Data Product Manager

Nextdeavor • San Jose, CA

4d • Hybrid

About The Position

You will own the vision and roadmap for analytics datasets, governed metrics, and dashboards to enable reliable insights for business stakeholders. You will work cross-functionally with data engineering, data science, and analytics teams to deliver reusable, analysis-ready data products in a Hybrid (3 days onsite) model. Your work will reduce metric disputes, increase self-serve analytics, and improve decision-making across the organization.

Requirements

• 5+ years of relevant experience
• Bachelor's degree in a quantitative or technical field (or equivalent practical experience)
• Working proficiency in SQL and strong fluency in data warehousing concepts, dimensional modeling, and event-based data
• Experience with BI/dashboarding ecosystems (Looker, Tableau, Power BI or similar)
• Familiarity with semantic/metric layers and governed, reusable metric definitions
• Strong product management skills applied to data and analytics products (roadmap ownership, prioritization)
• Proven ability to translate ambiguous business needs into clear dataset and dashboard requirements
• Strong stakeholder management and communication skills
• Hands-on experience running Jira workflows and building intake/planning/release operating mechanisms
• Ability to create clear documentation and manage knowledge in a wiki environment

Nice To Haves

• Master's degree in analytics, data science, MBA, or similar

Responsibilities

• Define and own long-term vision and roadmap for analytics datasets, semantic/metric layers, and dashboards
• Translate business questions into durable data products (canonical datasets, semantic layers, standardized dashboards)
• Establish and manage a prioritized intake process for analytics requests, balancing quick wins with foundational investments
• Create and maintain KPI frameworks and single-source-of-truth metric definitions
• Own dashboard strategy: what to build, retire, and how to improve usability and adoption
• Partner with Data Engineering to shape data models, pipelines, and data contracts
• Partner with Data Science and Analytics to ensure datasets are analysis-ready and reusable
• Act as the primary cross-functional point of accountability from concept through launch and iteration
• Write clear requirements for datasets and dashboards (metric definitions, grain, dimensions, filters, refresh expectations)
• Maintain documentation and usage guidelines in a team wiki
• Implement and run operating cadence: Jira epics/stories, sprint planning, prioritization, and release communication
• Drive quarterly planning, resourcing conversations, milestone tracking, and stakeholder reviews
• Define and track success metrics for data products (adoption, data quality, freshness, reliability, stakeholder satisfaction)
• Establish monitoring and incident triage processes and enable self-serve analytics through discoverability, documentation, and training

Benefits

• health, vision and dental benefits for contract employees
• Paid sick leave eligibility is contingent on state of residence
• Optional 401k Plan (excludes employer match)
• Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level