Genentech · 19 hours ago
Senior Data Product Manager
South San Francisco, CA
Full-time
Hybrid
Senior Level
$140K/yr - $261K/yr
5+ years expGenentech is dedicated to solving complex healthcare challenges and improving patient outcomes. The Senior Data Product Manager is responsible for the development, execution, and optimization of data products, focusing on translating business needs into product requirements and managing the product lifecycle.
BiotechnologyLife ScienceManufacturing
Responsibilities
Partner with the Principal Data Product Owner to support the creation of data product roadmaps, including features, timelines, and dependencies
Develop and communicate a clear, value-driven product vision that aligns with broader organizational objectives and business needs
Act as a point of contact for inquiries and demand requests related to our data products, effectively serving as the liaison between business stakeholders and the data product technology team
Monitor and measure the performance of the data product in collaboration with IT partners, identifying opportunities for optimization and ensuring it consistently delivers value to stakeholders
Collaborate with cross-functional teams and technology partners to identify and acquire data sources that meet business product requirements and strategic objectives, ensuring alignment with broader data enablement strategies
Maintain and prioritize the data product backlog, ensuring it addresses the requirements of both single and multiple business use cases enabled by the product
Collaborate with cross-functional teams to design, test, and release data product enhancements, ensuring data quality, usability, and seamless integration with business workflows
Guide the cross-functional team in adhering to data mesh and data fabric principles, ensuring the product complies with established standards and supports scalability
Engage with business leaders and end-users to advocate for the data product, fostering trust and collaboration
Facilitate the adoption and integration of tools and platforms that support data exploration, analytics, and visualization, in collaboration with technical counterparts
Establish and maintain a comprehensive data quality framework that aligns with Genentech’s strategic objectives and regulatory requirements
Collaborate with data governance teams to ensure proper stewardship and accountability for data assets
Define key data quality metrics and partner with relevant teams to ensure visibility into data integrity and performance
Identify, prioritize, and address data quality issues, driving root-cause analysis and remediation efforts
Partner with data stewards, data engineers, and business units to understand data needs and challenges
Act as a liaison between technical and non-technical teams to ensure alignment on data quality priorities
Foster a culture of data excellence by providing training and education on data quality best practices
Oversee compliance with data governance policies, ensuring adherence to regulatory standards such as HIPAA, GDPR, and other industry guidelines
Comply with all laws, regulations and policies that govern the conduct of Genentech activities
Qualification
Required
Bachelor's degree in business, technology, operations, science, marketing, or a related field
5 years of combined experience in product management, data management, AI, software development, or equivalent experience
Demonstrated success managing product initiatives with a clear focus on driving tactical execution and operational improvements
Proven ability to work effectively with cross‑functional teams to develop and execute product roadmaps, ensuring alignment on feature development and rollout
Experience with sole ownership of tactics or product components, with the ability to articulate business problems, identify solutions, and drive execution from strategy through implementation
Demonstrated ability to develop and execute product roadmaps, including feature planning, timelines, and dependencies
Experience with User Acceptance Testing (UAT) and successfully rolling out new features across various user bases
Strong analytical and problem-solving skills with experience in driving experimentation and optimization
Proven success in aligning stakeholders and collaborating with cross‑functional teams to achieve seamless product integration
Exceptional communication and presentation skills, with the ability to evangelize product vision and value across all levels of an organization
Proven ability to adapt and navigate ambiguous or evolving environments
Strong skills in budget management, resource allocation, and stakeholder alignment for cross-functional collaboration
Analytical skills to interpret product usage data and system health metrics, driving actionable insights
Strong knowledge of data quality frameworks, data governance principles, and data lifecycle management
Knowledge of data governance frameworks and FAIR data principles
Proficiency in data observability, data quality, data governance and data lineage tools (e.g., Informatica Data Quality, Collibra, MonteCarlo, etc.)
Strong knowledge of big data or database technologies, relational and non-relational databases, SQL, and cloud-based data platforms (e.g., AWS, GCP, Azure)
Preferred
Advanced degree or equivalent experience (e.g., MBA or related graduate-level qualification)
Experience in digital product operations within mid‑to‑large enterprise environments
A track record of effectively aligning and collaborating with stakeholders across multiple organizational levels
Demonstrated ability to drive product innovation through structured experimentation and data‑driven decision‑making
Experience in healthcare, pharmaceutical, or other highly regulated industries
Ability to innovate and foster experimentation to improve product capabilities
Certifications in data platforms or tools (e.g., AWS Certified Data Analytics, Tableau Desktop Specialist)
Experience with customer data strategy and an enterprise mindset in data management capabilities
Experience in leading data or systems projects to drive design & establish best practices
Advanced knowledge of workflow tools, automation systems, and compliance frameworks
Strong problem-solving and adaptability to navigate ambiguous or evolving environments
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.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-07
Company data provided by crunchbase