Director, Data Stewardship Enablement Lead in Stevenage

Company Overview

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting‑edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success.

Job Purpose

Turn stewardship into momentum: Director – Data Stewardship Enablement Lead. If you believe data stewardship should be empowering, intuitive, and value‑creating, this role is for you. We’re looking for a leader who can transform stewardship from an obligation into a core enabler of trusted, reusable data across R&D. This role is about enablement at scale—equipping stewards with the skills, tools, automation, and community they need to embed governance naturally into the flow of work. Your mission is to make stewardship simple, supported, and impactful, so high‑quality, compliant data becomes the default.

Responsibilities

• Define and champion a clear vision for data stewardship enablement as a product that delivers measurable value and supports R&D digital transformation.
• Own the steward enablement roadmap, continuously prioritising initiatives based on steward feedback, adoption metrics, and business impact.
• Design and deliver end‑to‑end enablement programmes, spanning onboarding, training, automation, tooling, and ongoing support.
• Embed stewardship into daily workflows, partnering with platform teams and governance capability owners to reduce manual effort and friction.
• Build and lead a thriving steward community of practice, enabling peer learning, shared problem‑solving, and consistent application of standards across domains.
• Operate within a federated governance model, ensuring stewards are empowered locally while aligned to central patterns and expectations.
• Drive adoption and maturity, influencing across business and technology teams through strong matrix leadership.
• Measure impact through clear KPIs, tracking enablement effectiveness, stewardship maturity, and contribution to data quality and reuse.
• Continuously innovate, bringing emerging best practices in stewardship, enablement, and product management into the programme.

Who You Are

• A builder and enabler who understands that great stewardship is as much about experience and adoption as it is about rules.
• A product‑oriented leader who designs enablement with the user in mind and iterates based on evidence, not assumptions.
• A community‑centric collaborator who thrives on connecting people, sharing knowledge, and scaling good practice.
• Comfortable operating in regulated environments, translating governance expectations into practical, actionable guidance.
• An advocate for stewardship as a strategic capability, not a checkbox.

Basic Qualifications

• Bachelor’s degree in computer science, Data Management, Mathematics, Statistics, Biostatistics, or a related field.
• Excellent communication and stakeholder engagement abilities.
• Strong leadership, team management, and stakeholder engagement skills.
• Demonstrated ability to drive continuous improvement, innovation and manage complex data projects.
• Broad experience in clinical development processes and R&D data lifecycle.
• Experience of hub‑and‑spoke governance models and federated stewardship approaches.
• Experience of policy lifecycle management and governance operating models.
• Demonstrated experience working with policy development, quality systems or standards frameworks within regulated environments.
• Proven capability translating complex technical or regulatory requirements into clear and actionable policies or procedures.
• Proven experience of GxP, data privacy, and regulatory compliance requirements (e.g., GDPR, HIPAA).

Preferred Qualifications

• Master’s degree in Computer Science, Data Management, Mathematics, Statistics, Biostatistics, or a related field.
• Certification in data governance or data management frameworks (e.g., DAMA/DMBOK, DCAM, EDM Council) strongly preferred.
• Experience in AI governance, responsible AI, and machine learning operations (e.g., AI ethics programs, LLMOps/MLOps certificates) strongly preferred.

Benefits and Compensation

The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

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.

Equal Opportunity Statement

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.

Accessibility and Adjustments

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. If you require adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.