Senior, AI Product Manager (Process Development Science)

Job description

Senior, AI Product Manager (Process Development Science) 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 This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Opportunity Identification & Value Sizing Surface 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 Shaping Recommend 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 & Enablement Be 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 & Communication Operate 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 & Iteration Track 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, manufacturing and laboratory content in R&D, including how decisions actually get made on the ground. Proven experience redesigning the business platform thinking for drug modalities such as oligonucleotides, antibody-drug conjugates (ADCs) and monoclonal antibodies. Proven experience identifying opportunities in self-driving labs to automate the physical space, and across in silico modeling and platform fitness, and shaping them to deliver a 10x change. Proven experience designing the strategy of multi-initiative workstreams: capturing opportunities embedded in the business, sizing value, and owning outcome-based delivery. Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype-driven choices. Strong individual contributor instincts — you produce quality artefacts, not status updates. Preferred Experience Experience in process development or manufacturing for oligonucleotides, ADCs or monoclonal antibodies. Experience with self-driving labs and lab automation of the physical space, in silico modeling, or platform fitness products and programs. Experience working with data analytics, data science, or process science teams to bring a 10x change in modeling, optimization, and simulation. Experience in regulated industries (pharma, healthcare, financial services) and familiarity with good practice regulations (GxP) and data-governance constraints. Preferred Experience Experience in process development or manufacturing for oligonucleotides, ADCs or monoclonal antibodies. Experience with self-driving labs and lab automation of the physical space, in silico modeling, or platform fitness products and programs. Experience working with data analytics, data science, or process science teams to bring a 10x change in modeling, optimization, and simulation. Experience in regulated industries (pharma, healthcare, financial services) and familiarity with good practice regulations (GxP) and data-governance constraints. Education Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous. Ready to apply? If this role excites you and matches your experience, we would love to hear from you. Please submit your application and a short note telling us why you want to join and what you would bring to this role. We look forward to hearing from you. If you need adjustments during the process, tell us and we will support you. (Please take a personal copy of the Job Description, as this will not be available online post closure of the advert) Closing Date:   13th November 2026 Working Pattern This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available. Locations: 1) HQ Central London or 2) Stevenage - This role can be temporarily be based at Stevenage location. However, the Company plans to relocate its offices to Ware, UK.