in leveraging AI assisted development tools, automation, and engineering productivity practices to improve SDLC efficiency and delivery outcomes. Excellent problem solving, communication, and collaboration skills. Ability to work effectively in a fast paced, agile environment with a strong sense of ownership and execution. About Us At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary. About The Team At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY LinkedIn Here's a Few Of Our Recent Awards America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 Most Just Companies, Just Capital and CNBC, 2025 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay for performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
Sep 18, 2026
Full time
Job Description We're seeking a future team member for the role of Vice President, Full-Stack Engineer to join our team. Wealth Services Platform, a business unit within BNY, is a leading provider of financial business solutions for Wealth Managers / RIAs. We offer industry leading custody, advisory, portfolio management, trading and banking services as a white labeled software platform for our clients to serve their clients. Our commitment to excellence and innovation drives our mission to empower our clients with cutting edge technology and services. We're seeking a future team member for the role of Vice President, Full-Stack Engineer to join our team. Wealth Services Platform, a business unit within BNY, is a leading provider of financial business solutions for Wealth Managers / RIAs. We offer industry leading custody, advisory, portfolio management, trading and banking services as a white labeled software platform for our clients to serve their clients. Our commitment to excellence and innovation drives our mission to empower our clients with cutting edge technology and services. In this role, you'll make an impact in the following ways: Serve as a hands on full stack developer, directly designing, building, testing, and deploying applications aligned with business needs. Write high quality, maintainable code across the front end and back end, actively contributing to core project deliverables. Collaborate with cross functional teams including product, operations, and security to deliver practical, scalable solutions. Lead by example through technical execution, driving best practices in coding, testing, debugging, and deployment to ensure high quality software delivery. Explore and implement opportunities to streamline the software development lifecycle through automation, modern engineering practices, and intelligent tooling. Participate actively in code reviews, troubleshooting, and debugging efforts, helping resolve complex technical issues quickly and effectively. Contribute to architectural decisions and technology strategy with a pragmatic, builder focused mindset grounded in hands on development experience. Mentor and guide junior developers through day to day technical leadership, pairing, code review, and knowledge sharing. Ensure applications meet security, compliance, performance, and reliability standards. Help manage project timelines and deliverables in partnership with stakeholders, while remaining deeply involved in execution. Balance leadership responsibilities with direct technical contribution, operating as a doer who helps move work forward. To be successful in this role, we're seeking the following: Bachelor's degree in computer science, Engineering, or related field Experience in full stack software development required. Finance domain experience is preferred Solid experience with .NET/C# and SQL Server for building enterprise grade applications and data access layers Strong understanding of REST APIs, cloud platforms, DevOps practices, and modern software development lifecycle processes. AI Agentic process engineering & skills Demonstrated ability to contribute directly in code, troubleshoot issues, and deliver production ready software in a fast paced environment. Experience with or strong interest in leveraging AI assisted development tools, automation, and engineering productivity practices to improve SDLC efficiency and delivery outcomes. Excellent problem solving, communication, and collaboration skills. Ability to work effectively in a fast paced, agile environment with a strong sense of ownership and execution. About Us At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary. About The Team At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY LinkedIn Here's a Few Of Our Recent Awards America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 Most Just Companies, Just Capital and CNBC, 2025 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay for performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.Why Join Us?To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.The RoleWe are looking for a Senior Engineering Manager to join Technology in London, building the next generation of one of the world's best-known travel brands.Our mission is to make distinctive, indispensable, and worth talking about - by