Head of Enterprise Digital Engineering

Head of Enterprise Digital Engineering Introduction to role:
Are you ready to design and scale the digital platforms that accelerate life-changing medicines to patients? This role leads the strategy, product direction, engineering and evolution of our enterprise platforms so teams can build, deploy and scale products with speed, safety and consistency. You will turn platform vision into measurable outcomes across cloud, data, AI, integration, developer experience, testing, deployment, observability, virtual reality and more.

You will manage platforms as products with clear customers, service expectations and success measures, while building a global forward-deployed engineering capability across software, testing, data, APIs, cloud and user experience. By reducing friction for engineers and standardising reusable capabilities, you will increase adoption, productivity and reliability across the enterprise. How will you shape a portfolio that balances standardisation with domain flexibility and turns platform investment into tangible business impact?

Join us at a pivotal moment as we scale a data- and AI-powered enterprise. You will partner with scientific, clinical and commercial leaders to embed intelligent platform services and responsible AI into everyday product delivery—helping our teams move faster, with confidence, to transform patient outcomes. Accountabilities:

- Digital platform strategy and portfolio:
Define and execute an enterprise platform strategy aligned to business and technology priorities; establish a coherent portfolio of shared platforms and reusable capabilities; translate enterprise needs into roadmaps and investment priorities; clarify what capabilities belong in enterprise platforms versus domain teams; manage cross-portfolio dependencies and priorities to maximise value. Product leadership:
Establish a product-led approach for platform development and service delivery; identify customers, value propositions, roadmaps, service expectations and success measures; ensure priorities reflect the needs of product teams, engineers, data scientists and business users; drive adoption via strong engagement, simplicity, documentation and continuous improvement; balance enterprise standards with domain-specific needs. Platform engineering and developer experience:
Build and evolve platforms that accelerate delivery and reduce duplication; champion API-first design, automation and self-service; improve developer experience by reducing friction and cognitive load; provide reusable services, tooling and patterns for effective build, test, deploy and operate; embed secure, resilient and scalable engineering practices.

Forward deployment engineering:
Create and scale a global forward deployment workforce across cloud, Dev Ops, APIs, data, data ingestion and user experience to enable teams in the field and speed adoption of shared capabilities. AI for technology and intelligent platform enablement:
Lead the strategy, development and deployment of AI for technology, including platforms, agents, software development and automation; build reusable services for generative AI, agents, machine learning and advanced analytics; convert AI architecture and standards into safe, consumable platform capabilities; partner broadly to accelerate responsible AI adoption; ensure appropriate security, compliance, observability and lifecycle controls; measure adoption and business outcomes from AI capabilities.

Platform operations and service performance:
Establish clear service ownership and accountability; ensure platforms are resilient, secure, scalable, supported and cost-effective; define and monitor reliability, experience and operational measures; drive incident learning, problem…