Teams at GSK

Leads the end-to-end development and delivery of AI/ML products for pharmaceutical and healthcare applications. Defines product goals, strategy, data requirements, success metrics, and delivery plans; coordinates technical and cross-functional teams; advocates for users; and manages Agile development, AI risk, data governance, ethics, and compliance. Requires expertise spanning machine learning, pharma or drug discovery, basic science, software delivery, and matrix leadership.

Drives AI opportunity discovery, value sizing, prioritization, scoping, prototyping, delivery, measurement, and adoption for manufacturing-site engagements. Partners with forward-deployed engineers and site stakeholders to validate data, model outputs, workflows, and business impact. Produces briefs, value models, decision logs, and scoping documents while coordinating workstreams, supporting rollout, and capturing reusable lessons. Requires hands-on analytical capability, AI/ML fluency, manufacturing understanding, strong communication, and execution in regulated environments.

Own the vision, strategy, and roadmap for digital products supporting Engineering, EHS, and Sustainability at GSK. Translate business needs into prioritized product outcomes, investment proposals, and delivery plans. Guide Product Owners and cross-functional teams through discovery, delivery, adoption, and operations. Identify opportunities for process simplification, automation, data, and responsible AI use while measuring business value, user experience, reliability, and operational performance within enterprise governance requirements.