Staff, AI Product Manager

Glaxosmithkline

King of Prussia (PA)

Sur place

USD 180 000 - 240 000

Plein temps

Il y a 3 jours
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Résumé du poste

GSK is seeking a Staff (Director) AI Product Manager for Manufacturing to own the manufacturing AI portfolio and drive autonomous manufacturing initiatives across sites. You will partner with site and network leadership to back the right use cases and see them delivered, adopted, and scaled.

You will scale programs such as training content management and production-floor workforce allocation, and shape next steps including autonomous production scheduling.

Qualifications

  • Experience leading AI product initiatives within manufacturing context.
  • Proven ability to translate AI concepts into deployed production solutions.
  • Strong execution and cross-functional leadership.

Responsabilités

  • Own the manufacturing AI portfolio and define the roadmap.
  • Scale autonomous programmes across plants and networks.
  • Shape autonomous production scheduling and workforce allocation.

Connaissances

AI product management
Manufacturing experience
Stakeholder management

Description du poste

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

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