Senior Director Scientific Digital and AI Products
GSK
Summary
To provide senior leadership and end-to-end accountability for CMC's scientific data, application, and AI product portfolio, leading a multidisciplinary team spanning forward-deployed engineering, data and application product management, and agentic AI product strategy. Operating at a senior leadership level, the role sets the integrated vision, strategy, and roadmap that determine how the team's combined engineering, product, and AI capabilities are prioritised, resourced, and delivered to meet CMC's clinical-to-commercial manufacturing and control needs.
Job description
Responsibilities
- Provide senior leadership and line management for the CMC Scientific Data & AI Products team, spanning forward deployment engineering, data and application product management, and agentic AI product strategy, setting a unified direction across the portfolio.
- Own overall accountability for the team's delivery, quality, and value realisation, ensuring the forward-deployed engineering, product management, and AI strategy functions operate cohesively toward shared CMC priorities.
- Set and communicate the integrated strategy and roadmap for CMC's data, application, and agentic AI product portfolio, aligning investment and resourcing decisions across disciplines with functional and enterprise priorities.
- Lead, coach, and develop direct reports and their teams, building capability, succession planning, and career pathways across engineering, product management, and AI product leadership disciplines.
- Act as the senior escalation point and decision-maker for cross-functional trade-offs, resolving competing priorities between deployment, delivery, and strategic AI initiatives.
- Represent CMC's data and AI product capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership, securing sponsorship, resources, and alignment for the portfolio.
- Own the overall governance, data quality, and GxP compliance posture of the team's products and deployments, ensuring consistent standards are applied across all delivery streams.
- Manage the team's budget, headcount, and resourcing, including external technology partners and contractors, allocating capacity across deployment, delivery, and strategic priorities.
- Define and track portfolio-level success metrics, using these to evaluate performance, prioritise investment, and report progress to senior leadership.
- Champion responsible and compliant AI, data engineering, and product management practice across the team, fostering a culture of technical excellence, adoption, and continuous improvement.
Basic Qualifications
- Bachelor's degree in computer science, Data Science, Data Engineering, Artificial Intelligence/Machine Learning, Bioinformatics, Engineering, Life Sciences, or a closely related scientific or technical field.
- 12+ years of progressive experience across data engineering, AI/ML or agentic product management, and software or application delivery, including substantial experience leading and developing multidisciplinary teams that deliver production-grade data and AI-enabled solutions, ideally within a pharmaceutical, CMC, or other GxP-regulated environment, with demonstrated experience managing senior/manager-level direct reports.
- Experience leading, hiring and developing managers and their teams across engineering, product management and AI/data science.
- Strong understanding of forward-deployed engineering, data and application product management, and agentic AI product strategy.
- Excellent stakeholder management and influencing skills.
- Strong track record managing budgets, headcount and resources, including external technology partners and contractors.
- Working knowledge of data governance, model validation, data quality and responsible AI practice in a regulated Good Practice (GxP) environment.
- Strong analytical skills.
- Experience holding senior accountability for production data and AI products, including architecture, delivery and regulatory trade-offs.
- Experience evaluating, governing and negotiating with third-party AI and data platforms, vendors and technology partners.
- Sound commercial and strategic judgement.
Preferred Qualifications
- Master's degree or PhD in a scientific, data science, AI/ML, or engineering discipline, or relevant senior leadership, product, or AI/cloud platform certifications.
- Proven ability to set and communicate integrated portfolio strategy, translating scientific and operational priorities into a clear, resourced roadmap.
- Skilled at coaching and developing talent, building succession plans, and fostering a culture of technical excellence and continuous improvement.
Requirements
- Bachelor's degree in computer science, Data Science, Data Engineering, Artificial Intelligence/Machine Learning, Bioinformatics, Engineering, Life Sciences, or a closely related scientific or technical field
- 12+ years of progressive experience across data engineering, AI/ML or agentic product management, and software or application delivery
- Substantial experience leading and developing multidisciplinary teams delivering production-grade data and AI-enabled solutions
- Experience managing senior/manager-level direct reports
- Experience leading, hiring and developing managers and their teams across engineering, product management and AI/data science
- Strong understanding of forward-deployed engineering, data and application product management, and agentic AI product strategy
- Excellent stakeholder management and influencing skills
- Strong track record managing budgets, headcount and resources, including external technology partners and contractors
- Working knowledge of data governance, model validation, data quality and responsible AI practice in a GxP environment
- Strong analytical skills
- Experience holding senior accountability for production data and AI products, including architecture, delivery and regulatory trade-offs
- Experience evaluating, governing and negotiating with third-party AI and data platforms, vendors and technology partners
- Sound commercial and strategic judgement
Benefits
- Health care
- Insurance benefits
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver leave
- Paid parental leave
- Paid medical leave
- Annual bonus
- Long-term incentive program
Company overview
GSK plc (formerly GlaxoSmithKline) is a British multinational pharmaceutical and biotechnology company headquartered in London, England. Founded in 2000 through the merger of Glaxo Wellcome and SmithKline Beecham, GSK has grown to become one of the world's leading healthcare companies with operations in over 150 countries. The company specializes in researching, developing, and manufacturing prescription medicines, vaccines, and consumer healthcare products. GSK's therapeutic areas include respiratory diseases, HIV/AIDS, oncology, immunology, and infectious diseases. The company is particularly renowned for its vaccine portfolio and has been at the forefront of developing treatments for major global health challenges. With approximately 70,000 employees worldwide, GSK maintains a strong commitment to scientific innovation and has a significant presence in key markets including the United States, Europe, and emerging economies. The company's mission is to unite science, technology, and talent to get ahead of disease together, aiming to positively impact the health of 2.5 billion people by the end of the decade.