Product Manager II, AI Product Manager

GSK's Enterprise AI team translates the promise of AI into measurable impact across drug discovery, development, manufacturing, and commercial. As a Product Manager II, AI Product Manager, you will support forward deployed teams working with GSK's manufacturing sites.

This is an individual contributor role for someone early- to mid-career who is hungry to do the analytical, hands-on, and stakeholder-facing work that makes AI engagements succeed: opportunity discovery, value sizing, scoping, hands-on prototyping, delivery, and ongoing measurement.

Key Responsibilities

• Opportunity Identification & Value Sizing: Run opportunity discovery with site and business stakeholders to surface AI-shaped problems worth pursuing. Build first-cut value cases with clear assumptions, rough sizing, and a credible path to validation.
• Strategic Prioritization & Portfolio Shaping: Help senior team members prioritize by gathering evidence, building comparison views, and pressure-testing assumptions.
• Execution & Hands-On Delivery: Own the execution of assigned workstreams, plans, actions, dependencies, and follow-through.
• Engineering Partnership & Enablement: Be a working partner to FDE pods, sit close to the work, capture decisions, surface blockers, and turn them into clear asks for stakeholders.
• Stakeholder Alignment & Communication: Run productive working-level meetings with site and business stakeholders.
• Measurement, Learning & Iteration: Track engagement outcomes against the value case and flag drift early.

What You Bring

• 5+ years of experience in manufacturing, operations, strategy/consulting, product management, AI/ML product, or analytical roles in pharma, healthcare, or other regulated or technology-led organisations.
• Understanding of the manufacturing business , how production, planning, workforce, quality, and training work at a site.
• A track record of execution: getting projects delivered, not just planned, in a fast-moving, hands-on environment.
• Willingness and ability to get hands-on with data and tools (for example Excel, SQL, Python, or low-code tools).
• Strong analytical and structured-thinking skills.
• Comfortable technical fluency in modern AI/ML.
• Excellent written and verbal communication.

Skills Profile

• AI Opportunity Identification: Conducts structured stakeholder interviews, workflow walkthroughs, and site visits to surface AI-shaped problems.
• Value Architecture & Business Case: Builds first-cut value cases with stated assumptions, rough sizing, and a credible path to validation.
• AI Product & Engagement Strategy: Owns the execution of assigned workstreams end-to-end.
• Technical Fluency & AI Literacy: Comfortable technical fluency in modern AI/ML.
• Stakeholder Influence & Executive Alignment: Runs productive working-level meetings.
• Operating Model & Craft: Thinks with structured, logical reasoning.