Data Product Owner

marathonhealth; United States; Remote; USD 110,000 - 140,000; Full time

Job summary

marathonhealth seeks a Data Product Owner to own a portfolio of data products that solve internal business problems and, when appropriate, serve external audiences. You’ll lead multiple Scrum teams from discovery through delivery and measurement, choosing approaches that maximize impact and reuse foundations.

You’ll translate stakeholder needs into clear problems, success metrics, and acceptance criteria, govern data foundations, and drive adoption with a focus on quality, security, privacy, and

Qualifications

• Bachelor’s degree in a relevant field with at least seven years of product owner, product manager, analytics, BI, or equivalent experience.
• Proven ability to lead Agile/Scrum teams, ideally with more than one team.
• Strong understanding of data and analytics products from source through consumption.
• Experience translating business needs into prioritized work and communicating tradeoffs.

Responsibilities

• Set product vision, roadmap, and backlog priorities for data solutions, keeping teams focused on measurable business outcomes.
• Lead day-to-day Agile work across multiple teams, including backlog refinement, sprint planning, prioritization, and blocker removal.
• Turn stakeholder needs into clear problem statements, success measures, and acceptance criteria; track whether delivered solutions achieve their intended results.
• Reconcile input from business intelligence and technical product leaders, surface conflicting priorities early, and guide decisions so delivery can continue.
• Select suitable delivery methods for each problem, which may include dashboards, data platforms, AI-supported tools, or lightweight applications.
• Build and maintain reusable data foundations, especially a governed semantic model, and enable self-service with documentation, patterns, and guardrails.
• Monitor adoption, usage, and business impact; ensure solutions meet appropriate quality, security, privacy, release, and production-readiness expectations.

Skills

Agile leadership

Data analytics product understanding

Stakeholder communication

Backlog prioritization

Education

Bachelor's degree

Tools

Snowflake

Tableau

Python

Streamlit

Azure DevOps

Job description

Role overview

Own a portfolio of data products that solve business problems for internal stakeholders and, in some cases, external audiences. Lead multiple cross-functional Scrum teams from discovery and prioritization through delivery and measurement, choosing an approach based on the outcome and building reusable foundations that help others create trusted data solutions.

Responsibilities

• Set product vision, roadmap, and backlog priorities for data solutions, keeping teams focused on measurable business outcomes.
• Lead day-to-day Agile work across multiple teams, including backlog refinement, sprint planning, prioritization, and blocker removal.
• Turn stakeholder needs into clear problem statements, success measures, and acceptance criteria; track whether delivered solutions achieve their intended results.
• Reconcile input from business intelligence and technical product leaders, surface conflicting priorities early, and guide decisions so delivery can continue.
• Select suitable delivery methods for each problem, which may include dashboards, data platforms, AI-supported tools, or lightweight applications.
• Build and maintain reusable data foundations, especially a governed semantic model, and enable self-service with documentation, patterns, and guardrails.
• Monitor adoption, usage, and business impact; ensure solutions meet appropriate quality, security, privacy, release, and production-readiness expectations.

Requirements

• Bachelor’s degree in a relevant field and at least seven years of product owner, product manager, analytics, BI, or equivalent experience.
• Proven ability to lead Agile or Scrum teams, ideally with more than one team at a time.
• Strong understanding of data and analytics products from source through consumption.
• Track record of translating business needs into prioritized work, measuring outcomes, and communicating tradeoffs to technical and nontechnical stakeholders.
• Ability to work effectively in a matrixed environment with changing priorities and direction.

Nice to have

• Experience in healthcare or another regulated industry; data governance, quality, or master data work; semantic modeling; Snowflake, Tableau, Python, or Streamlit; AI or large language model tools; and backlog management in Azure DevOps or similar systems. Familiarity with handling sensitive data, including protected health information, is a plus.

Benefits and work setup

The listed pay range is $110,000–$140,000 per year, with the final offer dependent in part on location, experience, and skills. Applications are accepted until a candidate is selected.