Associate Director, Process Development Lead – Data Science

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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
 

Recently, Gilead launched an Enterprise Data Science Council (EDSC), serving as a central hub to enable and coordinate enterprise-wide data science activities, establish enterprise policies related to Data Governance and AI, and provide visibility into use case investments across the company. The Process Development Lead will be responsible for designing, implementing, and optimizing processes that support the functioning of the EDSC. The position requires high proficiency in process development, proven ability to deliver results, and an understanding of data science (e.g., enterprise data governance and AI governance). The candidate will collaborate with data engineers, scientists, and other leaders to draft well-defined data usage policies, standards, and procedures align with organizational goals and regulatory requirements. The role involves continuous monitoring and improvement of data governance processes to enhance data quality, integrity, security, and compliance across the enterprise.

Key Responsibilities will include, but are not limited to the following:

• Lead the development and maintenance of enterprise data science (e.g., data governance and AI governance) procedural documents, process maps, and community-based materials to support EDSC objectives. 
• Facilitate communication and collaboration across teams to align process development with EDSC objectives.
• Ensure processes comply with relevant regulations and standards (e.g., FDA, EMA) and comply with Good Manufacturing Practices (GMP), Good Clinical Practices (GCP) and Good Laboratory Practices (GLP).
• Work closely with representatives from Research and Development, Manufacturing, Quality Assurance, Regulatory Affairs, and other departments to ensure seamless process integration and change management.
• Coordinate with functional training groups to develop training programs that support council objectives.
• Monitor and report on the effectiveness of data governance and AI governance processes.
• Provide expertise in AI governance to ensure responsible and ethical use of AI technologies.
• Support R&D Quality functions during audits and assessments to identify and mitigate data risks.
   

Qualifications

• 8+ Years with MS/MA or MBA
• 10+ Years with BS/BA
• 2+ Years with a PhD
• Passionate about continuous improvement within the field of data science and establishing new procedures which embrace technological solutions and/or automation via advanced data solutions.
• Mature experience and skillsets in developing process maps and authoring technical and scientific literature.
• Excellent wri