relentlessly improving the marketplace fundamentals travelers expect, and then innovating well beyond those table stakes to delight and surprise them. Concretely, that means removing friction across the shopping funnel and holding an uncompromising bar for quality and reliability; earning more direct traveler relationships through clearly valuable, differentiated experiences surfaced at the right moments; and taking real swings on novel experiences that set the brand apart.This role is deliberately broad. Rather than owning a single fixed area, you will lead your team against the highest-leverage problems in the experience as our priorities evolve - shopping and conversion, traveler identity and loyalty, app and web experiences, and the platform capabilities underneath them. You will own technical direction and delivery for your team, drive system and API design for performance-critical, high-traffic customer-facing services, and partner closely with Product, Design, Data, Marketing, and Platform teams in small, end-to-end squads with clear ownership.This is a hands-on leadership role. We are not looking for a pure people manager: you are expected to stay technically current and close to the code - reviewing designs and pull requests, prototyping, debugging production issues alongside your engineers, and making credible technical calls yourself. Equally, you will deliberately upskill your engineers across domains and stacks, so the team can move to wherever the highest-value work is rather than being boxed into a single specialism.As a people-first leader, you will grow and support a high-performing team of engineers, balancing rapid delivery with platform health and long-term sustainability, while fostering a culture of safe AI/ML adoption, small experiments over long planning cycles, and strong engineering fundamentals.In this role, you will:Lead a software engineering team in designing, building, and operating highly available, performant, and secure customer-facing services, including system design (LLD), API design, and data modeling for complex traveler-facing capabilities.Stay hands-on: contribute directly to design reviews, code reviews, prototypes, and production debugging, setting the technical bar by example rather than by delegation alone.Work with your peers and your manager to shape technical strategy and long-term architecture for the areas you own, aligning engineering decisions with brand and business objectives, and re-pointing your team as priorities shift across the experience.Broaden your engineers' technical range - deliberately grow skills across domains, stacks, and disciplines so the team can take on new problem spaces quickly and is never limited to a single area.Hold an uncompromising bar for quality and reliability in the shopping funnel: set engineering quality and operational excellence standards, and ensure robust CI/CD, monitoring, alerting, and incident response practices are consistently applied.Move fast with incomplete information - make well-reasoned decisions without waiting for certainty or broad consensus, and validate assumptions through small, measurable experiments rather than long planning cycles.Hire, develop, and mentor engineers and managers, fostering a high-performing, inclusive culture focused on learning, accountability, and effective collaboration with product, design, data, and other partner organizations.Make AI and Machine Learning part of every mission - safely integrate and operate AI/ML-enabled solutions that measurably improve traveler outcomes and team velocity, applying AI/ML concepts to real-world products.Work with your peers to coordinate and prioritize delivery across workstreams, managing dependencies, risks, and cross-team integration to ensure coherent, timely delivery of end-to-end capabilities across product and domain contexts.Minimum Qualifications:Bachelor's Degree or Equivalent Level; Technical Degree Preferred.8+ years of relevant professional experience and 3+ years of people management experience.Experience managing engineering teams with end-to-end ownership of services or domains, including design, implementation, deployment, and ongoing operations for production services or multi-service systems.Currently hands-on and willing to remain so. You still write and review code, and can independently reason about designs, trade-offs, and production incidents. Candidates seeking a purely managerial, non-technical role are not a fit for this position.Strong proficiency in core software engineering practices, including object-oriented or functional programming, system design (LLD), API design, data modeling, testing strategies, and modern CI/CD pipelines.Demonstrated track record of growing engineers' technical skills, including coaching people into unfamiliar domains, stacks, or disciplines.Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, with the ability to guide teams in safely integrating and operating AI/ML-enabled solutions.Preferred Qualifications:Experience leading a broad technical area, setting technical direction, and driving architecture decisions for distributed systems at scale.Technical breadth across more than one stack or domain (for example backend and frontend, or web and native mobile), and a history of moving between them as needs change.Experience with high-traffic consumer e-commerce or marketplace experiences, and a track record of improving conversion, funnel quality, or customer engagement through experimentation.Demonstrated track record of improving system reliability, performance, and cost efficiency through data-driven decision making, experimentation, and continuous optimization.Proven ability to lead complex cross-team initiatives, align stakeholders across product and engineering, and deliver integrated solutions that span multiple services or domains.Experience defining and enforcing engineering standards for operational excellence, including observability, incident management, on-call practices, and post-incident operating in a fast-moving, evolving organization - able to take on ambiguous, high-priority problems and re-scope quickly as strategy sharpens.Advanced experience with safely integrating AI/ML-enabled capabilities into production systems at scale (such as personalization, ranking, recommendations, or intelligent automation), including governance, evaluation, and ongoing model-driven feature iteration, and providing strategic leadership on where and how to apply AI within your product and platform area.Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at .About Expedia GroupExpedia Group includes three flagship consumer brands - Expedia, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.Important noticeEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain The official place to find and apply for roles is .Equal OpportunityExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Sep 18, 2026
Full time
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.Why Join Us?To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.The RoleWe are looking for a Senior Engineering Manager to join Technology in London, building the next generation of one of the world's best-known travel brands.Our mission is to make distinctive, indispensable, and worth talking about - by relentlessly improving the marketplace fundamentals travelers expect, and then innovating well beyond those table stakes to delight and surprise them. Concretely, that means removing friction across the shopping funnel and holding an uncompromising bar for quality and reliability; earning more direct traveler relationships through clearly valuable, differentiated experiences surfaced at the right moments; and taking real swings on novel experiences that set the brand apart.This role is deliberately broad. Rather than owning a single fixed area, you will lead your team against the highest-leverage problems in the experience as our priorities evolve - shopping and conversion, traveler identity and loyalty, app and web experiences, and the platform capabilities underneath them. You will own technical direction and delivery for your team, drive system and API design for performance-critical, high-traffic customer-facing services, and partner closely with Product, Design, Data, Marketing, and Platform teams in small, end-to-end squads with clear ownership.This is a hands-on leadership role. We are not looking for a pure people manager: you are expected to stay technically current and close to the code - reviewing designs and pull requests, prototyping, debugging production issues alongside your engineers, and making credible technical calls yourself. Equally, you will deliberately upskill your engineers across domains and stacks, so the team can move to wherever the highest-value work is rather than being boxed into a single specialism.As a people-first leader, you will grow and support a high-performing team of engineers, balancing rapid delivery with platform health and long-term sustainability, while fostering a culture of safe AI/ML adoption, small experiments over long planning cycles, and strong engineering fundamentals.In this role, you will:Lead a software engineering team in designing, building, and operating highly available, performant, and secure customer-facing services, including system design (LLD), API design, and data modeling for complex traveler-facing capabilities.Stay hands-on: contribute directly to design reviews, code reviews, prototypes, and production debugging, setting the technical bar by example rather than by delegation alone.Work with your peers and your manager to shape technical strategy and long-term architecture for the areas you own, aligning engineering decisions with brand and business objectives, and re-pointing your team as priorities shift across the experience.Broaden your engineers' technical range - deliberately grow skills across domains, stacks, and disciplines so the team can take on new problem spaces quickly and is never limited to a single area.Hold an uncompromising bar for quality and reliability in the shopping funnel: set engineering quality and operational excellence