Director, R&D Information Systems

Job Description

As a Director, R&D Information Systems at Gilead you will lead the clinical operational data and analytics strategy, oversee large‑scale technical projects, and build a high‑performing organization that advances our clinical systems and data initiatives.

• Define and oversee the clinical operational data and analytics strategy for clinical systems (e.g., Veeva, Salesforce, Medidata, custom applications), ensuring alignment with R&D and business objectives.
• Provide strategic leadership across multiple concurrent projects and teams, guiding execution of large‑scale, high‑complexity technical work streams that span multiple business areas.
• Lead and develop a high‑performing organization, including direct people leaders; recruit, grow, and retain diverse top talent; set ambitious goals; and coach individuals on performance, leadership, and career development.
• Shape and drive short‑ and long‑range Clinical Systems strategies and infrastructure plans through deep business, technology, and data expertise.
• Partner with business stakeholders and IT leadership to shape a shared long‑term technical strategy and roadmap for priority capabilities, ensuring strong alignment and coordinated execution across the enterprise.
• Lead solution design and oversee execution of major programs and projects, including assignment of project teams and direction of project leaders; step in as project leader for critical initiatives when needed.
• Ensure on‑time, high‑quality, and within‑budget delivery of the technical roadmap, leveraging strong program governance and proactive risk management.
• Serve as a primary technical and data strategy spokesperson to Clinical Systems, cross‑functional partners, and IT teams, influencing direction and accelerating decision‑making.
• Oversee the design of scalable data architectures across clinical platforms, including data pipelines, APIs, and ETL processes, ensuring secure, interoperable, and analytics‑ready data integration with enterprise systems.
• Partner with Validation and Quality teams to provide oversight for testing, process optimization, and system enhancements, ensuring solutions are aligned with business needs and compliant with GxP and other regulatory requirements.
• Work with business partners and IT teams to optimize R&D applications and clinical systems, driving efficiency, reducing cycle times, and improving overall system performance.
• Provide oversight to ensure timely and accurate delivery of end‑to‑end SDLC project deliverables.
• Safeguard data integrity, audit readiness, and compliance across all clinical data and analytics environments.
• Independently create program‑level budgets and resource plans; identify cross‑project synergies to enhance efficiency, reduce redundancy, and scale best practices.
• Ensure all work adheres to established policies, processes, and regulatory requirements while driving continuous improvement and operational excellence.

• 15+ years of progressive experience in IT data analytics, business intelligence, or related fields, with proven end‑to‑end ownership of complex analytics solutions.
• Bachelor’s or master’s degree in computer science, Data Analytics, or related discipline (or equivalent experience).
• 6+ years of technical project management or relevant leadership experience in a business environment, including multi‑year experience managing project teams.
• Demonstrated excellence in managing complex technical projects and balancing multiple priorities effectively.
• 8+ years of direct people‑management experience.
• 10+ years of experience in the pharmaceutical or healthcare industry, with a deep understanding of data and analytics operations.
• Experience with modern analytics tools, technologies, and cloud‑based platforms, including AWS, AI/ML frameworks, serverless computing, data lakes, and data marts.
• Strong technical expertise in analytics and visualization tools such as Tableau, Power BI, Looker, Qlik, and Thought Spot.
• Working knowledge of cloud ecosystems (AWS, Azure, Google Cloud) and modern data platforms (data lakes, data warehouses).
• Experience developing and operationalizing standards, critical…