below marketmost similar roles pay hereabove market
This role pays more than
57%
of similar roles. Most pay
$167,925–$218,500
— the blue band above.
At the midpoint, this role pays about
$200k
versus about
$193k
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
39 open roles
on FindRole.
Listed pay typically runs
$142,200–$264,000
across 16 roles with salary data.
The Senior Data Product Manager - Analytics & AI joins the Data, Digital, and Analytics team to drive the development and optimization of strategic data products. This role focuses on forecasting data products and providing AI context and strategy support. You will lead the end-to-end product lifecycle, manage backlogs, and mentor agile squads to deliver scalable solutions. Key responsibilities include establishing enterprise data quality frameworks, guiding architectural principles like data mesh and FAIR standards, and ensuring compliance with HIPAA and GDPR. You will utilize SQL, big data technologies, and cloud platforms such as AWS, GCP, or Azure. Proficiency with tools like Informatica Data Quality, Collibra, and Monte Carlo is required. You will solve complex healthcare challenges by integrating analytics into digital platforms to improve patient outcomes.
Develop and communicate a value-driven vision for forecasting data products and AI integration.
Lead end-to-end execution and backlog prioritization for a portfolio of Forecasting and AI data products.
Act as the primary strategic liaison between business stakeholders and the data product technology team.
Establish and maintain an enterprise data quality framework to ensure data integrity and performance.
Guide cross-functional teams in adhering to modern data architecture principles and FAIR data standards.
Monitor system health and product usage data to drive innovation and maximize ROI.
Oversee compliance with data governance policies and regulatory standards like 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 data platforms like AWS, GCP, or Azure.
Working knowledge of Semantic Layer concepts, data lifecycle management, enterprise data governance frameworks, and FAIR data principles.
Proficiency in modern data observability, data 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 governance and regulatory standards.
Advanced degree such as an MBA or related graduate-level qualification (preferred).
Professional experience driving digital product operations within life sciences or other complex, data-rich environments (preferred).
South San Francisco, CA47 days ago
$140,300–$260,500
AI/ML
SQL
AWS
GCP
Azure
Big Data
Data Mesh
Data Fabric
Semantic Layer
FAIR Data
Informatica Data Quality
Collibra
Monte Carlo
Data Governance
Data Quality
Agile
CRM
Data Observability
Generative AI
Machine Learning
APIs
Data Modeling
Data Governance
Snowflake
Databricks
Microsoft Azure
Amazon Web Services
Google Cloud
Data Pipelines
Knowledge Graphs
Retrieval Architectures
Large Language Models
Data Quality
Observability
Generative AI
Machine Learning
APIs
Data Modeling
Data Governance
Snowflake
Databricks
Microsoft Azure
Amazon Web Services
Google Cloud
Data Pipelines
Knowledge Graphs
Retrieval Architectures
Data Quality
Observability