standards, and ensure robust CI/CD, monitoring, alerting, and incident response practices are consistently applied.Move fast with incomplete information - make well-reasoned decisions without waiting for certainty or broad consensus, and validate assumptions through small, measurable experiments rather than long planning cycles.Hire, develop, and mentor engineers and managers, fostering a high-performing, inclusive culture focused on learning, accountability, and effective collaboration with product, design, data, and other partner organizations.Make AI and Machine Learning part of every mission - safely integrate and operate AI/ML-enabled solutions that measurably improve traveler outcomes and team velocity, applying AI/ML concepts to real-world products.Work with your peers to coordinate and prioritize delivery across workstreams, managing dependencies, risks, and cross-team integration to ensure coherent, timely delivery of end-to-end capabilities across product and domain contexts.Minimum Qualifications:Bachelor's Degree or Equivalent Level; Technical Degree Preferred.8+ years of relevant professional experience and 3+ years of people management experience.Experience managing engineering teams with end-to-end ownership of services or domains, including design, implementation, deployment, and ongoing operations for production services or multi-service systems.Currently hands-on and willing to remain so. You still write and review code, and can independently reason about designs, trade-offs, and production incidents. Candidates seeking a purely managerial, non-technical role are not a fit for this position.Strong proficiency in core software engineering practices, including object-oriented or functional programming, system design (LLD), API design, data modeling, testing strategies, and modern CI/CD pipelines.Demonstrated track record of growing engineers' technical skills, including coaching people into unfamiliar domains, stacks, or disciplines.Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, with the ability to guide teams in safely integrating and operating AI/ML-enabled solutions.Preferred Qualifications:Experience leading a broad technical area, setting technical direction, and driving architecture decisions for distributed systems at scale.Technical breadth across more than one stack or domain (for example backend and frontend, or web and native mobile), and a history of moving between them as needs change.Experience with high-traffic consumer e-commerce or marketplace experiences, and a track record of improving conversion, funnel quality, or customer engagement through experimentation.Demonstrated track record of improving system reliability, performance, and cost efficiency through data-driven decision making, experimentation, and continuous optimization.Proven ability to lead complex cross-team initiatives, align stakeholders across product and engineering, and deliver integrated solutions that span multiple services or domains.Experience defining and enforcing engineering standards for operational excellence, including observability, incident management, on-call practices, and post-incident operating in a fast-moving, evolving organization - able to take on ambiguous, high-priority problems and re-scope quickly as strategy sharpens.Advanced experience with safely integrating AI/ML-enabled capabilities into production systems at scale (such as personalization, ranking, recommendations, or intelligent automation), including governance, evaluation, and ongoing model-driven feature iteration, and providing strategic leadership on where and how to apply AI within your product and platform area.Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at .About Expedia GroupExpedia Group includes three flagship consumer brands - Expedia, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.Important noticeEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain The official place to find and apply for roles is .Equal OpportunityExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Job Title : Enterprise Architect - Banking Transformation, Cloud & AI Job Location :London, UK (4 days per week from office) Job Type: FTE Job Description : About the Role We are undertaking a significant transformation of the Bank and are reimagining how we build a genuinely modern, intelligent banking platform for the future. This transformation spans Payments, FX, Data, Cloud, and AI, and will redefine both our technology landscape and future operating model. This is a high-impact leadership role for an experienced Enterprise Architect who has successfully led large-scale banking transformations and can bridge the gap between strategic vision and practical execution. We're not seeking someone who governs architecture from the sidelines. We need a hands-on architectural leader who can shape the future direction of the Bank, challenge traditional thinking, and work closely with engineering and transformation teams to deliver tangible outcomes. A key aspect of this role is helping to define how emerging technologies, including