Senior Director, AI-Ready Data Preparation

As Senior Director, you will lead the enterprise capability that prepares, processes, and provisions AI-ready data at scale, with automated, self-serve data products. You’ll drive DataOps and data engineering to enable trusted pipelines for AI/ML and analytics across a global organization. You’ll build reusable data products, governance, and security patterns, balancing speed with compliance. This role offers high-collaboration powered by sponsorship to scale impact and adoption across geographies.

• flexible in-office arrangement (min. 3 days/week in UK Cambridge)
• investment in technology, learning and development
• culture of experimentation and smart risk-taking
• inclusive, diverse environment
• opportunity to shape healthcare outcomes
• collaboration across subject areas

• Lead strategy and execution for AI-ready data preparation across priority AI use cases, focusing on reusable, self-service data products with increasing automation
• Own and operate enterprise data products for AI/ML and analytics, including data contracts, lineage, SLAs/SLOs, quality rules, and self-service access
• Implement DataOps and AI-driven automation to streamline ingestion, transformation, testing, and deployment; enable self-serve discovery and provisioning on approved platforms
• Design robust end-to-end data pipelines (ingest, store, prepare, provision) with scalable orchestration, metadata processing, performance tuning, and cost optimization on sanctioned cloud platforms
• Apply enterprise security controls and approved obfuscation techniques (masking, tokenisation, anonymisation) for safe AI experimentation and compliant data transfer at scale
• Build and maintain exemplar implementations and reusable components for storage, preparation, provisioning, integration, orchestration, transfer, and obfuscation
• Lead and grow onshore and offshore engineering teams; manage suppliers; ensure on-time, high-quality delivery using enterprise tooling and delivery frameworks
• Evaluate and pilot emerging capabilities within guardrails; provide buy-vs-configure guidance and evidence of value and adoption to scale successful patterns

• Extensive data engineering leadership with production-grade data products and platforms for AI/ML and analytics
• Data product and DataOps expertise: contracts, lineage, SLAs, CI/CD for data, automated testing, metadata-driven pipelines
• Integration, orchestration, and storage on modern cloud data platforms with performance and cost optimization
• Security and obfuscation practices in regulated environments
• Architecture and design patterns using enterprise patterns, microservices, event-driven approaches
• Ability to lead at pace in a rapid, evolving business context
• Track record of applying innovative technologies to increase speed, quality and compliance of data
• Partner and vendor management; influence senior collaborators; build high-performing teams

• leadership and people management
• stakeholder influencing and communication
• ability to operate in ambiguous contexts
• DataOps
• data product contracts
• data lineage