AI Product Manager, Manufacturing Operations

GlaxoSmithKline plc; Camden Town; On-site; GBP 70,000 - 100,000; Full time

Job summary

GSK's Enterprise AI team is hiring a Product Manager II, AI Product Manager to support forward deployed teams at manufacturing sites. This individual contributor role combines opportunity discovery, value sizing, scoping, prototyping, delivery, and ongoing measurement to ensure AI engagements deliver impact on the floor.

You will work directly with production, planning, quality, and training teams, iterating on data, model outputs, and workflows until the solution is fit for use.

Qualifications

• 5+ years of experience in manufacturing, operations, strategy/consulting, product management, AI/ML product, or analytical roles in pharma, healthcare, or other regulated or tech-led organisations.
• Understanding of manufacturing site operations—production, planning, quality, training.
• Proven track record of delivering projects and driving execution.

Responsibilities

• Run opportunity discovery with site stakeholders and surface AI-shaped problems worth pursuing.
• Build first-cut value cases with assumptions, sizing, and a path to validation using manufacturing metrics.
• Support portfolio prioritization by gathering evidence and testing assumptions.
• Own execution of assigned workstreams from prototype to production, with hands-on data work when needed.
• Collaborate with site stakeholders, run user sessions, and translate feedback into clear asks for engineers.
• Assist with site rollout and adoption through user guides, training, and tracking usage.

Skills

Manufacturing domain knowledge

Operations experience

Strategy consulting

Product management

AI/ML product

Job description

GSK's Enterprise AI team is hiring a Product Manager II, AI Product Manager to support forward deployed teams at manufacturing sites. This individual contributor role combines opportunity discovery, value sizing, scoping, prototyping, delivery, and ongoing measurement to ensure AI engagements deliver impact on the floor.

You will work directly with production, planning, quality, and training teams, iterating on data, model outputs, and workflows until the solution is fit for use.