AI, agentic architectures, intelligent orchestration, and automation, can be leveraged to create the next generation of banking capabilities. Key Responsibilities Define and own the Bank's end-to-end enterprise architecture strategy and roadmap. Establish architectural principles, standards, and target-state technology architectures across business and technology domains. Align technology investments with strategic business objectives and regulatory requirements. Proven experience leading enterprise architecture functions within banking or financial services. Demonstrated success delivering large-scale technology transformation programmes. Deep domain expertise in one or more of: Banking platforms Payments FX and Treasury systems High-volume transaction processing environments Strong understanding of both legacy and modern technology estates. Significant experience designing and implementing: Event-driven architectures Distributed systems Cloud-native solutions API ecosystems Experience working within highly regulated environments. Track record of influencing and partnering with executive-level stakeholders. Desired Experience Experience with multi-cloud environments (Azure, AWS, GCP). Knowledge of AI, Generative AI, Agentic AI frameworks, and intelligent automation. Experience defining target operating models and business capability architectures. Familiarity with data mesh, real-time analytics, and enterprise data platforms. Understanding of modern banking ecosystem trends, open banking, and embedded finance. Strategic thinking with strong execution focus. Exceptional stakeholder management and influencing skills. Strong leadership presence and communication abilities. Commercial and business acumen. Ability to navigate ambiguity and drive organizational change. Deep understanding of technology risk, security, and regulatory considerations. Passion for innovation and the future of AI-enabled banking
Sep 18, 2026
Full time
Job Title : Enterprise Architect - Banking Transformation, Cloud & AI Job Location :London, UK (4 days per week from office) Job Type: FTE Job Description : About the Role We are undertaking a significant transformation of the Bank and are reimagining how we build a genuinely modern, intelligent banking platform for the future. This transformation spans Payments, FX, Data, Cloud, and AI, and will redefine both our technology landscape and future operating model. This is a high-impact leadership role for an experienced Enterprise Architect who has successfully led large-scale banking transformations and can bridge the gap between strategic vision and practical execution. We're not seeking someone who governs architecture from the sidelines. We need a hands-on architectural leader who can shape the future direction of the Bank, challenge traditional thinking, and work closely with engineering and transformation teams to deliver tangible outcomes. A key aspect of this role is helping to define how emerging technologies, including AI, agentic architectures, intelligent orchestration, and automation, can be leveraged to create the next generation of banking capabilities. Key Responsibilities Define and own the Bank's end-to-end enterprise architecture strategy and roadmap. Establish architectural principles, standards, and target-state technology architectures across business and technology domains. Align technology investments with strategic business objectives and regulatory requirements. Proven experience leading enterprise architecture functions within banking or financial services. Demonstrated success delivering large-scale technology transformation programmes. Deep domain expertise in one or more of: Banking platforms Payments FX and Treasury systems High-volume transaction processing environments Strong understanding of both legacy and modern technology estates. Significant experience designing and implementing: Event-driven architectures Distributed systems Cloud-native solutions API ecosystems Experience working within highly regulated environments. Track record of influencing and partnering with executive-level stakeholders. Desired Experience Experience with multi-cloud environments (Azure, AWS, GCP). Knowledge of AI, Generative AI, Agentic AI frameworks, and intelligent automation. Experience defining target operating models and business capability architectures. Familiarity with data mesh, real-time analytics, and enterprise data platforms. Understanding of modern banking ecosystem trends, open banking, and embedded finance. Strategic thinking with strong execution focus. Exceptional stakeholder management and influencing skills. Strong leadership presence and communication abilities. Commercial and business acumen. Ability to navigate ambiguity and drive organizational change. Deep understanding of technology risk, security, and regulatory considerations. Passion for innovation and the future of AI-enabled banking
About the Role As artificial intelligence shifts from experimental pilots to core enterprise architecture, leading organisations require digital engineering partners who can embed AI directly into the Software Development Life Cycle (SDLC). This requires moving beyond traditional software delivery to operationalise Agentic Workflows, Generative AI tooling, LLMOps, and automated AI-driven engineering practices at scale. As a Technical Programme Manager (AI SDLC) based in the UK, you will serve as the senior delivery authority accountable for leading multi-million-pound engineering programmes. You will drive both the creation of AI-powered software products and the transformation of enterprise SDLCs using modern AI tooling (Copilots, automated code generation, AI testing, and continuous delivery pipelines). Requirements Domain & Technical Expertise AI SDLC & LLMOps Fluency: Deep understanding of how AI integrates into modern software engineering-including LLMOps, RAG patterns, Agentic frameworks, fine-tuning vs. prompt engineering, vector storage, and model observability tools. Modern SDLC & Tooling Mastery: Expertise in enterprise DevOps/DevSecOps, CI/CD automation, trunk-based development, and AI coding assistants (e.g., GitHub Copilot, Tabnine, Amazon Q). AI Security & Governance: Strong grounding in AI ethics, IP guardrails, security standards for AI-generated software, and compliance with emerging AI regulations. Programme & Delivery Leadership Large-Scale Delivery Track Record: 15+ years in Digital/Software Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centres. Agile Software Metrics: Expertise in tracking and improving engineering health using DORA metrics, SPACE framework, and productivity tracking tailored for AI-augmented teams. Commercial & Risk Rigour: Strong financial governance (P&L management, margin optimisation, commercial risk mitigation) for complex client engagements. Strategic Influence & Communication Executive Advisory: High executive presence to bridge business goals, technical execution, and engineering culture, acting as a trusted advisor to client CTOs, CIOs, and VPs of Engineering. Value & Impact Orchestration: Ability to articulate the business case and ROI for AI adoption in software delivery through clear, metric-driven communication. Academic Background: Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field preferred. Job Responsibilities Delivery & AI Engineering Oversight End-to-End AI SDLC Delivery: Drive the full lifecycle of complex software programmes incorporating AI (Custom LLM solutions, RAG architectures, Agentic Workflows, and AI-powered SDLC tooling) from discovery to production rollout. AI-Assisted SDLC Transformation: Lead initiatives to integrate AI tools (GitHub Copilot, Cursor, automated test generators, static analysis tools) into client software pipelines, measuring and accelerating developer productivity and code quality. Architecture & Technical Alignment: Interrogate architectural decisions across the AI software stack (LLMOps pipelines, fine-tuning frameworks, vector databases, cloud infrastructure) to ensure solutions are scalable, maintainable, and secure. Pre-Sales & AI Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for AI platform engineering and software transformation engagements that are commercially sound and technically viable. Model Evaluation & Quality Assurance: Establish governance for AI software quality, including automated evaluation frameworks (evals), regression testing for non-deterministic model outputs, and hallucination monitoring. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale engineering programmes (£10M+ annual revenue), optimising pod structures and delivery velocity to protect and grow margins. AI Risk & Responsible Governance: Proactively identify systemic delivery and technical risks-including model drift, IP leakage, licensing issues in generated code, data privacy breaches, and security vulnerabilities (OWASP Top 10 for LLMs). Regulatory & Safety Compliance: Ensure all delivery frameworks adhere strictly to evolving AI governance standards, copyright guidelines, data privacy regulations (GDPR), and regulatory frameworks (e.g., EU AI Act). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Software Engineers, AI/ML Engineers, Prompt Engineers, DevOps/LLMOps Specialists, QA Engineers) of 100+ people across global delivery centres. CTO & Engineering Leadership Advisory: Serve as the primary delivery escalation point for client engineering executives. Translate complex AI capabilities and metrics (cycle time, lead time, deployment frequency, model accuracy) into clear business outcomes. Engineering Culture & Upskilling: Drive continuous learning across delivery teams, championing modern software engineering standards, AI-driven development patterns, and prompt engineering best practices. What we offer Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. competitive pension scheme and recognition schemes through bonus/reward initiatives. annual volunteering day - so you can take time to support a cause close to your heart. social activities such as trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . 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.
