Director, IT Data & AI Product Owner – PDM & Tech Ops

Gilead Sciences•Foster City, CA

3h•Hybrid

About The Position

As part of our enterprise AI strategy to accelerate PDM and Tech Ops process and deliver therapies to patients faster, we are seeking a Director, IT Data/AI Product Owner – PDM and Tech Ops to lead AI/data product strategy across PDM and Tech Ops. In this leadership role, you will define and drive a portfolio-level product vision and roadmap for AI-enabled PDM and Tech Ops capabilities spanning Technical Development, Product and Process Development and Quality Areas. You will serve as the IT Data & AI Center of Excellence (COE) lead for PDM and Tech Ops AI product/s, acting as the primary interface between PDM and Tech Ops stakeholders and IT, and shaping how AI is applied to improve knowledge management, Quality processes and decision-making for Technical Development, PD, and Quality. Reporting to the Senior Director, Data & AI, who will oversee a portfolio of AI-enabled products, lead product owners within the PDM and Tech Ops and other domains, and guide cross-functional teams to deliver high-impact solutions at scale. As the IT 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. This position is based in Foster City, CA (hybrid-eligible).

Requirements

Bachelor’s with 12+ years or Master’s/PhD with 10+ years in relevant field.
Strong understanding of clinical development processes including trial operations and data management.
Experience leading AI/data product portfolios and teams.
Strong executive stakeholder engagement and influence skills.
Ability to translate complex business problems into scalable AI solutions.
Knowledge of AI/data platforms (AWS, Databricks).
Experience in Agile product delivery environments.
Strong business acumen and prioritization skills.

Nice To Haves

Experience in PD, Quality systems, and understanding of CMC, manufacturing and supply chain analytics
Experience applying AI/ML in clinical trials or development.
Experience in GxP-regulated environments.
Exposure to generative AI use cases.

Responsibilities

Define and lead product strategy and multi-year roadmap for AI-enabled Technical Development and Quality capabilities.
Partner with senior PDM and Tech Ops leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases.
Lead and mentor AI Delivery Leads, Data Scientists and Product Managers.
Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy.
Establish and scale product operating model for consistency in delivery.
Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations.
Own the end‑to‑end product vision and multi‑year roadmap for a portfolio of AI-enabled capabilities for Technical Development, PD and Quality decision-support, balancing enterprise priorities, platform constraints and value realization.
Align solutions with data architecture, AI/ML capabilities, and platforms.
Ensure adherence to GxP, 21 CFR Part 11, Annex 11 and regulated SDLC process.
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.
Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement.
Identify gaps between current‑state capabilities and target‑state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders.
Ensure compliance with GxP, privacy, and data governance requirements.
Serve as a trusted advisor to clinical development leadership, applying strong business and financial acumen to evaluate trade‑offs and recommend data‑ and AI‑driven solutions.