Jobs at GSK

Leads the end-to-end development and delivery of AI/ML products for pharmaceutical and healthcare applications. Defines product goals, strategy, data requirements, success metrics, and delivery plans; coordinates technical and cross-functional teams; advocates for users; and manages Agile development, AI risk, data governance, ethics, and compliance. Requires expertise spanning machine learning, pharma or drug discovery, basic science, software delivery, and matrix leadership.

Drives AI opportunity discovery, value sizing, prioritization, scoping, prototyping, delivery, measurement, and adoption for manufacturing-site engagements. Partners with forward-deployed engineers and site stakeholders to validate data, model outputs, workflows, and business impact. Produces briefs, value models, decision logs, and scoping documents while coordinating workstreams, supporting rollout, and capturing reusable lessons. Requires hands-on analytical capability, AI/ML fluency, manufacturing understanding, strong communication, and execution in regulated environments.

Own the vision, strategy, and roadmap for digital products supporting Engineering, EHS, and Sustainability at GSK. Translate business needs into prioritized product outcomes, investment proposals, and delivery plans. Guide Product Owners and cross-functional teams through discovery, delivery, adoption, and operations. Identify opportunities for process simplification, automation, data, and responsible AI use while measuring business value, user experience, reliability, and operational performance within enterprise governance requirements.

Own end-to-end AI engagements from problem framing through working prototypes and selected first production versions. Embed with business teams, qualify use cases, orchestrate AI coding assistants and multi-agent workflows, and develop generative AI and machine learning solutions. Lead and mentor junior forward-deployed engineers, validate delivery quality, make evidence-based recommendations, contribute reusable patterns, initiate responsible AI governance, and package proven solutions for handoff to Solutions Engineering.

Lead a cross-functional product team delivering secure, compliant digital products for Engineering, EHS, and Sustainability. Own product vision, roadmap, backlog prioritization, lifecycle delivery, adoption, and continuous improvement. Translate complex business needs into technology solutions, oversee governance and regulated change controls, and identify responsible AI opportunities. Partner with stakeholders, architects, engineers, analysts, and testers while balancing value, risk, cost, dependencies, and technical complexity.

Leads GSK’s Forward Deployed Engineering function, including strategy, hiring, team development, engineering standards, sponsor relationships, portfolio decisions, and governance. The role remains hands-on in strategic AI engagements, delivering proofs of concept and production-ready solutions using agentic workflows, GenAI, machine learning, data science, and MLOps. It also coordinates with Solutions and Operations Engineering, evaluates emerging AI advances, influences tooling strategy, and reports function performance to Enterprise AI leadership.

Leads GSK’s enterprise Forward Deployed Engineering function for AI solutions. Sets organization-wide AI engineering standards, reference architectures, agentic workflows, evaluation frameworks, governance, and reusable platforms. Owns delivery outcomes across strategic business units, personally leads complex AI engagements, and directs senior engineering teams. Partners with executive stakeholders on AI roadmaps, mentors technical leaders, influences tooling and vendor strategy, and serves as the escalation authority for architecture, machine learning, data science, and agentic engineering decisions.

Owns the vision, strategy, roadmap, investment plan, adoption, reliability, and lifecycle of GSK’s Factory Integration Layer and manufacturing data integration capabilities. The role connects operational technology, manufacturing systems, enterprise applications, cloud, and data platforms. Responsibilities include prioritization, governance, architecture alignment, data standards, service health, risk management, supplier evaluation, stakeholder influence, and coaching Product Owners. The position ensures scalable, reusable, secure, compliant, and supportable integration capabilities across global manufacturing sites.

Leads data and integration engineering for digital product profile data across R&D, CMC, manufacturing, and commercial systems. Designs data models, pipelines, integrations, CI/CD processes, deployment environments, and knowledge-graph implementations. Supports AI and analytics initiatives, monitors data quality and system performance, troubleshoots recurring issues, documents technical standards, and coaches engineers and analysts. Ensures solutions meet security, privacy, GxP, validation, and change-control requirements.

Embeds within GSK manufacturing sites to identify and deliver AI, data, Smart Manufacturing, and digital technology solutions. Builds and validates PoCs, PoVs, and MVPs using site data and workflows; evaluates value, feasibility, risk, governance, and scalability; and transitions successful solutions to product teams for industrialization. The role also resolves deployment barriers, supports responsible AI, cybersecurity, privacy, GxP, and architecture requirements, develops reusable technical patterns, and coaches site teams.

Leads GSK’s global External Manufacturing digital and technology roadmap, integrating CDMO partners, manufacturing, supply chain, quality, and enterprise technology teams. Owns delivery of scalable integration, Smart Manufacturing, data, and AI solutions from business case through deployment and value realization. Responsibilities include roadmap prioritization, Agile delivery, architecture, governance, cybersecurity, Responsible AI, validation, financial planning, stakeholder leadership, adoption, and transition to service teams.

Supports flagship commercial transformation projects across Europe and International markets by maintaining plans, governance, risks, budgets, reporting, stakeholder communications and benefits tracking. Coordinates market deployment, supplier activity, procurement, financial controls and adoption evidence while escalating issues and supporting cross-functional delivery in a regulated pharmaceutical environment.

Leads GSK’s R&D data and data science strategy, portfolio, governance, investment, and organization. Builds and develops technical data product ownership capabilities, oversees data quality and compliance, and partners with scientific and enterprise leaders. At least half the role remains hands-on, involving coding, analytics, model development, and agentic AI systems that generate trusted insights with human oversight.

Leads GSK’s global procurement strategy and commercial management for pharmaceutical distributors and commercial operations providers. Responsibilities include sourcing, contracting, onboarding, governance, supplier performance management, KPI and SLA frameworks, complex negotiations, cost optimization, risk mitigation, and stakeholder collaboration across international markets. The role requires pharmaceutical distribution expertise, strategic procurement experience, strong negotiation skills, and executive-level stakeholder management.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.