# Senior AI Product Manager

**Company**: GSK
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Product Management
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK--London--New-Oxford-Street/Senior--AI-Product-Manager--Process-Development-Science-_450508?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_73827f49-27b

## Description

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.

**Key Responsibilities**

- 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.

- Strategic Prioritization & Portfolio Shaping: Recommend what to start, continue, and stop across your engagements based on evidence, not enthusiasm.

- Engineering Partnership & Enablement: Be the day-to-day strategic partner to FDE pods.

- Stakeholder Alignment & Communication: Operate fluently with Director-level business and scientific stakeholders.

**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.

**Benefits**

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.

## Skills

### Required
- 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

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