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.
Role 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. Role Requirements Significant experience as a Platform Engineer, DevOps Engineer, SRE, or Cloud Engineer. Strong expertise with Azure cloud technologies. Deep understanding of cloud-native platforms and container orchestration. Experience building CI/CD pipelines using Azure DevOps, or similar platforms (GitHub Actions, etc). Strong Infrastructure as Code experience using Terraform. Experience deploying distributed systems and microservices architectures. Strong understanding of cloud networking, security, and platform operations. Experience using AI to improve infrastructure delivery, engineering productivity, operational efficiency, and software delivery outcomes. Experience supporting modern software engineering teams in a fast-paced environment. Skills and Abilities Deliver highly scalable cloud infrastructure supporting our products. Establish best practices for AI-native platform engineering, agent-driven automation, and cloud infrastructure delivery. Improve platform reliability, resilience, and security posture. Drive platform automation, engineering efficiency, and operational excellence through AI-assisted and agent-driven approaches. Design secure operating models for AI-driven infrastructure provisioning and change management. Support rapid experimentation and innovation within an ambitious product led environment. Management Duties No Benefits include Personal training sessions Additional holiday for length of service Private healthcare for you and your family Pension Discretionary annual bonus Enhanced maternity and paternity benefit Day off on your birthday Season ticket loan Cycle to work scheme Health and wellbeing support Discounts and rewards Death in service Employee share scheme
Sep 23, 2026
Full time
Role 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. Role Requirements Significant experience as a Platform Engineer, DevOps Engineer, SRE, or Cloud Engineer. Strong expertise with Azure cloud technologies. Deep understanding of cloud-native platforms and container orchestration. Experience building CI/CD pipelines using Azure DevOps, or similar platforms (GitHub Actions, etc). Strong Infrastructure as Code experience using Terraform. Experience deploying distributed systems and microservices architectures. Strong understanding of cloud networking, security, and platform operations. Experience using AI to improve infrastructure delivery, engineering productivity, operational efficiency, and software delivery outcomes. Experience supporting modern software engineering teams in a fast-paced environment. Skills and Abilities Deliver highly scalable cloud infrastructure supporting our products. Establish best practices for AI-native platform engineering, agent-driven automation, and cloud infrastructure delivery. Improve platform reliability, resilience, and security posture. Drive platform automation, engineering efficiency, and operational excellence through AI-assisted and agent-driven approaches. Design secure operating models for AI-driven infrastructure provisioning and change management. Support rapid experimentation and innovation within an ambitious product led environment. Management Duties No Benefits include Personal training sessions Additional holiday for length of service Private healthcare for you and your family Pension Discretionary annual bonus Enhanced maternity and paternity benefit Day off on your birthday Season ticket loan Cycle to work scheme Health and wellbeing support Discounts and rewards Death in service Employee share scheme
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.
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.
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.
Why Valtech? We're the experience innovation company-a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking, or building the next generation of customer experiences, your work will help transform industries. The Role As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands on and strategic role, combining Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications Proven experience leading enterprise scale Appian delivery programmes within complex consulting environments. Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build vs buy decisions for custom plug ins and setting integration standards for delivery teams to follow. Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. Skilled at establishing effective ways of working across blended teams (e.g., client staff, third party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi application landscape, and ownership of platform governance and design standards for other developers to follow. Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. Proven experience mentoring developers and leading high performing technical teams. Experience contributing to pre sales, solution design, proposals or technical bid responses. A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to Reaching All Kinds of People We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity and technology, we drive transformation for leading organisations, including L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.
