Director - Automation Platform Architect

Business Introduction GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Job Purpose  The Engineer, Product Manager leads the design, build and adoption of AI and agentic solutions in the Automation Acceleration Hub, combining hands-on AI engineering with product management to turn high-value opportunities into solutions that change how GSK runs technology. It identifies, shapes and prioritises AI and automation opportunities across DPTF, owns the AI product roadmap and backlog, and stays hands-on in design and delivery where that is what moves the work forward. Reliability and responsible-AI guardrails are built into solutions from the start, with explicit service levels for AI services. The role is deliberately dual: engineering depth and product ownership sit together rather than being split across two people. AI platform architecture sits with the Director, AI Platform Architect, hands-on AI and agent engineering also sits with the Principal AI Engineer / Architect and the Principal AI / Prompt / Agent Engineer, process design sits with the Principal AI Process Architect, and adoption enablement sits with the Principal AI Enablement Lead. Solutions transition to the owning domain as they mature rather than remaining in the Hub indefinitely. Key Responsibilities • Identify, shape and prioritise high-value AI and automation opportunities across DPTF, linking each to strategy and to a measurable outcome rather than to a technology. • Lead the design and delivery of AI and agentic solutions that accelerate delivery and operations, staying hands-on where that is what moves the work forward. • Own the AI product roadmap and backlog, steering with OKRs and value metrics under lean portfolio principles. • Build reliability and responsible-AI guardrails into solutions from the start, with clear service levels for AI services rather than best-effort operation. • Partner with the platform domains to embed solutions in their operations, and transition ownership to them as solutions mature. • Champion AI-native ways of working across DPTF, and treat adoption rather than deployment as the point at which a solution has landed. • Measure and report the value and efficiency delivered by AI solutions, including where a solution did not deliver and has been stopped. • Work with AI platform suppliers and model providers, holding them to performance and safety standards rather than accepting vendor assurance. • Maintain a visible pipeline of assessed opportunities, so that Hub capacity is directed by value rather than by whoever asked most recently. • Assess where agentic approaches are appropriate and where they are not, and record the reasoning so the judgement is reusable. • Work within GSK information security, data and quality requirements, including GxP where a solution touches regulated activity, engaging those functions during design rather than at approval. • Hold the boundaries with the Director, AI Platform Architect on AI platform architecture, the Principal AI Process Architect on process design, and the Principal AI Enablement Lead on adoption enablemen