Senior, AI Product Manager (Process Development Science)

GSK; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Job summary

GSK Enterprise AI in the United Kingdom is seeking a Senior AI Product Manager to shape how AI transforms our drug development and manufacturing platforms. You will partner with scientists, engineers and business leaders to identify opportunities, size value, and turn complex problems into actionable plans that engineers can implement.

You will lead prioritization, define success metrics, and ensure cross-functional delivery, while helping scale self-driving lab initiatives and digital workflows

Qualifications

• Strong progressive experience in pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations.
• A track record of turning complex business problems into structured, sized opportunities with defensible business cases.
• Experience collaborating with scientists, engineers, and business stakeholders to drive value.

Responsibilities

• Identify opportunities across engagements and size value with credible business cases.
• Prioritize work streams and sequence initiatives for impact in sprints and beyond.
• Partner with FDE pods and engineering to turn ambiguity into crisp problem statements and measurable success criteria.
• Maintain sponsor confidence with concise updates, risk calls, and clear asks; track value realization.

Skills

AI/ML product

Pharma/Life sciences

Product management

Strategy & prioritization

Job description

About GSK Enterprise AI

Enterprise AI is GSK's centre of gravity for applied artificial intelligence. We pair forward deployed engineers and full-stack engineers with scientific, clinical, and business teams to build AI products that get used - not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients.

GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team - we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.

Position Summary

GSK's Enterprise AI team translates the promise of AI into measurable impact across drug discovery, development, manufacturing, and commercial. Forward deployed teams embed directly with scientific and business teams to build AI products that change outcomes.

This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured, quality-assured medicine; its mission is to get safe, effective, consistently manufactured medicines to patients, faster. Its current mission is to double New Product Introductions (NPIs).

As a Senior AI Product Manager, you'll help shape how AI transforms GSK's process development around the world: identifying where it will deliver the greatest value and keeping our teams always focused on the highest-impact opportunities. You'll partner closely with business stakeholders to prioritize opportunities based on feasibility and value. You'll take a complex business problem, structure it, size the value, prototype hands-on, and turn it into something a forward deployed engineer (FDE) can build against.

You will run the day-to-day AI opportunities in the process development science for R&D. You will redesign the business platform thinking for oligonucleotides (oligos), antibody-drug conjugates (ADCs) and monoclonal antibodies, and foster our self-driving labs initiatives to automate the physical space. This will support in silico modeling and platform fitness, especially in a 10x transformation. You will work hand in hand with the data analytics team in process science and partner with the R&D Tech teams, and our shared focus is to bring a 10x change in the way we do modeling, optimization, agentic workflows, document authoring and physical AI for simulation. You bring creativity grounded in the business reality and the AI art of the possible, with the execution mastery to deliver measurable impact.

Key Responsibilities

• Opportunity Identification & Value SizingSurface and size AI opportunities across your assigned engagements and adjacent business units; produce one-page opportunity briefs that are easy to compare and prioritize.Build credible value cases with finance-grade reasoning behind cycle time saved, decisions accelerated, revenue uplift, or cost avoided.Develop hands-on domain knowledge in your engagement areas - workflows, data, decisions, and the people who own them.
• Strategic Prioritization & Portfolio ShapingRecommend what to start, continue, and stop across your engagements based on evidence, not enthusiasm.Sequence work for impact. Help engineering leads decide what is in scope this sprint, what is next, and what is out.
• Engineering Partnership & EnablementBe the day-to-day strategic partner to FDE pods. Convert business ambiguity into crisp problem statements, success metrics, and decision frameworks engineers can act on.Run engagement structure end-to-end. Scope, success criteria, exit conditions, scaling pathways - drafted, agreed, and revisited.Spot reusable patterns that should become platform capability instead of point solutions.
• Stakeholder Alignment & CommunicationOperate fluently with Director-level business and scientific stakeholders. Run working sessions that move things forward and produce decisions, not just notes.Maintain sponsor confidence with concise updates, honest risk calls, and clear asks. Measurement, Learning & IterationTrack value realization on each engagement against the case you wrote up front.Capture lessons rigorously and feed them back into how the team scopes the next engagement.

Why You !

We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

Required Experience

• Strong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations.
• A track record of taking complex, ambiguous business problems and turning them into structured, sized opportunities with defensible business cases.
• Working knowledge of process modeling, m