Staff (Director), AI Product Manager for Manufacturing

This role supports GSK's manufacturing sites, which make, test, and release medicines and vaccines safely, compliantly, and at scale. The goal is autonomous manufacturing: production processes and support systems that plan, adapt, and optimise themselves.

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 and change-management discipline.

Responsibilities:

• Define, with leadership, what autonomous manufacturing means for GSK sites, the target state by area, and a staged, funded roadmap.
• Scale the autonomous training content and workforce optimisation programmes to multi-site outcomes.
• Build the case for autonomous production scheduling and other processes, and move the strongest candidates into delivery.
• Make capabilities built at one site (data foundations, agents, optimisation engines) reusable across the network.
• Quickly assess use cases on value, data readiness, feasibility, compliance, and site appetite, and kill weak ideas early.
• Build finance-ready business cases on throughput, OEE, schedule adherence, right-first-time, labour productivity, training cycle time, and cost avoided.
• Own a living view of in-flight, queued, and de-prioritised opportunities with clear rationale, feeding the Enterprise AI portfolio.
• Lead engagements end-to-end with FDE and engineering pods, from scope and success criteria through deployment and hand-over.
• Set milestones, manage dependencies across site, IT/OT, quality, and engineering, and clear blockers from prototype to production.
• Make trade-offs when sponsors compete for capacity, and push back on work that won't move outcomes.
• Build lasting relationships with site, operations, quality, engineering, and learning leaders, and help shape their agenda.
• Co-own change management, from stakeholder mapping and process redesign to training and adoption tracking, so the floor trusts the new way of working.

Requirements:

• Bachelor's degree or equivalent experience in technology, product management, business, or life sciences.
• 12+ years of experience across pharmaceutical, life sciences, or other regulated manufacturing, and AI/ML, digital, or product leadership roles.
• Experience working at, or directly supporting, a manufacturing production site.
• Experience with AI technologies such as large language models (LLMs), agentic systems, optimisation and scheduling methods, or the ML lifecycle.
• Experience delivering AI or digital initiatives from problem framing through production deployment.
• Experience leading change management in operational environments.

Preferred Qualifications:

• Experience leading AI opportunity discovery and use case triage in manufacturing, including prioritising pipelines, making clear go / no-go calls, and shaping a staged roadmap toward autonomous manufacturing.
• Experience building value cases and investment recommendations that withstand finance and senior manufacturing scrutiny, and managing an AI opportunity portfolio.

Salary and Benefits:

• The annual base salary for new hires in this position ranges $171,600 to $286,000.
• The position offers an annual bonus and eligibility to participate in our share-based long-term incentive program.
• Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.