Data Product Manager

Data Product ManagerLocation: San Jose, CA (Hybrid) Pay Range: $58 - $68/hr. Duration: 9 MonthsTop Skills:Strong product management experience with analytics and data products, including roadmap ownership, prioritization, and translating business needs into clear dataset and dashboard requirementsProficiency in SQL, data warehousing concepts, dimensional modeling, event-based data, and experience with BI/dashboarding tools like Looker, Tableau, or Power BIExcellent stakeholder management, communication, and program execution skills with ability to drive adoption, ensure data quality, and enable self-serve analytics across teamsCompany:Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.Duties:Define and own the long-term vision and roadmap for analytics datasets, governed metrics, and dashboardsTranslate 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 investmentsWrite clear requirements for datasets and dashboards, including metric definitions, grain, dimensions, filters, and refresh expectationsPartner with Data Engineering to shape data models, pipelines, and data contracts that enable scalable analyticsPartner with Data Science and Analytics to ensure datasets are analysis-ready and reusable across use casesCreate and maintain KPI frameworks and "single source of truth" metric definitions to reduce metric disputesOwn dashboard strategy: what to build, what to retire, and how to improve usability and adoptionImplement and run the operating cadence for execution, including Jira epics/stories, sprint planning, prioritization, and release communicationMaintain a team wiki (e.g., Confluence) with documentation for datasets, dashboards, metric definitions, and usage guidelinesDrive quarterly planning, resourcing conversations, milestone tracking, and stakeholder reviews of roadmap progressDefine and track success metrics for data products, including adoption, data quality, freshness, reliability, and stakeholder satisfactionEstablish monitoring and processes for data quality issues, incident triage, and continuous improvementEnable self-serve analytics by improving discoverability, documentation, training, and stakeholder enablementAct as the primary cross-functional point of accountability for analytics data products from concept through launch and iterationSkills:Strong product management skills applied to data and analytics products, including roadmap ownership and prioritizationAbility to think long-term about foundational data assets, not just short-term reporting outputsExcellent stakeholder management and communication skills, with the ability to align teams on shared metric definitions and outcomesProven ability to translate ambiguous business needs into clear requirements for datasets and dashboardsWorking proficiency in SQL and strong fluency in data warehousing concepts, dimensional modeling, and event-based dataExperience with BI/dashboarding ecosystems (e.g., Looker, Tableau, Power BI) and building scalable dashboard suitesFamiliarity with semantic layers or metric layers and the concept of governed, reusable metric definitionsStrong execution and program management skills, including sprint rituals, backlog hygiene, and delivery predictabilityHands-on experience running Jira workflows and building operating mechanisms for intake, planning, and release managementAbility 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 practicesComfort partnering with engineering teams on technical tradeoffs, scope decisions, and delivery planningAbility to drive adoption through enablement, training, office hours, and stakeholder feedback loopsEducation:Bachelor's degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, Economics, or a related disciplineMaster's degree in a relevant field (e.g., Analytics, Data Science, MBA, or similar) is a plusEquivalent practical experience in data product management, analytics engineering, or analytics program leadership considered in lieu of formal educationBenefits Summary: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123