Director, R&D Data Transformation
On-site · Barcelona, Catalonia, Spain
Job Summary
Director, R&D Data Transformation leads the strategic programme to improve readiness, interoperability and reuse of R&D data across AstraZeneca's R&D data estate. Defines transformation priorities, partners with Data Programmes to execute initiatives that make R&D data AI-ready and available by default, and leads a team while collaborating with R&D functions, AI for Science Innovation, Enterprise AI Technology, and IT to ensure data flows seamlessly across the R&D lifecycle.Responsibilities include defining and delivering transformation plans to bring R&D data assets to quality, structure and completeness standards for AI/ML and analytics; championing alignment to FAIR principles and data standards; establishing practices for data reuse and metadata enrichment; delivering end-to-end transformation initiatives with governance, stage-gate reviews and post-implementation evaluations; recruiting and developing a diverse team; and partnering with Data Programmes, governance forums and senior stakeholders to secure sponsorship and drive value. Essential skills include degree or equivalent experience, extensive data-transformation leadership, knowledge of FAIR and metadata ontologies, ability to influence senior stakeholders, and experience with enterprise data platforms/clouds; desirable pharma data-domain knowledge and AI/ML readiness experience. This posting emphasizes inclusive culture, data as an enterprise asset, and collaboration across functional leaders to deliver scalable, sustainable data transformation within a regulated pharmaceutical environment.
Required Qualifications
- Degree in life sciences, informatics, data science or a related discipline, or equivalent professional experience
- Extensive experience leading data transformation or data strategy programmes within complex, global organisations; ideally within pharmaceutical R&D or a highly regulated scientific environment
- Strong knowledge of data management principles, FAIR standards, metadata management and ontology frameworks
- Proven ability to influence at senior levels across technical and scientific functions; skilled in translating complex data concepts into compelling business narratives
- Experience leading and developing diverse teams across multiple seniority levels, with a track record of building high-performing, collaborative cultures
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