Director, Advanced Analytics Architecture & Operations

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.
 

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

Job Description
 

Title: Director, Advanced Analytics Architecture & Operations

Job Description

Gilead's mission is to discover, develop, and deliver therapies that will improve the lives of patients with life-threatening illnesses worldwide. Gilead Sciences is seeking a Director, Advanced Analytics to lead the strategy, delivery, and evolution of advanced analytics capabilities within the Data Science Development Systems team. This role is responsible for shaping and executing the technology roadmap for analytics platforms, data science enablement, GenAI solutions that support clinical development and broader business priorities. The Director will provide strategic and technical leadership to cross-functional teams, partner closely with business and technology stakeholders, and guide engineering teams in delivering scalable, compliant, and high-impact solutions.

This is a site based position at our global headquarters in Foster City, CA.

Specific duties, job functions:

• Define and execute the advanced analytics technology strategy, translating business priorities into scalable, compliant, and high-value analytics solutions.
• Lead the business and technology vision for GenAI and advanced analytics initiatives, including trial protocol digitization, large-scale medical imaging analytics, and other emerging data science capabilities.
• Lead the open-source strategy for advanced analytics, including evaluating and governing open-source tools, frameworks, and communities to accelerate innovation while ensuring security, compliance, sustainability, and alignment with enterprise technology standards.
• Partner with IT and enterprise technology leaders to define and align the overall AI and analytics strategy, ensuring clear prioritization, architectural consistency, governance, and delivery of capabilities that support development and broader business objectives.
• Provide leadership and oversight to engineering and analytics delivery teams, ensuring effective execution of key initiatives, alignment with stakeholder needs, and delivery of robust, enterprise-ready solutions.

Basic Qualifications

• B.S. or advanced degree in a technical, scientific, or quantitative discipline, with significant experience leading advanced analytics, data science, or enterprise analytics technology capabilities.
• Demonstrated ability to translate complex business, clinical, and scientific needs into strategic analytics solutions across advanced analytics, and data science domains.
• Strong ability to integrate deep functional expertise, technical judgment, and life sciences domain knowledge to influence strategy, investment decisions, and delivery priorities.
• Proven experience leading technical, engineering, or analytics teams, including setting direction, developing talent, and driving execution through ambiguity.
• Extensive experience delivering scalable, secure, and compliant cloud-native analytics platforms, including use of Infrastructure-as-Code, automation, and modern software engineering practices.
• Working knowledge of modern analytics technologies, including Python, relational databases, cloud data platforms, and data science enablement tools, with the ability to guide technical teams and evaluate architectural trade-offs.
• Demonstrated leadership in developing and operationalizing AI, machine learning, or GenAI capabilities, including establishing governance, prioritizing high-value use cases, and guiding teams in responsible, compliant adoption.
• Experience establishing and scaling MLOps practices, including model lifecycle mana