Sep 12, 2026
Full time
Why Valtech? We're the experience innovation company-a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking, or building the next generation of customer experiences, your work will help transform industries. The Role As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands on and strategic role, combining Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications Proven experience leading enterprise scale Appian delivery programmes within complex consulting environments. Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build vs buy decisions for custom plug ins and setting integration standards for delivery teams to follow. Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. Skilled at establishing effective ways of working across blended teams (e.g., client staff, third party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi application landscape, and ownership of platform governance and design standards for other developers to follow. Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. Proven experience mentoring developers and leading high performing technical teams. Experience contributing to pre sales, solution design, proposals or technical bid responses. A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to Reaching All Kinds of People We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity and technology, we drive transformation for leading organisations, including L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.
J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. Our Product team is at the heart of this venture, focused on getting smart ideas into the hands of our teams and customers. Our teams are solution-oriented, commercially savvy, and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. As an Applied AI Product Director at JPMorganChase within J.P. Morgan Personal Investing (JPM PI), you will own the product vision, strategy, and roadmap for AI-powered solutions across the business spanning large language models, agentic systems, intelligent automation, AI assistants, and rapid prototyping infrastructure. This is not a role that simply manages a backlog. You will define what AI can do for JPM PI, translate emerging capabilities into applied tools that deliver measurable results, and lead cross-functional teams to build and deploy them at scale. You will collaborate closely with Data Scientists, Software Engineers, other product teams, and business stakeholders to deliver impactful AI solutions from NLP-powered insights and automation platforms to self-serve AI enablement that empowers every team to build better product features and deliver richer customer experiences. You will also shape our AI integration strategy, developing a clear point of view on how agentic workflows, emerging standards, and third party AI tooling are changing what's possible, and making the build-versus-partner-versus-defer calls that keep us moving at the right pace. This role requires a leader who delivers measurable results for sophisticated AI products under ambiguous conditions in a fast paced environment someone who is as comfortable discussing an API spec or an auth flow with an engineering team as they are presenting an AI strategy to senior management. You will thrive in collaborative squads, are passionate about the transformative potential of AI, and have the conviction to define what "great" looks like as the landscape evolves. Job responsibilities: Develops and articulates a clear Applied AI product strategy and roadmap that delivers meaningful value across JPM PI, covering LLMs, agentic capabilities, AI assistants, intelligent automation, and rapid prototyping, while setting team goals, success metrics, and priorities aligned with broader business objectives. Leads cross-functional teams of Data Scientists, Software Engineers, and Platform teams to move AI solutions from concept to production at scale, making decisions on AI tooling and capabilities to keep delivery moving at the right pace. Turns ambiguous demand into prioritised, validated AI use cases with clear production pathways through measurable experiments, delivering results for sophisticated AI products under conditions of genuine uncertainty. Identifies where autonomous agents, multi-step reasoning, tool-using architectures, and emerging integration standards create step-change opportunities across the business, evaluating internal and third party AI platforms AI to ensure JPM PI stays at the frontier without creating ungoverned dependencies. Empowers teams across JPM PI to safely leverage JPMC AI tools through repeatable workflows, reusable skills, practical guardrails, and structured training, building and running the framework for how we tier, prioritise, and resource AI use case requests across multiple teams and functions. Works closely with data teams to surface actionable insights, shape AI ready datasets, identify data constraints and quality gaps, and unlock new product features through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context aware development assistance, copilot delivered boilerplates, root cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework and overhead. Leverages internal AI platforms and prototyping infrastructure to move from idea to working prototype at speed, then partners with Product and Engineering to convert prototypes into production grade solutions. Leads change impact assessments for new or modified AI products, owns AI risk assessments and related reporting, and contributes to the definition and ongoing review of the Risk Appetite statement for applied AI capabilities. Builds strong, collaborative relationships across departments, including Product Managers, other product teams, Platform teams, Engineering, Data Science, and all AI functions, scaling reusable AI skills and agents across the business while navigating regulatory and compliance realities. Required