Staff, AI Product Manager

Glaxosmithkline; Durham (NC); In loco; USD 180.000 - 230.000; Tempo pieno

Descrizione del lavoro

GlaxoSmithKline is seeking a Staff (Director) AI Product Manager for Manufacturing to own the manufacturing AI portfolio, shape the vision for autonomous manufacturing, and partner with site and network leadership to back the right use cases and see them delivered, adopted, and scaled.

You will scale existing autonomous programmes, such as training content management and production-floor workforce allocation, and shape what comes next, including autonomous production scheduling.

Competenze

• Hands-on understanding of AI and its practical application in manufacturing.
• Strong execution capability to deliver and scale AI initiatives.

Mansioni

• Own the manufacturing AI portfolio and shape the vision for autonomous manufacturing.
• Partner with site and network leadership to back the right use cases and drive delivery, adoption and scale.
• Scale autonomous programmes (e.g., training content management, production-floor workforce allocation) and shape future initiatives (e.g., autonomous production scheduling).

Descrizione del lavoro

GSK's Enterprise AI team turns AI into measurable impact across drug discovery, development, manufacturing, and commercial, with forward deployed teams embedded in the business to build AI products that change outcomes.

This role supports GSK's manufacturing sites, which make, test, and release our medicines and vaccines safely, compliantly, and at scale. Our ambition is autonomous manufacturing: production processes and support systems (training, workforce planning, quality, maintenance, materials) that plan, adapt, and optimise themselves, freeing people for work that needs human judgement.

As Staff (Director), AI Product Manager for Manufacturing, you will own the manufacturing AI portfolio, shape the vision for autonomous manufacturing, and partner with site and network leadership to back the right use cases and see them delivered, adopted, and scaled.

You will scale existing autonomous programmes, such as training content management and production-floor workforce allocation, and shape what comes next, including autonomous production scheduling. You bring a working understanding of AI, hands-on manufacturing experience, and strong execution