Sep 17, 2026
Full time
About the Role As artificial intelligence shifts from experimental pilots to core enterprise architecture, leading organisations require digital engineering partners who can embed AI directly into the Software Development Life Cycle (SDLC). This requires moving beyond traditional software delivery to operationalise Agentic Workflows, Generative AI tooling, LLMOps, and automated AI-driven engineering practices at scale. As a Technical Programme Manager (AI SDLC) based in the UK, you will serve as the senior delivery authority accountable for leading multi-million-pound engineering programmes. You will drive both the creation of AI-powered software products and the transformation of enterprise SDLCs using modern AI tooling (Copilots, automated code generation, AI testing, and continuous delivery pipelines). Requirements Domain & Technical Expertise AI SDLC & LLMOps Fluency: Deep understanding of how AI integrates into modern software engineering-including LLMOps, RAG patterns, Agentic frameworks, fine-tuning vs. prompt engineering, vector storage, and model observability tools. Modern SDLC & Tooling Mastery: Expertise in enterprise DevOps/DevSecOps, CI/CD automation, trunk-based development, and AI coding assistants (e.g., GitHub Copilot, Tabnine, Amazon Q). AI Security & Governance: Strong grounding in AI ethics, IP guardrails, security standards for AI-generated software, and compliance with emerging AI regulations. Programme & Delivery Leadership Large-Scale Delivery Track Record: 15+ years in Digital/Software Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centres. Agile Software Metrics: Expertise in tracking and improving engineering health using DORA metrics, SPACE framework, and productivity tracking tailored for AI-augmented teams. Commercial & Risk Rigour: Strong financial governance (P&L management, margin optimisation, commercial risk mitigation) for complex client engagements. Strategic Influence & Communication Executive Advisory: High executive presence to bridge business goals, technical execution, and engineering culture, acting as a trusted advisor to client CTOs, CIOs, and VPs of Engineering. Value & Impact Orchestration: Ability to articulate the business case and ROI for AI adoption in software delivery through clear, metric-driven communication. Academic Background: Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field preferred. Job Responsibilities Delivery & AI Engineering Oversight End-to-End AI SDLC Delivery: Drive the full lifecycle of complex software programmes incorporating AI (Custom LLM solutions, RAG architectures, Agentic Workflows, and AI-powered SDLC tooling) from discovery to production rollout. AI-Assisted SDLC Transformation: Lead initiatives to integrate AI tools (GitHub Copilot, Cursor, automated test generators, static analysis tools) into client software pipelines, measuring and accelerating developer productivity and code quality. Architecture & Technical Alignment: Interrogate architectural decisions across the AI software stack (LLMOps pipelines, fine-tuning frameworks, vector databases, cloud infrastructure) to ensure solutions are scalable, maintainable, and secure. Pre-Sales & AI Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for AI platform engineering and software transformation engagements that are commercially sound and technically viable. Model Evaluation & Quality Assurance: Establish governance for AI software quality, including automated evaluation frameworks (evals), regression testing for non-deterministic model outputs, and hallucination monitoring. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale engineering programmes (£10M+ annual revenue), optimising pod structures and delivery velocity to protect and grow margins. AI Risk & Responsible Governance: Proactively identify systemic delivery and technical risks-including model drift, IP leakage, licensing issues in generated code, data privacy breaches, and security vulnerabilities (OWASP Top 10 for LLMs). Regulatory & Safety Compliance: Ensure all delivery frameworks adhere strictly to evolving AI governance standards, copyright guidelines, data privacy regulations (GDPR), and regulatory frameworks (e.g., EU AI Act). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Software Engineers, AI/ML Engineers, Prompt Engineers, DevOps/LLMOps Specialists, QA Engineers) of 100+ people across global delivery centres. CTO & Engineering Leadership Advisory: Serve as the primary delivery escalation point for client engineering executives. Translate complex AI capabilities and metrics (cycle time, lead time, deployment frequency, model accuracy) into clear business outcomes. Engineering Culture & Upskilling: Drive continuous learning across delivery teams, championing modern software engineering standards, AI-driven development patterns, and prompt engineering best practices. What we offer Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. competitive pension scheme and recognition schemes through bonus/reward initiatives. annual volunteering day - so you can take time to support a cause close to your heart. social activities such as trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . 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.
