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 DevOps, 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 GenAI platform products – the core platform that enables development and deployment of GenAI-powered applications, agents, and MCP services.  This platform provides unified access to LLM, embeddings, vector search prompt orchestration, model routing, and agent frameworks, enabling R&D teams to rapidly prototype, operationalize, and scale GenAI solutions and ultimately deliver new medicines for our patients.

Key responsibilities include:

Ownership & Strategy 

• Own and drive the vision, roadmap, development, and adoption of GenAI platform capabilities, ensuring a unified, governed, and high-quality experience for LLMs, embeddings, vector search, prompt orchestration, model routing, agent frameworks, and MCP services. 

• Define the strategic direction for GenAI capabilities, enabling scalable, compliant, production-ready GenAI and agentic applications across R&D. 

Customer & Stakeholder Engagement 

• 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. 

Product Planning & Delivery 

• 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. 

Platform Integration & Governance