qualifications, capabilities and skills Extensive product management experience or equivalent expertise, including extensive experience delivering AI/ML powered products, AI platforms, or developer tools in financial services or technology companies, and expert at navigating matrix and complex organisations, collaborating effectively across teams and functions including Data Science, Platform Engineering, Model Risk, and AI governance bodies. Deep working knowledge of GenAI/LLMs, agentic systems, RAG architecture, and AI assisted software development, with demonstrated ability to translate technical AI capabilities into applied, value added tools for non technical users. Proven track record of owning AI product vision and roadmap end to end, and leading cross functional teams that deliver enterprise scale AI/ML solutions with measurable outcomes, including AI assistants, intelligent automation, AI native workflows, or developer productivity tools. Strong understanding of AI/ML model lifecycle management, including evaluation, deployment, monitoring, and governance. Practical experience embedding AI into business operations and engineering workflows. Genuinely technical and a proven builder. Comfortable as a hands on partner with engineering and data science teams, able to reason through API design, system architecture, and technical trade offs, with credibility to lead build versus partner versus defer decisions. Proven experience identifying, validating, and prioritising AI use cases through measurable experiments, delivering results for sophisticated products under ambiguous conditions in fast paced environments. Experience building self serve AI enablement programmes, including training, guardrails, reusable templates, prioritisation frameworks, and adoption measurement for non engineering teams. Deep understanding of the evolving AI regulatory and governance landscape, with familiarity across responsible AI principles, model risk management, and emerging frameworks for AI deployment in financial services. A natural connector who creates shared understanding by translating AI concepts, technical trade offs, and business priorities across Product, Engineering, Data Science, Compliance, Risk, and non technical functions. Can flex between a technical design conversation with engineers and a strategic conversation with an executive. Comfortable with ambiguity. This role sits at the intersection of rapidly evolving AI capabilities and established financial services governance, and part of the job is defining what "great" looks like as you go. Preferred qualifications, capabilities and skills Bachelor's degree or equivalent. MSc in Data Science/AI/ML, or relevant advanced degree advantageous. Experience with AI governance frameworks, model risk management, and responsible AI principles in financial services. Practical understanding of data governance, data privacy, and regulatory requirements as they apply to AI/ML products in financial services. Vendor management experience including build versus buy analysis and integration strategy for third party AI/ML solutions (e.g., LLM providers, copilot platforms, AI orchestration frameworks, or agentic tooling), ideally including evaluating AI native vendors at various maturity stages. Familiarity with current AI industry developments, including agentic AI systems, emerging agent to agent integration standards (e.g., MCP), AI assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities, and evolving best practices for embedding AI into enterprise workflows. Experience working with internal AI platforms, innovation labs, or rapid prototyping functions to move from concept to validated prototype at speed.
Sep 12, 2026
Full time
J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. Our Product team is at the heart of this venture, focused on getting smart ideas into the hands of our teams and customers. Our teams are solution-oriented, commercially savvy, and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. As an Applied AI Product Director at JPMorganChase within J.P. Morgan Personal Investing (JPM PI), you will own the product vision, strategy, and roadmap for AI-powered solutions across the business spanning large language models, agentic systems, intelligent automation, AI assistants, and rapid prototyping infrastructure. This is not a role that simply manages a backlog. You will define what AI can do for JPM PI, translate emerging capabilities into applied tools that deliver measurable results, and lead cross-functional teams to build and deploy them at scale. You will collaborate closely with Data Scientists, Software Engineers, other product teams, and business stakeholders to deliver impactful AI solutions from NLP-powered insights and automation platforms to self-serve AI enablement that empowers every team to build better product features and deliver richer customer experiences. You will also shape our AI integration strategy, developing a clear point of view on how agentic workflows, emerging standards, and third party AI tooling are changing what's possible, and making the build-versus-partner-versus-defer calls that keep us moving at the right pace. This role requires a leader who delivers measurable results for sophisticated AI products under ambiguous conditions in a fast paced environment someone who is as comfortable discussing an API spec or an auth flow with an engineering team as they are presenting an AI strategy to senior management. You will thrive in collaborative squads, are passionate about the transformative potential of AI, and have the conviction to define what "great" looks like as the landscape evolves. Job responsibilities: Develops and articulates a clear Applied AI product strategy and roadmap that delivers meaningful value across JPM PI, covering LLMs, agentic capabilities, AI assistants, intelligent automation, and rapid prototyping, while setting team