AI & Insights - Sr. Manager

Genentech
Genentech logo
Location
South San Francisco
Job Type
Full-time
Posted
April 19, 2026
Views
11
Salary Range
$133k - $299k USD

Job Description

AI & Insights - Sr. Manager

A healthier future. It’s what drives us to innovate. To 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.

The Opportunity:

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.

Key Roles & Responsibilities:

  • Identify and prioritize AI/ML use casesthat 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 standardscovering development, validation, deployment, and lifecycle management.

  • Translate insights into actionby converting complex analytical outputs into clear, executive-ready narratives.

  • Partner with Data Engineeringto 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 decisionsby 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.

Who You Are:

  • Education:Bachelor’s degree in Data Science, Statistics, Finance, Engineering, or a related field; Master’s degree in Analytics, Data Science, or MBA preferred.

  • Experience:8–12+ years of experience in analytics or finance data leadership roles.

  • AI/ML delivery:Proven track record of delivering multiple AI/ML solutions into production environments.

  • Team leadership:Experience managing and developing analytics or data science teams.

  • Model governance:Familiarity with model risk management frameworks and governance standards.

  • Technical skills:Strong foundation in statistical modeling and predictive analytics, with working knowledge of SQL and Python.

  • Communication:Ability to translate complex analyses into clear, compelling insights for executive audiences.

  • Ethics & mindset:Understanding of ethical AI principles, with a responsible and risk-aware approach to model development and deployment.

Location: South San Francisco, CA

Relocation benefits are not available for this job posting.

AI & Insights - Sr. Manager

A healthier future. It’s what drives us to innovate. To 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.

The Opportunity:

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.

Key Roles & Responsibilities:

  • Identify and prioritize AI/ML use casesthat 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 standardscovering development, validation, deployment, and lifecycle management.

  • Translate insights into actionby converting complex analytical outputs into clear, executive-ready narratives.

  • Partner with Data Engineeringto 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 decisionsby 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.

Who You Are:

  • Education:Bachelor’s degree in Data Science, Statistics, Finance, Engineering, or a related field; Master’s degree in Analytics, Data Science, or MBA preferred.

  • Experience:8–12+ years of experience in analytics or finance data leadership roles.

  • AI/ML delivery:Proven track record of delivering multiple AI/ML solutions into production environments.

  • Team leadership:Experience managing and developing analytics or data science teams.

  • Model governance:Familiarity with model risk management frameworks and governance standards.

  • Technical skills:Strong foundation in statistical modeling and predictive analytics, with working knowledge of SQL and Python.

  • Communication:Ability to translate complex analyses into clear, compelling insights for executive audiences.

  • Ethics & mindset:Understanding of ethical AI principles, with a responsible and risk-aware approach to model development and deployment.

Location: South San Francisco, CA

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of San Francisco, CA is $132,900- $299,000.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  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.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this formAccommodations for Applicants.

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Job Information

Source: workday
AI Relevance: 80/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: South San Francisco
Skills & Tags:
genentech pharma

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