Senior Site Reliability Engineer Southampton HQ - 2 Times a week in Office Cloud, SaaS, AWS, The company deliver cutting-edge enterprise software solutions across both cloud and on-premises environments, empowering organisations to enhance customer experiences, maintain regulatory compliance, and proactively fight fraud. The company are trusted by businesses worldwide to drive seamless, intelligent customer interactions. In this role, you'll oversee the production environment by ensuring system availability and maintaining a comprehensive perspective on overall health. You'll develop tools and software to support and streamline the management of platform infrastructure and key applications. A major focus will be enhancing the dependability, performance, and delivery speed of our software products. You'll also be responsible for analysing and fine-tuning system performance to anticipate user demands and drive innovation. Additionally, you'll take the lead in providing operational support and technical oversight for several large-scale distributed applications. How You'll Contribute: Monitor and interpret system and application metrics to fine-tune performance and troubleshoot issues effectively Collaborate closely with developers to enhance service quality through thorough testing and structured release practices Engage in architectural discussions, manage platform operations, and contribute to capacity forecasting Design and implement automated solutions to build resilient, scalable systems Maintain a strong focus on delivering new features while ensuring stability and adherence to service level goals You'll Stand Out If You Have: Practical experience managing large-scale Kubernetes clusters; certifications in Kubernetes are a strong bonus Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer, or similar credentials Do You Have What It Takes? 3-6 years of hands-on experience in a similar role, with a strong emphasis on systems engineering, automation, and service reliability Proficient in at least one programming language such as Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools like CloudFormation or Terraform In-depth knowledge of CI/CD principles and hands-on experience with tools such as Jenkins, GitLab CI/CD, or CircleCI Strong understanding of containerization (e.g., Docker, Kubernetes) and microservices architecture Skilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatch Excellent analytical and troubleshooting abilities, especially within complex distributed systems Proven experience handling incident management and conducting blameless postmortems, including leading cross-functional teams through resolution and communication during critical outages Benefits Life Insurance - 4 x Annual Salary Private Medical Insurance Employee Assistance Programme Hybrid Working - 3 Days from Home GP Online Assistance Portal. + Much More Please click the "Apply" button to state your interest in this position. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Sep 17, 2026
Full time
Senior Site Reliability Engineer Southampton HQ - 2 Times a week in Office Cloud, SaaS, AWS, The company deliver cutting-edge enterprise software solutions across both cloud and on-premises environments, empowering organisations to enhance customer experiences, maintain regulatory compliance, and proactively fight fraud. The company are trusted by businesses worldwide to drive seamless, intelligent customer interactions. In this role, you'll oversee the production environment by ensuring system availability and maintaining a comprehensive perspective on overall health. You'll develop tools and software to support and streamline the management of platform infrastructure and key applications. A major focus will be enhancing the dependability, performance, and delivery speed of our software products. You'll also be responsible for analysing and fine-tuning system performance to anticipate user demands and drive innovation. Additionally, you'll take the lead in providing operational support and technical oversight for several large-scale distributed applications. How You'll Contribute: Monitor and interpret system and application metrics to fine-tune performance and troubleshoot issues effectively Collaborate closely with developers to enhance service quality through thorough testing and structured release practices Engage in architectural discussions, manage platform operations, and contribute to capacity forecasting Design and implement automated solutions to build resilient, scalable systems Maintain a strong focus on delivering new features while ensuring stability and adherence to service level goals You'll Stand Out If You Have: Practical experience managing large-scale Kubernetes clusters; certifications in Kubernetes are a strong bonus Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer, or similar credentials Do You Have What It Takes? 3-6 years of hands-on experience in a similar role, with a strong emphasis on systems engineering, automation, and service reliability Proficient in at least one programming language such as Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools like CloudFormation or Terraform In-depth knowledge of CI/CD principles and hands-on experience with tools such as Jenkins, GitLab CI/CD, or CircleCI Strong understanding of containerization (e.g., Docker, Kubernetes) and microservices architecture Skilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatch Excellent analytical and troubleshooting abilities, especially within complex distributed systems Proven experience handling incident management and conducting blameless postmortems, including leading cross-functional teams through resolution and communication during critical outages Benefits Life Insurance - 4 x Annual Salary Private Medical Insurance Employee Assistance Programme Hybrid Working - 3 Days from Home GP Online Assistance Portal. + Much More Please click the "Apply" button to state your interest in this position. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