goals, success metrics, and priorities aligned with broader business objectives. Leads cross-functional teams of Data Scientists, Software Engineers, and Platform teams to move AI solutions from concept to production at scale, making decisions on AI tooling and capabilities to keep delivery moving at the right pace. Turns ambiguous demand into prioritised, validated AI use cases with clear production pathways through measurable experiments, delivering results for sophisticated AI products under conditions of genuine uncertainty. Identifies where autonomous agents, multi-step reasoning, tool-using architectures, and emerging integration standards create step-change opportunities across the business, evaluating internal and third party AI platforms AI to ensure JPM PI stays at the frontier without creating ungoverned dependencies. Empowers teams across JPM PI to safely leverage JPMC AI tools through repeatable workflows, reusable skills, practical guardrails, and structured training, building and running the framework for how we tier, prioritise, and resource AI use case requests across multiple teams and functions. Works closely with data teams to surface actionable insights, shape AI ready datasets, identify data constraints and quality gaps, and unlock new product features through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context aware development assistance, copilot delivered boilerplates, root cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework and overhead. Leverages internal AI platforms and prototyping infrastructure to move from idea to working prototype at speed, then partners with Product and Engineering to convert prototypes into production grade solutions. Leads change impact assessments for new or modified AI products, owns AI risk assessments and related reporting, and contributes to the definition and ongoing review of the Risk Appetite statement for applied AI capabilities. Builds strong, collaborative relationships across departments, including Product Managers, other product teams, Platform teams, Engineering, Data Science, and all AI functions, scaling reusable AI skills and agents across the business while navigating regulatory and compliance realities. Required qualifications, capabilities and skills Extensive product management experience or equivalent expertise, including extensive experience delivering AI/ML powered products, AI platforms, or developer tools in financial services or technology companies, and expert at navigating matrix and complex organisations, collaborating effectively across teams and functions including Data Science, Platform Engineering, Model Risk, and AI governance bodies. Deep working knowledge of GenAI/LLMs, agentic systems, RAG architecture, and AI assisted software development, with demonstrated ability to translate technical AI capabilities into applied, value added tools for non technical users. Proven track record of owning AI product vision and roadmap end to end, and leading cross functional teams that deliver enterprise scale AI/ML solutions with measurable outcomes, including AI assistants, intelligent automation, AI native workflows, or developer productivity tools. Strong understanding of AI/ML model lifecycle management, including evaluation, deployment, monitoring, and governance. Practical experience embedding AI into business operations and engineering workflows. Genuinely technical and a proven builder. Comfortable as a hands on partner with engineering and data science teams, able to reason through API design, system architecture, and technical trade offs, with credibility to lead build versus partner versus defer decisions. Proven experience identifying, validating, and prioritising AI use cases through measurable experiments, delivering results for sophisticated products under ambiguous conditions in fast paced environments. Experience building self serve AI enablement programmes, including training, guardrails, reusable templates, prioritisation frameworks, and adoption measurement for non engineering teams. Deep understanding of the evolving AI regulatory and governance landscape, with familiarity across responsible AI principles, model risk management, and emerging frameworks for AI deployment in financial services. A natural connector who creates shared understanding by translating AI concepts, technical trade offs, and business priorities across Product, Engineering, Data Science, Compliance, Risk, and non technical functions. Can flex between a technical design conversation with engineers and a strategic conversation with an executive. Comfortable with ambiguity. This role sits at the intersection of rapidly evolving AI capabilities and established financial services governance, and part of the job is defining what "great" looks like as you go. Preferred qualifications, capabilities and skills Bachelor's degree or equivalent. MSc in Data Science/AI/ML, or relevant advanced degree advantageous. Experience with AI governance frameworks, model risk management, and responsible AI principles in financial services. Practical understanding of data governance, data privacy, and regulatory requirements as they apply to AI/ML products in financial services. Vendor management experience including build versus buy analysis and integration strategy for third party AI/ML solutions (e.g., LLM providers, copilot platforms, AI orchestration frameworks, or agentic tooling), ideally including evaluating AI native vendors at various maturity stages. Familiarity with current AI industry developments, including agentic AI systems, emerging agent to agent integration standards (e.g., MCP), AI assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities, and evolving best practices for embedding AI into enterprise workflows. Experience working with internal AI platforms, innovation labs, or rapid prototyping functions to move from concept to validated prototype at speed.
