AI Product Manager, Manufacturing Operations

GlaxoSmithKline plc; United Kingdom; On-site; GBP 70,000 - 100,000; Full time

Job summary

GlaxoSmithKline plc is seeking a forward‑deployed AI Product Manager II to partner with manufacturing site teams. You will identify opportunities, size value, scope projects, prototype quickly, and drive delivery with site stakeholders.

The role blends analysis, hands‑on data work, and stakeholder engagement in a fast‑moving pharma setting. You will work closely with site teams on data, model outputs, and workflows, ensuring practical, on‑floor integrations that land at production.

Qualifications

• 5+ years in manufacturing, operations, strategy/consulting, AI/ML product, or analytical roles in pharma/healthcare/tech.
• Understanding of manufacturing site operations (production, planning, quality, training).
• Track record of delivering projects in fast-moving, hands-on environments.
• Willingness to work hands-on with data and tools to prototype quickly.
• Strong analytical and structured-thinking skills; able to translate fuzzy asks into briefs.

Responsibilities

• Identify opportunities with site stakeholders and document value cases.
• Prioritize opportunities and maintain a tidy backlog for decision-making.
• Own execution of workstreams from prototype to production on site.
• Pull data, perform quick analyses or low-code prototyping, and validate model outputs with site users.
• Create artefacts like briefs, value memos, and scoping documents.

Skills

AI product management

Manufacturing domain knowledge

Data analysis

Excel

SQL

Python

Low-code tools

Tools

Excel

SQL

Python

Job description

GlaxoSmithKline plc is seeking a forward‑deployed AI Product Manager II to partner with manufacturing site teams. You will identify opportunities, size value, scope projects, prototype quickly, and drive delivery with site stakeholders.

The role blends analysis, hands‑on data work, and stakeholder engagement in a fast‑moving pharma setting. You will work closely with site teams on data, model outputs, and workflows, ensuring practical, on‑floor integrations that land at production.