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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data and Data Science, R&D, ED&AI - **Company:** GSK - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Clinical Data Repository, Databases, Data as a Services, Information Engineering, Data Governance, Statistical Hypothesis Testing, Machine Learning, Metadata, OpenAI, Technical Data Management Systems, Enterprise Data Management, Technical Debt, Agentic-AI, Build Tools, Software Coding, GXP - **Published:** October 31, 2026 - **Apply:** https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/UK--London--New-Oxford-Street/Head-of-Data-and-Data-Science--R-D--ED-AI_449601-1 ## About the Role We are looking for an accomplished leader who brings the following required skills and experience: * Experience leading a data, analytics, or data science organization in a regulated environment, with accountability for strategy, budget, and multiple direct reports. * Experience leading leaders, such as product owners, engineering managers, or senior individual contributors who own significant scope. * Track record of setting and executing a multi-year data and data science strategy that secured senior stakeholder support and funding. * Technical credibility in data engineering and data science, enabling sound architecture, prioritization, hiring, and escalation decisions. * Willingness and ability to spend at least 50% of working time hands-on-writing code, performing analysis, building and evaluating models, and developing agentic AI systems. * Experience building or deploying agentic AI systems that perform data-science work, including exploration, hypothesis generation, analysis, and insight generation. * Working knowledge of R&D data governance, including blinded and unblinded access, GxP considerations, data privacy, and audit readiness. * Executive communication and stakeholder management skills, with the ability to make portfolio-level trade-offs across competing priorities. Preferred Qualification The following experience would be an advantage: * Prior experience as a Technical Data Product Owner, Data Product Owner, or equivalent domain or category-owning role. * Familiarity with clinical and life-sciences data standards, such as CDISC SDTM/ADaM, OMOP CDM, or IDMP. * Experience operating a formal data-fabric or data-mesh model with domain-oriented ownership and marketplace-style data product discovery at enterprise scale. * Experience building or scaling a data science or AI/ML function; an advanced quantitative or life-sciences degree; or experience with causal machine learning in R&D, clinical, or real-world data., Agentic AI, Artificial Intelligence (AI), Clinical Data, Clinical Development, Database Governance, Data Compliance, Data Science, Data Services, Leadership, Leading by Influence, Machine Learning (ML), OpenAI, People Leadership, Product Strategies, Real World Data, Stakeholder Engagement, Stakeholder Management, Technical Knowledge ## Description Are you a seasoned data and data science leader ready to shape how trusted data, advanced analytics, and agentic AI accelerate R&D decisions? Join GSK's Enterprise Data & AI organization as Director of Data & Data Science, Development Data. You will own the strategy, organization, and delivery of data and data science capabilities across R&D, including a portfolio of R&D Data Categories led by Senior Technical Data Product Owners. In this highly visible leadership role, you will set portfolio strategy, guide people and investment decisions, establish consistent governance and delivery standards, and represent the function with senior R&D and Enterprise Data & AI leaders. You will also remain close to the technology and science: at least 50% of your time will be hands-on-writing code, building and evaluating models, and developing agentic AI systems that perform trusted data-science work with appropriate human oversight., This is an opportunity to build a high-impact function at the intersection of data, science, and AI. Your key responsibilities will include: * Shape the R&D data and data science strategy - define an ambitious multi-year vision and translate it into a focused roadmap across all R&D Data Categories. * Lead the R&D Data Category portfolio - ensure every category has clear ownership, a healthy roadmap, and measurable scientific or business value. * Direct investment and priorities - balance engineering, data science, platform capacity, technical debt, governance, and innovation across the portfolio. * Build and develop an outstanding TDPO organization - set clear expectations, resolve cross-category trade-offs, and lead hiring, organizational design, and career development. * Champion engineering and data science excellence - embed shared standards, strong review practices, and vibrant communities of practice. * Safeguard data governance and compliance - drive consistent quality, metadata, access controls, privacy, and audit readiness across R&D data. * Set the data science and AI agenda - partner with senior scientific leaders to identify, sponsor, and unlock the highest-value opportunities. * Create and scale agentic AI data science - personally build systems that explore data, test hypotheses, run analyses, and generate trusted insights with appropriate human oversight. * Steward technology, funding, and partnerships - shape architecture and tooling, build compelling investment cases, manage budgets, and oversee key supplier relationships. * Be the voice of the function - influence senior R&D and Enterprise Data & AI leaders and communicate portfolio health, adoption, risk, capacity, and value delivered.