Product Director, Molecule Design Products

Overview

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 predictive capabilities and attract top‑tier talent. Aggressively engineering data at scale to unlock the value of combined data assets and predictions in real‑time.

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. This role will design, ship, and evolve the Molecule Design product portfolio, ensuring scientists have access to best‑in‑class technology products to improve research productivity and ultimately deliver new medicines.

• Define and champion the overarching product strategy, vision, and roadmap for the entire Molecule Design product portfolio, ensuring alignment with Onyx’s and GSK R&D’s strategic objectives.
• Oversee the timely delivery of product features and solutions across the portfolio to maximize scientific impact and business outcomes.
• Build, mentor, and lead a high‑performing team of Product Managers and Senior Product Managers, fostering a culture of innovation, user‑centricity, accountability, and continuous professional growth.
• Drive the strategic direction for leveraging Generative AI, LLMs, and autonomous AI agents across the entire Molecule Design portfolio, identifying breakthrough opportunities to automate and enhance complex scientific research tasks.
• Set the vision and execute a comprehensive product modernization strategy, transforming existing legacy tools and solutions to be AI‑ready while ensuring business continuity and minimal disruption to ongoing scientific research.
• Oversee the strategy and development of foundational capabilities (e.g., model‑ready molecule design data products, Model Context Protocol implementations) that underpin and unify our AI‑powered products.
• Establish strategic guidelines for data acquisition, model fine‑tuning, and the responsible deployment of proprietary Generative AI models across the portfolio.
• Champion the strategic approach to human‑AI collaboration and interaction design for the portfolio, ensuring that agentic systems provide intuitive, powerful, and ethical experiences for scientists.
• Foster deep strategic partnerships with executive‑level product, engineering, and scientific leadership. Influence key stakeholders across R&D, Tech, and partner functions to align on product vision, secure resources, and drive adoption.
• Identify, evaluate, and champion significant strategic market opportunities and external partnerships. Lead critical buy‑vs‑build decisions for core capabilities across the Molecule Design product portfolio.
• Define and oversee the strategic framework for portfolio‑level performance metrics, governance guidelines, and continuous improvement mechanisms for all AI‑powered molecule design products.
• Ensure responsible AI practices and data governance are embedded throughout the product lifecycle.
• Provide strategic guidance on the technical architecture and infrastructure required to build and scale the Molecule Design product portfolio, including cloud‑native solutions, data pipelines, and multi‑agent system architectures.

• Bachelor’s degree in a technical or scientific field, with a focus on computational science, biomedical sciences, AI, data science, software engineering, or a related discipline.
• Significant experience in product management, with a substantial amount in a leadership role and a proven track record of driving significant product modernization initiatives.
• Proven track record of defining and executing a product strategy for a portfolio of 0‑to‑1 products or product lines, specifically in the life science domain, including the strategic transformation of existing products.
• Demonstrated expertise in Generative AI, LLMs, and autonomous AI agents, including a deep understanding of their application in complex…