Data Product Manager
$126,880–$142,064 year
On-siteSan Jose, California, United States
Job Summary
Define and own the long-term vision for analytics datasets, governed metrics, and dashboards by translating business questions into durable data products. Establish a prioritized intake process and write clear requirements for metric definitions, grain, and refresh expectations. Partner with Data Engineering and Data Science to shape data models, pipelines, and contracts that enable scalable analytics. Create and maintain KPI frameworks to reduce metric disputes while driving quarterly planning, resourcing conversations, and stakeholder reviews. Implement the operating cadence for execution, including Jira epics, sprint planning, and release communication. Maintain a team wiki with documentation for datasets and usage guidelines, then enable self-serve analytics through improved discoverability and stakeholder enablement. Act as the primary cross-functional point of accountability from concept through launch.
Required Qualifications
- Bachelor's degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, Economics, or a related discipline
- Strong product management skills applied to data and analytics products, including roadmap ownership and prioritization
- Ability to think long-term about foundational data assets, not just short-term reporting outputs
- Excellent stakeholder management and communication skills, with the ability to align teams on shared metric definitions and outcomes
- Proven ability to translate ambiguous business needs into clear requirements for datasets and dashboards
- Working proficiency in SQL and strong fluency in data warehousing concepts, dimensional modeling, and event-based data
- Experience with BI/dashboarding ecosystems (e.g., Looker, Tableau, Power BI) and building scalable dashboard suites
- Familiarity with semantic layers or metric layers and the concept of governed, reusable metric definitions
- Strong execution and program management skills, including sprint rituals, backlog hygiene, and delivery predictability
- Hands-on experience running Jira workflows and building operating mechanisms for intake, planning, and release management
- Ability to create clear documentation and knowledge management systems in a wiki environment (e.g., Confluence)
- Strong intuition for data quality, data reliability, and trust-building through SLAs, validation, and monitoring practices
- Comfort partnering with engineering teams on technical tradeoffs, scope decisions, and delivery planning
- Ability to drive adoption through enablement, training, office hours, and stakeholder feedback loops
Desired Qualifications
- Master's degree in a relevant field (e.g., Analytics, Data Science, MBA, or similar) is a plus
- Equivalent practical experience in data product management, analytics engineering, or analytics program leadership considered in lieu of formal education
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