Senior Product Manager, AI​/ML Platform Products

The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step - change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and Dev Ops, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

• Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”
• Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
• Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time

Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered / LLM-enabled applications.

We are seeking an experienced Senior Product Manager to lead the strategy and delivery of AI / ML platform products – the core platform that powers AI/ML model training and deployment across GSK R &

D. This role is central to establishing a unified, scalable, and governed enterprise approach to AI/ML, ensuring that R&D teams can efficiently build, evaluate, and operationalize models and ultimately deliver new medicines for our patients.

• Own and drive the product vision, roadmap, and adoption of the AI/ML Platform, delivering core capabilities for model training, fine-tuning, evaluation, deployment, monitoring, and lifecycle management.
• Define the strategic direction for foundational AI/ML tooling and ensure platform capabilities meet the needs of diverse R&D model development workflows and scientific applications.

• Conduct ongoing customer discovery with scientists and AI/ML practitioners to identify emerging needs and translate them into actionable product requirements.
• Lead technical product discussions with engineering and scientific leaders to clarify objectives and shape platform direction.

• Collaborate with stakeholders to define platform features, requirements, and success criteria aligned with scientific use cases and business goals.
• Drive agile product execution with engineering and program teams, owning prioritization, backlog management, and delivery of high-quality platform releases.

• Ensure seamless integration with the Data Platform to enable shared data standards and consistent data/model lifecycle management.
• Coordinate and align product roadmap with R&D platforms to ensure interoperability, governance alignment, and a unified enterprise data, compute, AI, and application ecosystem.

• Lead platform launches and change-management activities to ensure clear communication, training, and successful adoption across R&D.
• Monitor platform usage and performance, analyze feedback and telemetry, and drive continuous improvements to enhance usability, reliability, and scientific impact.

We are looking for professionals with these required skills to achieve our goals:

• PhD + 2 years, Masters + 4 years, or Bachelors + 6 years
• 4+ years of experience in product management with a proven track record of delivering AI-powered applications (0-to-1 or scaled products) that solve concrete business or scientific problems in an enterprise or regulated environment.
• Experience defining product strategy for modern applications, including experience working closely with data scientists, ML engineers, and domain experts to shape model requirements, model evaluation frameworks, and end-to-end…