About This Role
This full-time Product Owner role involves owning enterprise data products and helping a team develop more mature product-management and Agile delivery practices. It is an excellent opportunity for someone with hands-on Product Owner experience and meaningful experience with data platforms, analytics, or business intelligence.
Responsibilities
- Own the vision, roadmap, backlog, and measurable outcomes for enterprise data and analytics products
- Establish a structured intake and prioritization process for business requests, technical needs, and platform improvements
- Evaluate competing priorities and make clear tradeoff decisions based on customer value, risk, effort, dependencies, and organizational goals
- Translate business needs into actionable user stories and acceptance criteria for technical delivery teams
- Work directly with data engineers, analysts, architects, governance partners, and business stakeholders throughout delivery
- Help move the organization from reactive, ticket-driven delivery toward product-oriented ways of working
- Introduce or mature practices such as Kanban, backlog refinement, roadmap planning, release planning, stakeholder reviews, and outcome measurement
- Build adoption by clarifying the users, value proposition, success measures, and lifecycle of each data product
- Distinguish product needs from projects, service requests, incidents, and one-time reporting requests
- Support data quality, governance, metadata, stewardship, and self-service analytics initiatives
Requirements
- Demonstrated experience serving as a Product Owner with direct responsibility for product decisions, priorities, backlog, roadmap, and outcomes
- Experience introducing or maturing product practices in an organization where they were not fully established
- Ability to explain how requests entered the backlog, how priorities were determined, and what tradeoffs were made
- Experience working directly with technical delivery teams in an Agile, Kanban, or evolving product-delivery environment
- Meaningful experience with enterprise data platforms, analytics products, business intelligence, data governance, or data engineering teams
- Working knowledge of data concepts such as data lakes or lakehouses, warehouses, semantic models, pipelines, reporting, data quality, metadata, and self-service analytics
- Ability to influence stakeholders, challenge request-driven ways of working appropriately, and create alignment around product priorities
- Bachelor’s degree or the equivalent education and relevant professional experience
- Must be eligible to work in the United States without sponsorship
Nice to have:
