Senior Product Manager, AI/ML

GSK; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

GSK in London is seeking a Senior Product Manager for AI/ML to lead end-to-end development of AI-driven products that support drug discovery and healthcare outcomes. You will work with cross-functional teams and engage with senior leaders to framing problems, set success metrics, and deliver impactful solutions.

You will drive data requirements, apply software engineering best practices, run Agile cycles, and ensure alignment across stakeholders while upholding GSK's governance, ethics, and

Qualifications

• Advanced degree or substantial practical experience in pharma, drug discovery, or ML.
• Deep expertise in biology, chemistry, physics, or mathematics.
• Experience turning strategy into action with clear objectives.

Responsibilities

• Define goals, rationale, and success metrics for each AI product.
• Translate data and delivery strategy into concrete execution plans.
• Apply software engineering best practices and agentic architectures to drive product decisions.
• Keep cross-functional teams aligned on goals, timelines, and priorities.
• Run Agile iterations with continuous inspection and improvement.
• Define data requirements and sequencing to support model delivery.
• Contribute to AI Risk register and uphold data governance and compliance standards.

Skills

Pharma/Drug discovery ML

Strategic thinking

Matrix leadership

Education

Advanced degree in pharma/biology/chemistry/physics/math

Job description

GSK is a global biopharma company with a stated purpose of uniting science, technology, and talent to get ahead of disease. It develops specialty medicines and vaccines across four therapeutic areas: respiratory and immunology, oncology, HIV, and infectious diseases. The company aims to positively impact the health of 2.5 billion people by the end of the decade.

The role

The Senior Product Manager, AI/ML sits within GSK's Digital and Technology function in London. The role exists to lead the end-to-end development of AI-driven products that support drug discovery and healthcare outcomes. You would work independently on complex problems, collaborating with internal and external technical teams, and engaging directly with senior leaders across the organisation.

What you would do

• Define the goals, rationale, and success metrics for each AI product, articulating clearly what is being built and why.
• Translate the broader data and delivery strategy into concrete execution plans and ensure those plans are carried through.
• Apply knowledge of software engineering best practices, coding, and agentic frameworks to drive product development decisions.
• Keep cross-functional teams and stakeholders aligned on goals, timelines, and priorities throughout the product lifecycle.
• Run Agile iterative development cycles, with a focus on continuous inspection, adaptation, and improvement.
• Act as the voice of the user through thorough discovery processes, identifying and addressing unmet needs.
• Define and drive data requirements and sequencing strategies to support model development and timely delivery.
• Contribute to the AI Risk register and uphold GSK's data governance, ethics, and compliance standards.

What they are looking for

• An advanced degree and/or substantial practical experience in pharma, drug discovery, or machine learning.
• Deep expertise in a basic science discipline such as biology, chemistry, physics, or mathematics.
• Ability to define strategy and translate it into action with a clear narrative, setting objectives and delegating effectively.
• Sound, evidence-based decision-making that balances pace, rigour, and risk.
• Experience managing in a matrix organisation and holding teams to high performance standards.
• Resilience, a commitment to quality, and a track record of leading change initiatives.
• Preferred: expertise in medical imaging, computer vision, computational pathology, cellular imaging, or spatial biology.
• Preferred: experience in clinical or late-stage applications and patient outcomes.
• Preferred: hands-on experience with software product management, coding, software engineering, and agentic architectures.
• Preferred: demonstrated ability to influence and negotiate across management levels and functional boundaries.

Working arrangements

The role is based in London, UK, and operates on a hybrid (remote and on-site) basis.