Senior, AI Product Manager (Tech Transfer & Strategy)
GSK
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Job summary
GSK seeks a Senior AI Product Manager to shape AI-enabled tech transfer strategies within CMC, driving end-to-end design from development to commercial supply. You’ll partner with FDE pods, MSAT, and sites worldwide to define architectures, data flows, and scalable recipes for one-click deployment of new lines and products.
You will shape a performant, AI-native end-to-end process, balancing automation with human oversight while delivering measurable value across NPIs and site operations.
Qualifications
- Strong progressive experience in pharma/AI product or strategy roles in tech-led organisations.
- Track record turning ambiguous problems into structured opportunities with defensible cases.
- Working knowledge of site tech transfer processes (MSAT, supply chain).
- Experience engaging sites and operational teams; turning pain points into AI opportunities.
- Technical fluency in modern AI/ML to design realistic engagements with engineers.
- Experience redesigning business processes in AI-native ways; 10x transformation.
- Proven ability to produce high-quality artefacts and solid discovery foundations.
Responsibilities
- Identify and size AI opportunities across engagements; create one-page briefs.
- Build credible value cases with finance-grade reasoning for time savings or uplift.
- Develop domain knowledge in workflows, data, decisions, and stakeholder ownership.
- Prioritise and sequence work across engagements for impact.
- Define and drive NPI launch strategy; optimize bottlenecks and timelines.
- Lead architecture for AI-enabled tech transfer; connect development, sites, MSAT, supply chain.
- Own tech transfer package content and AI-native maintenance.
- Drive agentification across end-to-end tech transfer; balance automation and human input.
- Lead recipe building for new products for MES with adaptable agent support.
- Partner with FDE pods to turn ambiguity into crisp problems and success metrics.
- Maintain sponsorship with concise updates and risk clarity.
- Track value realisation and feed lessons back into scoping.
Skills
Education
Tools
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.
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 manufacturing sites 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 tech transfer engagement with sites and Contract Manufacturing Organisations (CMOs), and redesign processes at a detailed level. You will shape the strategy to optimize NPI launches, covering site impact assessment, capacity management, digital twins, scenario planning and virtual commissioning of lines, with the goal of one‑click deployment of a new line and product. You will define the target architecture, own the tech transfer package, and drive the AI‑native end‑to‑end process redesign.
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 prioritise.
- 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 Prioritisation & 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.
Tech Transfer Strategy & Agentification
- Define and drive the New Product Introduction (NPI) launch strategy optimisation — identify the bottlenecks and levers that shorten time from late‑stage development to commercial supply, and quantify the impact on launch timelines.
- Lead the architecture definition for AI‑enabled tech transfer — the target process, data and agent architecture connecting development, sites, Manufacturing Science and Technology (MSAT) and supply chain, in partnership with FDE pods and enterprise architecture.
- Own the definition of the tech transfer package — the content, structure, data and knowledge it must carry — and how it is generated, validated and kept current in an AI native way.
- Drive agentification across the end‑to‑end tech transfer process — decide which steps are automated by agents, which keep humans in the loop, and how agents integrate with site systems (Manufacturing Execution System (MES) and others).
- Lead recipe building for new products — translate process knowledge and the tech transfer package into structured, executable manufacturing recipes (e.g. master and control recipes, ISA‑88 style) ready for MES, using agents to draft, check and adapt recipes to each site’s equipment and constraints.
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 realisation 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.
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- 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 GSC and technology transfer processes (sites, MSAT, supply chain), including how decisions actually get made on the ground.
- Proven experience engaging sites and operational teams day to day, building trusted relationships and turning their pain points into AI‑shaped opportunities.
- Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype‑driven choices.
- Proven experience redesigning business processes at a detailed, step‑by‑step level in an AI native way, reaching 10x transformation.
- Strong individual contributor instincts — you produce quality artefacts, not status updates.
- Foundations in product management discovery and value framing.
- Experience working with site MSAT, technology transfer leads, or manufacturing operations teams.
- Experience with Manufacturing Execution Systems (MES) and adjacent site systems (e.g. Laboratory Information Management System (LIMS), Enterprise Resource Planning (ERP), Quality Management System (QMS), historians, electronic batch records), and an understanding of how their data feeds tech transfer and launch readiness.
- Experience building and authoring manufacturing recipes in MES and automation platforms (e.g. PAS‑X, Syncade, DeltaV), and in managing recipe changes across sites.
- Familiarity with DTLS and similar technologies — digital twin, process modelling and simulation tools — and how they inform recipe design, scale‑up and tech transfer decisions.
- Experience working with data analytics, data science, or process science teams to bring a 10x change in modelling, optimisation, and simulation.
- Experience in regulated industries (pharma, healthcare, financial services) and familiarity with good practice regulations (GxP) and data‑governance constraints.
- Prior experience as an AI product manager at an AI‑native company (Anthropic, Palantir, OpenAI, or similar) or at a hyperscaler.
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous.
13th November 2026
This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available.
- HQ Central London or
- Stevenage – This role can be temporarily be based at Stevenage location. However, the Company plans to relocate its offices to Ware, UK. The location of this role will therefore subsequently change to Ware, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.
You are practical, inclusive and open to feedback. You bring technical understanding and strong empathy for users. You work in active voice and keep communication simple. You support colleagues and help teams make confident, evidence‑based decisions. You want to grow your product and security skills while delivering outcomes that matter.
You will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes.
AI Platforms, Change Management, Data Analysis, Feature Prioritisation, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap Development, Statistical Analysis, User Needs Analysis
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
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Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
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