Product Owner

About the role

We are actively recruiting a Product Owner for our client in Knoxville, Tennessee. This is a full-time opportunity that will require onsite work in Knoxville two days per week. This is an excellent opportunity for someone who can own enterprise data products while helping a team develop more mature product-management and Agile delivery practices. Must have hands-on Product Owner experience and meaningful experience with data platforms, analytics, or business intelligence. Due to client request, candidates must be eligible to work in the United States without sponsorship.

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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with Microsoft Fabric, OneLake, Power BI, or comparable enterprise data and analytics platforms.
• Experience owning internal data products used by multiple business functions or user groups.
• Experience defining adoption, value, service, quality, or usage measures for data products.
• Background working in a complex organization with multiple stakeholder groups and competing priorities.