Principal, AI Product Manager

Overview

You will lead GSK’s Enterprise AI efforts for the Global Supply Chain, defining the AI strategy and roadmap in collaboration with senior stakeholders. You will line-manage Product Managers and shape what engineers build to deliver high-impact AI solutions. You will drive cross-functional collaboration with Quality, Manufacturing & Engineering, and other GSC teams to reuse platforms and scale successful engagements. Expect to evaluate opportunities for value, feasibility, and strategic fit, and to translate business problems into fundable AI initiatives. This is an opportunity to connect AI work to patients, science, and shareholder outcomes.

Responsibilities

• Identify high-value AI opportunities across R&D, supply chain, and commercial functions and build a prioritized pipeline
• Develop credible business cases with clear financial and productivity benefits
• Develop domain pattern recognition to frame AI-shaped problems in workflows
• Own and manage the Enterprise AI opportunity portfolio with rationale for prioritization
• Make trade-off decisions and define success metrics to guide engineering work
• Protect engineering focus by saying no to non-scalable opportunities
• Serve as strategic counterpart to engineering leads, translating problems into executable prototypes and metrics
• Define scope, success criteria, and scaling paths for engagements and monitor execution
• Promote re-use and platform leverage, advocating for reusable capabilities
• Engage senior leaders with clear value narratives tying AI to patient and business outcomes
• Establish a value-realization framework and conduct post-mortems to inform future work
• Continuously refine investment thesis on where AI belongs at GSK

Key requirements

• 15+ years of experience spanning pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles
• Proven track record of scoping and delivering high-value AI initiatives from problem framing to delivery
• Deep knowledge of the pharma value chain with exposure to R&D, clinical, manufacturing, or commercial environments
• Strong fluency in modern AI/ML concepts including LLMs, agentic systems, ML lifecycle, data and evaluation patterns
• Experience leading and developing a team of product managers
• Product management or product-strategy background: discovery, sizing, roadmap shaping, prototyping, stakeholder alignment

• strategic thinking
• stakeholder management
• clear and influential communication
• AI/ML platforms
• LLMs and agentic systems
• ML lifecycle

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