This role pays more than
59%
of similar roles. Most pay
$161,700–$216,787
— the shaded band above.
At the midpoint, this role pays about
$200k
versus about
$189k
for comparable roles.
Based on 240 similar postings.
Employer
About Genentech
Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.
Genentech currently has
8 open roles
on FindRole.
Listed pay typically runs
$149,400–$277,500
across 8 roles with salary data.
Senior Data Product Manager - Analytics & AI joins the Data, Digital, and Analytics team to drive the development, execution, and optimization of strategic data products with a focus on forecasting and AI strategy. This role involves defining product visions, managing backlogs for predictive models, and leading cross-functional agile squads to deliver scalable solutions. The candidate will establish enterprise data quality frameworks, oversee compliance with HIPAA and GDPR standards, and provide architectural guidance using data mesh, data fabric, and FAIR principles. Key technical requirements include proficiency in SQL, big data technologies, relational and non-relational databases, and cloud platforms like AWS, GCP, or Azure. Additionally, the role requires experience with Semantic Layer concepts and tools such as Informatica Data Quality, Collibra, and Monte Carlo to solve complex healthcare challenges through advanced analytics and automated systems.
Develop and communicate a value-driven vision for forecasting data products and AI integration.
Manage the end-to-end product lifecycle and prioritize backlogs for complex forecasting and AI portfolios.
Act as the primary liaison between business stakeholders and technical teams to manage demand and negotiate priorities.
Establish and maintain enterprise data quality frameworks, including defining metrics and identifying root-cause issues.
Guide cross-functional teams in adhering to modern data architecture principles like data mesh and FAIR standards.
Monitor system health and product usage data to drive innovation through structured experimentation.
Ensure all products comply with data governance policies and regulatory standards such as HIPAA and GDPR.
What we're looking for
Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
5+ years of combined experience in product management, data management, AI, software development, or equivalent experience.
Technical fluency with big data technologies, relational and non-relational databases, SQL, and cloud-based platforms like AWS, GCP, or Azure.
Working knowledge of Semantic Layer concepts, data lifecycle management, enterprise governance frameworks, and FAIR data principles.
Proficiency in modern data observability, quality, governance, and lineage tools such as Informatica Data Quality, Collibra, or Monte Carlo.
Proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to regulatory standards.
Advanced degree such as an MBA or related graduate-level qualification (preferred).
Professional experience in life sciences or other complex data-rich environments, relevant certifications, or experience with CRM systems (preferred).
AI/ML
SQL
AWS
GCP
Azure
Big Data
Data Governance
Agile
Data Mesh
Data Fabric
Semantic Layer
Informatica Data Quality
Collibra
Monte Carlo
CRM
HIPAA
GDPR