Why Valtech? We're the experience innovation company-a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking, or building the next generation of customer experiences, your work will help transform industries. The Role As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands on and strategic role, combining Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications Proven experience leading enterprise scale Appian delivery programmes within complex consulting environments. Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build vs buy decisions for custom plug ins and setting integration standards for delivery teams to follow. Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. Skilled at establishing effective ways of working across blended teams (e.g., client staff, third party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi application landscape, and ownership of platform governance and design standards for other developers to follow. Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. Proven experience mentoring developers and leading high performing technical teams. Experience contributing to pre sales, solution design, proposals or technical bid responses. A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to Reaching All Kinds of People We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity and technology, we drive transformation for leading organisations, including L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.
Sep 11, 2026
Full time
Why Valtech? We're the experience innovation company-a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking, or building the next generation of customer experiences, your work will help transform industries. The Role As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands on and strategic role, combining Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications Proven experience leading enterprise scale Appian delivery programmes within complex consulting environments. Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build vs buy decisions for custom plug ins and setting integration standards for delivery teams to follow. Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. Skilled at establishing effective ways of working across blended teams (e.g., client staff, third party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi application landscape, and ownership of platform governance and design standards for other developers to follow. Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. Proven experience mentoring developers and leading high performing technical teams. Experience contributing to pre sales, solution design, proposals or technical bid responses. A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to Reaching All Kinds of People We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity and technology, we drive transformation for leading organisations, including L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.
About Us At Ten10, we help organisations accelerate digital transformation by combining deep technical expertise with a passion for innovation. We partner with leading enterprises to design and deliver intelligent automation and low-code solutions that unlock efficiency, improve experiences, and enable scalability click apply for full job details
May 30, 2026
Full time
About Us At Ten10, we help organisations accelerate digital transformation by combining deep technical expertise with a passion for innovation. We partner with leading enterprises to design and deliver intelligent automation and low-code solutions that unlock efficiency, improve experiences, and enable scalability click apply for full job details
.NET Developer (AI) Birmingham City Centre Hybrid (WFH Monday & Friday) Competitive salary (DOE) The Opportunity: A market-leading organisation is looking for a .NET Developer to join their growing tech team in Birmingham. This role goes beyond traditional development - you'll be building core systems alongside AI-driven and agent-based solutions that are actively shaping how the business operates. We're specifically looking for someone who has hands-on experience building and deploying AI-powered or agentic workflows in real environments - not just experimenting but delivering. What you'll be doing: Building and enhancing core business applications, APIs, and integrations Developing scalable, modern .NET solutions Designing and implementing agentic AI workflows within business systems Integrating LLMs (e.g. Azure OpenAI) into production applications Creating automations and intelligent processes that drive efficiency Writing clean, maintainable, production-grade code Collaborating on architecture and technical decision-making Ensuring systems (including AI components) are