Senior Product Manager

Location

Cambridge 300 Technology Square, Upper Providence, USA - Pennsylvania - Upper Providence

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;

providing best‑in‑class AI/ML and data analysis environments; and 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 applications.

We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the roadmap for Onyx data platform interface and related applications to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards data‑driven decision‑making and will ensure our scientists have access to best‑in‑class technology products to improve research productivity and ultimately deliver new medicines for our patients.

• Product Strategy and
  
  Roadmap:
  
  Develop and execute a comprehensive product strategy and roadmap for Onyx data platform interface and ecosystem applications, aligned with the Onyx's overall product vision and objectives.
• Customer Understanding: Conduct in‑depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements.
• Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals.
• Agile Product Development: Work closely with delivery & assurance and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management.
• GenAI Product and Capability Upgrade:
  • Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation.
  • Design and productize the human‑agent interaction layer, moving beyond traditional UIs to create conversational and goal‑driven interfaces that allow scientists to delegate multi‑step tasks and interpret the outputs of autonomous GenAI systems.
  • Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine‑tuning, and the development of APIs/agents that allow them to be leveraged as “tools” by other agents and systems.
  • Model‑In‑The‑Loop Design:
    Structure products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human‑guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption.
• Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine‑tuning foundational models, vector databases, and multi‑agent system architectures.
• Cross‑Functional
  
  Collaboration:
  
  Collaborate with both tech and RD teams, including Dev Ops & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data…