Staff AI Product Manager

GSK's Enterprise AI team turns the promise of AI into measurable impact across drug discovery, development, manufacturing, and commercial. As Staff AI Product Manager, you'll own a major slice of our opportunity portfolio, shaping how AI transforms GSK's process development worldwide.

You will:

• Own a domain or capability area within the Enterprise AI opportunity portfolio.
• Identify, size, and shape its highest-value AI opportunities.
• Partner daily with FDE and full-stack engineering leads to steer engagements end-to-end.
• Build the business and executive alignment FDEs need to land and scale.

Responsibilities include:

• Find high-value AI opportunities in your domain and rank them by impact, feasibility, and time-to-value.
• Quantify value rigorously with business cases that withstand finance and senior leadership scrutiny.
• Spot AI-shaped problems in workflows before the business has articulated them.
• Co-lead the self-driving labs redesign, defining the 2033 vision and roadmap for lab automation with FDE pods and automation teams.
• Drive 10x in silico modeling by co-leading the digital twin agenda with an end-to-end platform mindset.
• Accelerate molecule onboarding by defining platform fitness and tracking progress toward halving development time.
• Shape your domain's portfolio, keeping a living view of in-flight, queued, and de-prioritized opportunities.
• Make trade-off recommendations when sponsors compete for FDE pods, backed by clear metrics and analysis.
• Protect engineering focus by pushing back, with evidence, on low-impact opportunities.
• Partner with FDE and full-stack leads, turning ambiguous problems into clear problem statements, prototypes, and success metrics.
• Shape engagements end-to-end: scope, success criteria, exit conditions, and scaling paths.
• Drive reuse by turning one-off solutions into platform capabilities.
• Engage VP-level leaders to turn ambitions into concrete, fundable AI engagements.
• Build sponsor coalitions that secure data access, change commitment, and air cover.
• Communicate impact in terms of patients, science, and enterprise outcomes.
• Apply the value-realization framework to every engagement and refine it as you learn.
• Run honest post-mortems and feed lessons into opportunity selection.