Head of Data and Data Science, R&D, ED&AI

1054 GlaxoSmithKline Services Unlimited; United Kingdom; Hybride; GBP 140 000 - 200 000; Plein temps

Résumé du poste

GlaxoSmithKline plc is seeking a Director of Data & Data Science, Development Data, to own strategy, organization, and delivery across R&D data. You will lead a portfolio of data categories, guide investment decisions, and set governance standards while remaining hands-on for coding and model evaluation.

You will shape the data science and AI agenda, manage budgets, and partner with senior leaders to unlock high-value opportunities, ensuring data quality and compliance across R&D data assets.

Qualifications

• Experience leading a data, analytics, or data science org in a regulated environment.
• Experience leading leaders (e.g., product owners, engineering managers) with broad scope.
• Track record of multi-year data and data science strategy with senior stakeholder support.
• Hands-on ability to write code, perform analysis, build and evaluate models, and develop agentic AI systems.

Responsabilités

• Define a multi-year R&D data and data science strategy and translate it into a focused roadmap across R&D Data Categories.
• Lead the R&D Data Category portfolio with clear ownership, a healthy roadmap, and measurable value.
• Direct investment and priorities, balancing engineering, data science, platform capacity, governance, and innovation.
• Build and develop the TDPO organization with hiring, org design, and career development.
• Champion engineering and data science excellence with standards and communities of practice.
• Safeguard data governance, privacy, and audit readiness across R&D data.
• Set the data science and AI agenda in partnership with senior scientific leaders.
• Create and scale agentic AI data science initiatives with human oversight.
• Steward technology, funding, and partnerships—shape architecture, budgets, and supplier relationships.
• Be the voice of the function, communicating portfolio health to senior leaders.

Connaissances

Agentic AI

Artificial Intelligence

Clinical Data

Clinical Development

Leadership

Machine Learning

OpenAI

People Leadership

Product Strategies

Data Governance

Description du poste

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

• 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