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About the Role
As a Senior Data Product Manager - Analytics & AI, you will drive the development, execution, and optimization of strategic data products, focusing on forecasting and AI strategy. You will operate autonomously, defining product vision, leading cross-functional execution, and ensuring alignment with enterprise objectives. Your role involves championing advanced forecasting frameworks, mentoring agile squads, and delivering scalable data solutions.
Responsibilities
- Develop and communicate a clear vision for forecasting data products and AI integration.
- Partner with leadership to define comprehensive data product roadmaps.
- Lead end-to-end execution for Forecasting & AI Data Products.
- Maintain and prioritize the product backlog for forecasting needs and AI use cases.
- Provide strategic AI context across business units.
- Engage with business leaders and technical end-users to evangelize the forecasting vision and drive adoption.
- Act as the primary liaison between business stakeholders and the data product technology team.
- Align stakeholders and manage complex demand requests.
- Establish and maintain an enterprise data quality framework.
- Define key metrics and identify root-cause issues for data integrity.
- Guide cross-functional teams in adhering to modern data architecture principles.
- Lead build-vs.-buy evaluations for data tooling.
- Monitor system health, adoption rates, and product usage data.
- Drive product innovation through structured experimentation.
- Oversee compliance with data governance policies and regulatory standards.
- Partner with Legal, Compliance, and Privacy teams to ensure adherence and mitigate risk.
Requirements
- 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.
- Strong technical fluency with big data technologies, relational and non-relational databases, SQL, and cloud-based data platforms (e.g., AWS, GCP, Azure).
- Strong 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 (e.g., Informatica Data Quality, Collibra, Monte Carlo).
- Exceptional communication and presentation skills.
- Demonstrated ability to evangelize product vision, navigate ambiguous corporate environments, and influence senior stakeholders.
- Proven experience collaborating with Legal, Compliance, and Privacy teams.
Skills
- Product Management
- Data Management
- AI
- Software Development
- Big Data Technologies
- SQL
- Cloud-based Data Platforms (AWS, GCP, Azure)
- Semantic Layer Concepts
- Data Lifecycle Management
- Enterprise Data Governance
- FAIR Data Principles
- Data Observability
- Data Quality
- Data Lineage Tools
- Communication
- Presentation Skills
- Stakeholder Management
- Agile Methodologies
Location
- South San Francisco, CA
Work Type
- Hybrid
Experience Level
- 5+ years
Education Level
- Bachelor's degree
- MBA or related graduate-level qualification (Preferred)
Salary/Compensations
- $140,300 - $260,500
Benefits
- Discretionary annual bonus
- Benefits detailed at the link provided below.
About the Company
- Genentech is passionate about delivering on its promise to improve the lives of patients and create healthier communities.
- The Data, Digital, and Analytics (DDA) team solves complex healthcare challenges and improves patient outcomes.
- DDA empowers business partners across Commercial, Medical, and Government Affairs (CMG) by leveraging data, analytics, business products, and AI/ML.
- DDA fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights into CMG’s digital, data, and automation platforms.
Equal Opportunity
- 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 form Accommodations for Applicants.