reliable, auditable, and secure AI & Agentic Focus (Core to the Role) This role requires proven experience working with AI in production, including: Building agent-style or multi-step AI workflows Using LLMs (Azure OpenAI / OpenAI) in real applications Implementing prompt engineering in production environments Working with RAG, embeddings, or vector-based search Designing systems with human-in-the-loop controls and governance Understanding of AI reliability, evaluation, and auditability This is a must-have - we're looking for engineers already delivering in this space What We're Looking For: Core Skills Strong experience with C# / .NET / .NET Core ASP.NET Core, Web APIs, Azure Functions Experience building robust, scalable, enterprise-grade systems Strong SQL Server / T-SQL knowledge Experience with APIs, integrations, and distributed systems Strong engineering fundamentals and coding best practices AI Experience Proven experience delivering AI/LLM-powered features in production Hands-on experience building agentic or workflow-based AI solutions Experience integrating AI into real business systems Strong understanding of safe, governed AI implementation Nice to have Azure services (App Services, Logic Apps, etc.) Microservices architecture Power Platform (Power Automate / Power Apps) Copilot Studio or Semantic Kernel exposure Front-end experience (Blazor / JavaScript) Agile / CI/CD environments Why Apply? Work on cutting-edge AI and agentic systems in production Be part of a genuine transformation programme High ownership, high impact role Collaborative, forward-thinking engineering team Hybrid working with central Birmingham office Apply Now If you're a .NET Developer with real-world AI and agentic experience and want to build solutions that genuinely impact a business - apply today with your latest CV.
May 18, 2026
Full time
.NET Developer (AI) Birmingham City Centre Hybrid (WFH Monday & Friday) Competitive salary (DOE) The Opportunity: A market-leading organisation is looking for a .NET Developer to join their growing tech team in Birmingham. This role goes beyond traditional development - you'll be building core systems alongside AI-driven and agent-based solutions that are actively shaping how the business operates. We're specifically looking for someone who has hands-on experience building and deploying AI-powered or agentic workflows in real environments - not just experimenting but delivering. What you'll be doing: Building and enhancing core business applications, APIs, and integrations Developing scalable, modern .NET solutions Designing and implementing agentic AI workflows within business systems Integrating LLMs (e.g. Azure OpenAI) into production applications Creating automations and intelligent processes that drive efficiency Writing clean, maintainable, production-grade code Collaborating on architecture and technical decision-making Ensuring systems (including AI components) are reliable, auditable, and secure AI & Agentic Focus (Core to the Role) This role requires proven experience working with AI in production, including: Building agent-style or multi-step AI workflows Using LLMs (Azure OpenAI / OpenAI) in real applications Implementing prompt engineering in production environments Working with RAG, embeddings, or vector-based search Designing systems with human-in-the-loop controls and governance Understanding of AI reliability, evaluation, and auditability This is a must-have - we're looking for engineers already delivering in this space What We're Looking For: Core Skills Strong experience with C# / .NET / .NET Core ASP.NET Core, Web APIs, Azure Functions Experience building robust, scalable, enterprise-grade systems Strong SQL Server / T-SQL knowledge Experience with APIs, integrations, and distributed systems Strong engineering fundamentals and coding best practices AI Experience Proven experience delivering AI/LLM-powered features in production Hands-on experience building agentic or workflow-based AI solutions Experience integrating AI into real business systems Strong understanding of safe, governed AI implementation Nice to have Azure services (App Services, Logic Apps, etc.) Microservices architecture Power Platform (Power Automate / Power Apps) Copilot Studio or Semantic Kernel exposure Front-end experience (Blazor / JavaScript) Agile / CI/CD environments Why Apply? Work on cutting-edge AI and agentic systems in production Be part of a genuine transformation programme High ownership, high impact role Collaborative, forward-thinking engineering team Hybrid working with central Birmingham office Apply Now If you're a .NET Developer with real-world AI and agentic experience and want to build solutions that genuinely impact a business - apply today with your latest CV.
