Director,R&DDataTransformation

The Director, R&D Data Transformation leads the strategic programme of work that drives measurable improvement in the readiness, interoperability and reuse of data across AstraZeneca's R&D data estate. Reporting to the Head of R&D Data Office within Enterprise Data Enablement, this role defines R&D transformation priorities and partners with Data Programmes to execute initiatives that make R&D data AI-ready and "available by default," directly supporting the AI30 ambition and Ambition 2030. The Director leads their team and partners closely with R&D functions, AI for Science Innovation, Enterprise AI Technology, and IT to ensure data flows seamlessly across the R&D lifecycle. **Scope of accountability:** You will lead R&D Data Transformation as an integrated programme within the R&D Data Office directly reporting to the Head of R&D Data Office, with accountability across the following areas: * **R &D Data Readiness:** Define and execute transformation plans that bring R&D data assets to the quality, structure and completeness standards required to power AI, machine learning and advanced analytics at every stage of the R&D lifecycle. * **Interoperability and Standards:** Champion alignment to enterprise and industry data standards (ontologies, vocabularies, schemas, FAIR principles) within transformation initiatives, partnering with the R&D Semantic Layer lead who drives standards adoption across the R&D data estate. * **Data Reuse and Discoverability:** Establish practices, cataloguing and metadata enrichment that maximise findability and reuse of R&D data assets, reducing duplication and unlocking latent value from historical and emerging datasets. * **Transformation Delivery:** Lead a portfolio of transformation initiatives — from assessment and prioritisation through design, execution and benefits realisation — in partnership with platform, technology and change teams. * **Team Leadership:** Build and lead a high-performing team, fostering accountability, collabo