Autonomous Manufacturing AI Product Lead

1925 GlaxoSmithKline LLC; Upper Merion Township (Montgomery County); Ibrido; USD 172.000 - 286.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health care and insurance for employee

Retirement benefits

Paid holidays and vacation

Paid caregiver/parental and medical-le

Annual bonus eligibility

Descrizione del lavoro

GlaxoSmithKline plc invites an experienced AI Product Manager for Manufacturing to own the manufacturing AI portfolio and shape the vision for autonomous manufacturing. You will partner with site and network leadership to back the right use cases and deliver, adopt, and scale them across GSK sites.

You will scale ongoing programmes, including training content management and production-floor workforce allocation, and shape future work such as autonomous production scheduling.

Competenze

• Bachelor’s degree or equivalent 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.
• Experience building business cases for manufacturing or operations initiatives.
• Experience as a trusted partner to senior business leaders (VP and site-head level), leading through credibility and influence.
• Working knowledge of GxP and data-governance constraints in manufacturing, and how they shape AI deployment and validation.
• Experience in one or more of: production scheduling and optimisation, workforce or shift planning, learning and training systems, MES/ERP, or Industry 4.0 / smart factory programmes is a strong plus.

Mansioni

• Define autonomous manufacturing vision and staged roadmap with leadership.
• Scale the autonomous training content and workforce optimization programmes across sites.
• Build the case for autonomous production scheduling and other processes.
• Make capabilities built at one site reusable across the network.
• Assess use cases on value, data readiness, feasibility, compliance, and site appetite, and drop weak ideas.
• Build finance-ready business cases on throughput, OEE, schedule adherence, and labour productivity.
• Own a living view of opportunities with clear rationale for the Enterprise AI portfolio.
• Lead end-to-end engagements with engineering pods from scope to hand-over.
• Set milestones and dependencies across site, IT/OT, quality, and engineering.
• Co-own change management, from stakeholder mapping to adoption tracking.
• Coach Senior AI Product Managers on opportunity selection and engagement design.
• Engage VP and site leaders, linking AI progress to manufacturing outcomes.
• Track value realisation against original cases and refine the framework.
• Run post-mortems and feed lessons into opportunity selection and deployment.

Conoscenze

AI Platforms

Change Management

Data Analysis

Feature Prioritization

Machine Learning Model Management

ML Platforms

Model Evaluation

Performance Analysis

Product Delivery

Product Design

Product Lifecycle Management

Product Roadmapping

Roadmap Development

Statistical Analysis

User Needs Analysis

Formazione

Bachelor’s degree or equivalent in technology, product management, business, or life sciences

Strumenti

Descrizione del lavoro

GlaxoSmithKline plc invites an experienced AI Product Manager for Manufacturing to own the manufacturing AI portfolio and shape the vision for autonomous manufacturing. You will partner with site and network leadership to back the right use cases and deliver, adopt, and scale them across GSK sites.

You will scale ongoing programmes, including training content management and production-floor workforce allocation, and shape future work such as autonomous production scheduling.