Head Of Data And Data Science, R&D, Ed&Ai

Gsk; England; On-site; GBP 150,000 - 210,000; Full time

Job summary

GSK is seeking a seasoned data and data science leader to shape trusted data, analytics, and agentic AI within R&D. As Director of Data & Data Science, Development Data, you will own strategy, governance, and delivery across R&D data categories while remaining hands-on for substantial explorations and model development.

This role balances leadership with deep technical work in a globally impactful environment.

Qualifications

• 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.

Responsibilities

• 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.

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

Job description

Business Introduction

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.

Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

Position Summary

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.

Your responsibilities

• 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.

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

• 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

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

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [e-mail] where you can also request a call.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive.