AI & Insights - Director

Genentech • Daly City, CA

1d • Onsite

About The Position

A healthier future is what drives us to innovate, continuously advance science, and ensure everyone has access to the healthcare they need today and for generations to come, creating a world where we all have more time with the people we love. This role leads the development and scaling of AI and advanced analytics capabilities within Digital Finance, enabling more predictive insights, robust scenario modeling, and stronger decision intelligence across the organization. With an enterprise-wide impact on financial performance, the position focuses on turning data into actionable insights that support faster, more informed decision-making. The role balances strategic capability building with hands-on oversight of analytics delivery, while driving innovation through the adoption of modern, data-driven approaches that enhance the effectiveness and agility of the finance function.

Requirements

• Bachelor’s degree in Data Science, Statistics, Finance, Engineering, or a related field
• 8–12+ years of experience in analytics or finance data leadership roles
• Proven track record of delivering multiple AI/ML solutions into production environments
• Experience managing and developing analytics or data science teams
• Familiarity with model risk management frameworks and governance standards
• Strong foundation in statistical modeling and predictive analytics
• Working knowledge of SQL and Python
• Ability to translate complex analyses into clear, compelling insights for executive audiences
• Understanding of ethical AI principles, with a responsible and risk-aware approach to model development and deployment

Nice To Haves

• Master’s degree in Analytics, Data Science, or MBA

Responsibilities

• Identify and prioritize AI/ML use cases that deliver measurable business value across finance and enterprise decision-making.
• Lead analytics and data science talent, building a high-performing team focused on impact, quality, and scalability.
• Define model governance standards covering development, validation, deployment, and lifecycle management.
• Translate insights into action by converting complex analytical outputs into clear, executive-ready narratives.
• Partner with Data Engineering to ensure models are effectively deployed into production environments and integrated into workflows.
• Monitor model performance and risk, including accuracy, bias, drift, and compliance considerations.
• Collaborate with senior stakeholders (CFO, USFLT, Global Finance Analytics, RDT Data Engineering) to align on priorities and drive adoption.
• Influence cross-functional decisions by using data-driven insights to inform strategy and operational trade-offs.
• Support proactive issue identification, leveraging analytics to detect trends, risks, and potential conflicts early.
• Build team capability and culture, developing data literacy across finance while coaching analytics talent and fostering strong business translation skills.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• This position also qualifies for the benefits detailed at the link provided below.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees