Product Owner

Posted today

carrera agencyDenver (CO)

Data Warehousing SpecialistsCustom Computer Programming Services

SENIORITY

Lead

SALARY

$80 K

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About the role

We’re looking for a detail-oriented Data Product Owner to help translate business needs into clear, actionable work and support the delivery of internal data products, governed metrics, and AI-enabled analytics. Position Details

Start Date: ASAP

Type: Direct Hire

Location: Denver, CO

Schedule: Hybrid, 2 days on-site

Compensation: Starting at $80K + benefits

About the Role: Reporting to the Product Manager for Enterprise Data, this role will bridge business and technical teams by helping define requirements, manage priorities, coordinate delivery, and keep stakeholders aligned throughout the development process.

Key Responsibilities: Manage and prioritize the backlog for data products and stakeholder requests. Translate business needs into requirements, user stories, acceptance criteria, and actionable work items. Coordinate with data engineering, BI, finance, operations, IT, and business stakeholders. Support intake, backlog refinement, UAT, release readiness, and stakeholder follow-up. Maintain documentation for requirements, data definitions, metrics, and business rules. Help improve Agile processes, Jira organization, delivery visibility, and release coordination.

What We're Looking For: 2+ years of experience in product ownership, business analysis, product operations, data operations, project coordination, or a similar role. Experience translating business needs into structured requirements and work items. Experience with UAT, backlog refinement, release management, documentation, and Agile processes. Experience with tools such as Jira, Confluence, Git Hub, or Snowflake. Strong organization, communication, follow-through, and stakeholder coordination skills. Comfortable working with data, SQL, analytics platforms, and both technical and non-technical teams. Familiarity with data quality, metric definitions, data dictionaries, or governed analytics.

Nice to Have: Experience with data products, self-service analytics, semantic layers, dbt, Streamlit, or similar technologies.

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