Sr Manager - Data/AI Product Owner, International Commercial in Uxbridge

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.

As part of our enterprise AI strategy to speed life-changing therapies to patients, we are seeking a Data/AI Product Owner to drive the AI/data product strategy within IT for Commercial Reporting & Analytics. Serving as the primary liaison between commercial stakeholders and technical teams, you will translate ambiguous and evolving commercial needs into a clear, prioritized product roadmap, define success metrics tied to measurable business outcomes and influence both near-term delivery and longer-range data and AI platform evolution.

As the product owner, you will own the product vision, roadmap and stakeholder engagement for AI-enabled reporting, planning and analytics use cases while understanding the technical architecture required to deliver solutions. Reporting to the Senior Director, International Commercial - Data & AI (IT), you will collaborate closely with the Comm Ops business, IT Data/AI Delivery Lead and technical teams to prioritize features, define success metrics, and drive user adoption across the Commercial organization (International). As the lifecycle owner of a portfolio of solutions, you will continuously improve financial decision making at Gilead through AI.

• Own the end-to-end product vision and multi-year roadmap for a portfolio of AI-enabled capabilities for commercial use cases, balancing enterprise priorities, platform constraints and value realization.
• Partner with Business to identify pain points, define high-value AI and advanced analytics opportunities, and develop compelling business cases.
• Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations.
• Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy.
• Identify gaps between current-state capabilities and target-state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders.
• Define and track success metrics such as cost reduction, productivity gains, user adoption, and satisfaction; use insights to guide continuous improvement.
• Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops.
• Facilitate working sessions and design workshops with Commercial stakeholders, data scientists, engineers, and architects to align on solution design and trade-offs.
• Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement.
• Serve as a trusted advisor to Commercial leadership, applying strong business and financial acumen to evaluate trade-offs and recommend data- and AI-driven solutions.

• Bachelor’s degree with extensive years of relevant experience or Master’s degree with extensive years of relevant experience in product management, analytics, data, or related disciplines.
• Deep understanding of commercial processes.
• Demonstrated experience as a Product Owner or Product Manager, with a strong track record of translating business needs into scalable data and AI solutions.
• Strong stakeholder management and influence skills, including the ability to operate as a trusted advisor to senior Commercial leaders.
• Demonstrated business and financial acumen with the ability to evaluate ROI, cost-to-value trade-offs and long-term platform investments.
• Solid understanding of data and AI architecture concepts, with the ability to discuss design options and trade-offs with engineering and data science teams.
• Familiarity with SAP and modern data platforms such as Databricks and AWS.
• Proven experience working in Agile/Scrum environments, using metrics-driven approaches to guide prioritization and delivery.
• Ability to operate with minimal direction, exercising sound judgment, initiative, and accountability consistent with an Associate Director-level individual contributor role.