Senior, AI Product Manager (Process Development Science)

GSK; United States; Ibrido; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

GSK is seeking a Senior AI Product Manager to shape how AI transforms process development across the globe. You will identify high-impact opportunities, size them, prototype hands-on, and translate them into actionable products for forward deployed engineers.

You’ll work with business and science stakeholders to prioritize value, drive platform thinking for oligonucleotides, ADCs and monoclonal antibodies, and lead self-driving lab initiatives.

Competenze

• Progressive experience in pharma/AI product or strategy roles in technology-led organisations.
• Ability to turn complex problems into structured, sized opportunities with defensible business cases.
• Working knowledge of process modelling, manufacturing and R&D decision workflows.

Mansioni

• Surface and size AI opportunities across engagements and adjacent units; produce one-page briefs for prioritization.
• Develop credible value cases with finance-grade reasoning: cycle time saved, decisions accelerated, revenue uplift, or cost avoided.
• Partner with business stakeholders to prioritize opportunities based on feasibility and value.
• Be the day-to-day strategic partner to FDE pods; convert ambiguity into crisp problem statements, success metrics, and decision frameworks.
• Run engagement structure end-to-end with defined scope, success criteria, and exit conditions.
• Spot reusable patterns to become platform capabilities rather than point solutions.

Conoscenze

AI Platforms

Product Roadmapping

Machine Learning

Strategic Thinking

Stakeholder Management

Communication Skills

Formazione

Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Descrizione del lavoro

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'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.

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.

Requirements

• 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 modelling, 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 modelling 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 modelling, or platform fitness products and programmes.
• 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.

Education

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. Master's degree in Computer Science or related field is advantageous.

What you will gain

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.

Skills

• 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 (PLM)
• Product Roadmapping
• Roadmap Development
• Statistical Analysis
• User Needs Analysis

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.

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, color, 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.

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 [e-mail] 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.

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This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available.