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# Director, IT Data and AI Product Owner - Clinical Development

- **Company:** Gilead Sciences Inc.
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Salary:** $226,185.0 - $292,710.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Clinical Data Management, Data Architecture, Machine Learning, Software Product Management, AI-enabled Products, Data Management, GXP, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467492267&tx=FR6764FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

Optional Differentiators

 * Experience applying AI/ML in clinical trials or development.
 * Experience in GxP-regulated environments.
 * Exposure to generative AI use cases.
 * Familiarity with clinical systems and platforms.

## Description

As part of our enterprise AI strategy to accelerate clinical development and deliver therapies to patients faster, we are seeking a Director, IT Data/AI Product Owner - Clinical Development to lead AI/data product strategy across Clinical Development.

In this leadership role, you will define and drive a portfolio-level product vision and roadmap for AI-enabled clinical development capabilities spanning clinical trial operations, clinical data management, regulatory reporting, safety, and study analytics.

You will serve as the IT Data & AI Center of Excellence (COE) lead for Clinical Development AI product/s, acting as the primary interface between Clinical stakeholders and IT, and shaping how AI is applied to improve trial execution, cycle time, data quality, and decision-making. Reporting to the Senior Director, Data & AI, who will oversee a portfolio of AI-enabled products, lead product owners within the clinical development 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., * Define and lead product strategy and multi-year roadmap for AI-enabled clinical development capabilities.

 * Partner with senior clinical development leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases
 * Partner with senior clinical development leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases
 * 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 clinical development decision-support, balancing enterprise priorities, platform constraints and value realization.
 * Align solutions with data architecture, AI/ML capabilities, and platforms.
 * Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops.
 * 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.