Power Platform Developer Location: West Midlands / Hybrid Salary: £55,000 - £65,000 + benefits We are partnering with a well-established organisation that is investing significantly in digital transformation and business process improvement. They are seeking a Power Platform Developer to play a pivotal role in this exciting journey. This is an excellent opportunity to join a business that truly values technology and offers the autonomy to develop solutions that have a tangible impact across operations, reporting, workflow automation, and user experience. You will not be working within a rigid legacy environment. Instead, this role is ideal for someone who takes pleasure in building scalable low-code solutions, enhancing business processes, and collaborating closely with stakeholders to convert operational challenges into elegant digital tools. The successful candidate will lead the design and development of solutions within the Microsoft ecosystem, driving automation, efficiency, and smarter decision-making across the wider business. Key Responsibilities Design and develop applications using Power Apps Build intelligent workflow automation with Power Automate Create reporting and visualisation solutions within Power BI Collaborate with operational and business stakeholders to gather and understand requirements Translate manual processes into automated digital workflows Support wider data and systems integration projects Enhance governance, scalability, and best practises across the Power Platform estate Identify opportunities for innovation and continuous improvement Person Specification Strong hands-on experience with Power Apps and Power Automate Proven experience building end-to-end business solutions Good understanding of Power BI and reporting workflows Experience integrating with Microsoft tools such as SharePoint, Teams, Dataverse, SQL, Dynamics, or Azure Excellent stakeholder engagement and communication skills Commercially minded with a passion for solving business challenges This role presents an outstanding opportunity for a motivated individual seeking to shape how technology is utilised within a forward-thinking business. If you are keen to make a real difference through technology and thrive in a collaborative environment, we would love to hear from you.
May 11, 2026
Full time
Power Platform Developer Location: West Midlands / Hybrid Salary: £55,000 - £65,000 + benefits We are partnering with a well-established organisation that is investing significantly in digital transformation and business process improvement. They are seeking a Power Platform Developer to play a pivotal role in this exciting journey. This is an excellent opportunity to join a business that truly values technology and offers the autonomy to develop solutions that have a tangible impact across operations, reporting, workflow automation, and user experience. You will not be working within a rigid legacy environment. Instead, this role is ideal for someone who takes pleasure in building scalable low-code solutions, enhancing business processes, and collaborating closely with stakeholders to convert operational challenges into elegant digital tools. The successful candidate will lead the design and development of solutions within the Microsoft ecosystem, driving automation, efficiency, and smarter decision-making across the wider business. Key Responsibilities Design and develop applications using Power Apps Build intelligent workflow automation with Power Automate Create reporting and visualisation solutions within Power BI Collaborate with operational and business stakeholders to gather and understand requirements Translate manual processes into automated digital workflows Support wider data and systems integration projects Enhance governance, scalability, and best practises across the Power Platform estate Identify opportunities for innovation and continuous improvement Person Specification Strong hands-on experience with Power Apps and Power Automate Proven experience building end-to-end business solutions Good understanding of Power BI and reporting workflows Experience integrating with Microsoft tools such as SharePoint, Teams, Dataverse, SQL, Dynamics, or Azure Excellent stakeholder engagement and communication skills Commercially minded with a passion for solving business challenges This role presents an outstanding opportunity for a motivated individual seeking to shape how technology is utilised within a forward-thinking business. If you are keen to make a real difference through technology and thrive in a collaborative environment, we would love to hear from you.
About Us At Ten10, we help organisations accelerate digital transformation by combining deep technical expertise with a passion for innovation. We partner with leading enterprises to design and deliver intelligent automation and low-code solutions that unlock efficiency, improve experiences, and enable scalability. We believe in empowering our clients and colleagues - whether thats modernising proce click apply for full job details
May 10, 2026
Full time
About Us At Ten10, we help organisations accelerate digital transformation by combining deep technical expertise with a passion for innovation. We partner with leading enterprises to design and deliver intelligent automation and low-code solutions that unlock efficiency, improve experiences, and enable scalability. We believe in empowering our clients and colleagues - whether thats modernising proce click apply for full job details
