Head of Data and Data Science, R&D, ED&AI
About the role
Shape the R&D data and data science strategy —
Lead the R&D Data Category portfolio —
Direct investment and priorities —
Build and develop an outstanding TDPO organization —
Champion engineering and data science excellence —
Safeguard data governance and compliance —
Set the data science and AI agenda —
Create and scale agentic AI data science —
Steward technology, funding, and partnerships —
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.
Why You?
Basic Qualification
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.
Closing Date for Applications: 13th November 2026
#GSK-LI #AGTech
Skills
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
Uniting science, technology and talent to get ahead of disease together.
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Not included in the source posting: about the role, qualifications, benefits.
Skills
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