below marketmost similar roles pay hereabove market
This role pays more than
59%
of similar roles. Most pay
$165,825–$216,912
— the blue band above.
At the midpoint, this role pays about
$200k
versus about
$191k
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
41 open roles
on FindRole.
Listed pay typically runs
$142,200–$264,000
across 18 roles with salary data.
The Senior Data Product Manager, Analytical Data Products joins the Data, Digital, and Analytics team to drive the development and optimization of strategic data products. This role involves defining product visions, managing backlogs, and leading cross-functional agile squads to deliver scalable solutions. You will establish enterprise data quality frameworks, provide architectural guidance on data mesh and data fabric concepts, and ensure adherence to FAIR data standards. Key responsibilities include managing stakeholder demand, overseeing compliance with HIPAA and GDPR, and monitoring system health. The position requires technical fluency in SQL, big data technologies, and cloud platforms like AWS, GCP, or Azure. You will also utilize tools such as Informatica Data Quality, Collibra, and Monte Carlo to solve complex healthcare data challenges and improve patient outcomes.
Develop and communicate a value-driven product vision and roadmap aligned with organizational objectives.
Lead end-to-end execution and backlog prioritization for a complex portfolio of analytical data products.
Act as the primary liaison between business stakeholders and technical teams to manage demand and prioritize requests.
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 to drive innovation through structured experimentation and data-driven decisions.
Oversee compliance with data governance policies and regulatory standards like HIPAA and GDPR.
What we're looking for
You must possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
You must have 5+ years of combined experience in product management, data management, AI, software development, or equivalent experience.
You must demonstrate strong technical fluency with big data technologies, relational and non-relational databases, SQL, and cloud-based data platforms like AWS, GCP, or Azure.
You must have strong working knowledge of Semantic Layer concepts, data lifecycle management, enterprise data governance frameworks, and FAIR data principles.
You must be proficient in modern data observability, data quality, governance, and lineage tools such as Informatica Data Quality, Collibra, or Monte Carlo.
You must have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
You must have exceptional communication and presentation skills to evangelize product vision and influence senior stakeholders without direct authority.
An advanced degree such as an MBA or related graduate-level qualification is preferred.
Professional experience driving digital product operations within life sciences or other complex, data-rich environments is preferred.
Relevant certifications or advanced training in agile product management, modern cloud data architecture, or enterprise data governance is preferred.
Experience with customer data strategy, enterprise omnichannel/digital marketing solutions, or complex CRM systems is preferred.
Experience leading enterprise data or systems projects to establish best practices is preferred.
South San Francisco, CA48 days ago
$140,300–$260,500
AI
ML
SQL
AWS
GCP
Azure
Big Data
Data Mesh
Data Fabric
Data Governance
Data Quality
Data Observability
Informatica Data Quality
Collibra
Monte Carlo
Agile
Data Lifecycle Management
FAIR Data Principles
Semantic Layer
Data product-management
SQL
APIs
Azure Databricks
Delta Lake
Unity Catalog
GenAI
Machine Learning
Data Governance
Data Engineering
Cloud Data Platforms
Lakehouse Architecture
data, lineage
Streaming
Batch Delivery
Data Quality
GCP
BigQuery
Looker
Medallion Architecture
Data Governance
Data Modeling
Dimensional Modeling
AI
ML
Data Strategy
Data Architecture
Schema Design
Predictive Automation
Anomaly Detection
Forecasting