Senior Director, AI Cloud & Compute Services

Introduction to the role Help shape and scale a   multi-cloud AI platform   that speeds up the discovery and development of life-changing medicines! This role leads the strategy, build and evolution of enterprise compute and cloud-native AI services used every day by scientists and engineers across the business. The focus is clear: turn ambitious ideas into   secure, compliant and reusable capabilities   that work at scale. Success in this role means connecting data foundations, AI technologies and smarter ways of working into one strong platform that helps teams move faster, with less friction and more confidence. It is a chance to set direction, remove blockers and drive adoption across a global organisation! What this role will do This role will define how AI and machine learning services are used across   AWS, Azure and GCP , creating a simpler and more consistent experience across multiple cloud environments. Managed services such as   SageMaker, Azure ML and Vertex AI   will be brought together through strong architecture, Infrastructure as Code and practical integrations that make secure adoption easier. Enterprise compute strategy will sit at the heart of the role, balancing   performance, cost, resilience and compliance . The platform will need repeatable, auditable Terraform foundations that support AI services with the rigour required in regulated environments. The role will also unify cloud-native AI services into a more consistent platform model, with shared patterns, governance and guardrails that reduce duplication and support faster delivery. Rather than leaving teams to reinvent solutions, the platform will provide dependable standards that teams can adopt and scale. Leadership is a major part of the remit. A high-performing team of   AI platform and DevOps specialists   will be built, coached and challenged to raise the bar. An automation-first mindset, strong engineering discipline and compliance-by-design approach will be central to how the team operates. The role also carries ownership for budgets and resourcing across   headcount, cloud consumption, outsourced services and specialist partners . Strong FinOps thinking will be important to improve visibility, control spend and maximise value. Alongside delivery, this role will champion enterprise-wide adoption. Proven platform patterns, reusable components and successful ideas will be scaled across functions and geographies, helping more teams work with greater speed, safety and efficiency. Close partnership with leaders across   R&D, engineering, security and compliance   will be essential. The role will translate scientific and business priorities into technical strategy, practical roadmaps and measurable outcomes. Essential Skills/Experience • We’re looking for someone with 15+ years of experience, including at least 5 years in senior technical leadership roles focused on AI platforms, cloud infrastructure, or cloud-native AI services, ideally in regulated industries. This person will bring a strong track record of leading large-scale platform transformations and helping teams navigate complex, multi-year change with clarity and confidence. • Deep expertise across   AWS, Azure and GCP   is expected, especially in AI and machine learning services. Strong hands-on knowledge of   Terraform   is also important, including enterprise module design, multi-cloud implementation, CI/CD integration, and state management and governance. • This role calls for broad compute leadership experience, including   Kubernetes, serverless and event-driven architectures, GPU optimisation for machine learning workloads, auto-scaling and cost optimisation . A strong engineering background with hands-on capability in   Python, Bash and PowerShell   will be valuable. • Experience