Data Product Manager

Responsibilities

• Own the long term vision and roadmap for analytics datasets, governed metrics, and dashboards to enable reliable insights for business stakeholders.
• Collaborate cross functionally with data engineering, data science, and analytics teams to deliver reusable, analysis ready data products in a Hybrid (3 days onsite) model.
• Reduce metric disputes, expand self service analytics, and improve decision making across the organization.
• Define and maintain a multi year plan for analytics datasets, semantic layers, and dashboards.
• Translate business questions into durable data products including canonical datasets, semantic layers, and 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, including build decisions, retirement plans, and usability/adoption improvements.
• 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, covering metric definitions, grain, dimensions, filters, and 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, including adoption, data quality, freshness, reliability, and stakeholder satisfaction.
• Establish monitoring and incident triage processes to enable self-serve analytics through discoverability, documentation, and training.
• Operate in a hybrid onsite model with three days on site in San Jose, CA.

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 and dashboarding ecosystems such as Looker, Tableau, Power BI or similar.
• Familiarity with semantic and metric layers and governed, reusable metric definitions.
• Strong product management skills applied to data and analytics products, including roadmap ownership and 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, and release operating mechanisms.
• Ability to create clear documentation and manage knowledge in a wiki environment.

Technologies

• SQL
• Looker
• Tableau
• Power BI
• Jira

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• Paid sick leave eligibility (state-dependent)
• Optional 401k Plan (excludes employer match)

Pay range: $54.65 - $68.31 per hour

Work Location

• Hybrid remote in San Jose, CA 95113

Interested candidates should submit their resume for consideration.