Data Product Owner

Marathon Health Inc; United States; Remote; USD 110,000 - 140,000; Full time

Job summary

Marathon Health Inc is seeking a Data Product Owner to lead cross-functional teams delivering outcome-based data solutions for internal and external audiences. You will guide teams across Tableau dashboards, Snowflake Cortex agents, and Python/Streamlit portals, leveraging AI to accelerate design and maintenance.

The role emphasizes building a foundational semantic model and self-service enablement while balancing technology and product strategy in a healthcare-focused environment.

Qualifications

• Bachelor's degree plus 7+ years delivering data, analytics, or BI products.
• Proven success leading Agile/Scrum teams, potentially more than one simultaneously.
• Experience end-to-end with data products from source to consumption; healthcare background preferred.
• Familiarity with data governance, data quality, and master data initiatives preferred.

Responsibilities

• Own the product vision, roadmap, and backlog for outcome-based data solutions.
• Lead multiple scrum teams with backlog grooming, sprint planning, and blockers.
• Align analytics outcomes with business goals under guidance from BI and Technical PMs.
• Translate stakeholder goals into clearly defined problems and acceptance criteria.
• Choose delivery approaches (Tableau, Snowflake Cortex, Python/Streamlit) by outcome.
• Leverage AI and modern tooling to accelerate discovery, prototyping, and iteration.
• Build reusable components and a governed semantic model for self-service solutions.
• Establish self-service enablement with docs, patterns, and guardrails.
• Partner with Product leaders to ensure alignment on priorities and delivery.

Skills

Product ownership

Agile Scrum

Data analytics

Stakeholder management

Communication

Matrixed environment

Education

Bachelor's degree

Tools

Snowflake

Cortex agents

Tableau

Python

Streamlit

Azure DevOps

Job description

Marathon Health is a leading advanced primary care provider, partnering with employer and union plan sponsors to improve health for millions of Americans. With nationwide onsite, nearsite, and network health centers, and virtual primary care, Marathon delivers a value-based model that enhances the healthcare experience for members and providers, while driving meaningful cost savings for plan sponsors. Marathon is proud to be certified as a Great Place to Work®, reflecting the company's commitment to building an inclusive, high-trust culture where all employees can thrive. Learn more at marathon.health

ABOUT THE JOB

The Data Product Owner leads several cross-functional scrum teams responsible for delivering outcome-based data solutions to the business. This role is defined by the problems it solves, not the technology it uses. Whether the right answer is a Tableau dashboard, a Snowflake Cortex agent, a Python-based insight package delivered as a Streamlit portal, or a reusable component of our semantic model, the Data Product Owner is accountable for choosing the approach that best achieves the desired outcome and for guiding their teams to build it.

Our stakeholders are primarily internal, though some solutions serve external audiences, and their needs evolve quickly. This person must be comfortable operating in an environment where both Technology and Product direction change, treating that change as a normal condition rather than a disruption. A major part of the mandate is enablement: building the foundational pieces — starting with a well-structured semantic model — that let stakeholders and teams across the organization build their own solutions, inside and outside of Technology. The ideal candidate is fluent in leveraging AI to accelerate how these solutions get designed, built, and maintained.

ESSENTIAL DUTIES & RESPONSIBILITIES

• Own the product vision, roadmap, and prioritized backlog for a portfolio of outcome-based data solutions serving internal and external stakeholders.
• Lead multiple scrum teams day to day — including backlog grooming, sprint planning, prioritization, and removing blockers — while keeping teams focused on measurable outcomes over outputs.
• Take direction from the Director of Business Intelligence on analytics and reporting outcomes, and from the Technical Product Manager on technical and product execution, reconciling their input into a single prioritized backlog.
• Proactively surface conflicts in priority or direction early, and drive them to resolution rather than letting teams stall.
• Translate stakeholder goals into clearly defined problems, success metrics, and acceptance criteria, and validate that delivered solutions actually move those metrics.
• Select the right delivery approach for each problem (e.g., Tableau, Snowflake / Cortex agents, Python / Streamlit portals) based on the outcome and the audience, rather than defaulting to a preferred technology or pattern.
• Leverage AI and modern tooling to accelerate discovery, prototyping, development, and iteration across the teams.
• Build and steward foundational, reusable components — especially the semantic model — so that stakeholders and other teams can reliably build their own solutions against a trusted, governed layer.
• Establish and support self-service enablement, including documentation, patterns, and guardrails, so users can create their own solutions with confidence.
• Partner closely with Product leaders and internal stakeholders who depend on these solutions, keeping all parties aligned on priorities, tradeoffs, and delivery status.
• Anticipate and absorb change from both Technology and Product, adjusting priorities and communicating impacts without losing delivery momentum.
• Ensure solutions meet quality, security, and compliance expectations appropriate to internal and external use.
• Track adoption, usage, and business impact, and use those insights to continuously refine the portfolio.
• Define success metrics and business outcomes for all major initiatives and hold teams accountable for measuring realized value after delivery.
• Ensure solutions follow established release, change management, and production readiness processes.

QUALIFICATIONS

Bachelor's degree in a relevant field plus a minimum of 7 years proven experience as a Product Owner, Product Manager, or similar role delivering data, analytics, or BI products, or equivalent combination of education and experience. Demonstrated success leading Agile / Scrum teams, ideally more than one team concurrently. Strong background in data and analytics, with the ability to reason about data products end to end (source to consumption). Experience in healthcare, population health, benefits administration, or related regulated industries preferred. Experience working with data governance, data quality, and master data initiatives preferred.

DESIRED ATTRIBUTES

• Hands-on familiarity with Snowflake, including Cortex agents, Cortex Analyst / search services, and semantic views.
• Experience with modern analytics and delivery tools such as Tableau, Python, and Streamlit (or comparable frameworks for building lightweight portals and insight packages).
• Practical fluency in leveraging AI / LLMs to build, accelerate, or augment data solutions.
• Strong grasp of semantic modeling and the value of a reusable, governed foundation that enables self-service.
• An outcome-first, technology-agnostic mindset: chooses the right tool for the job and lets go of tools that no longer fit.
• Highly adaptable and calm amid shifting Technology and Product priorities.
• Diplomatic and decisive: builds trust with multiple stakeholders and makes clear prioritization calls when direction conflicts.
• A builder-and-enabler orientation: as motivated by helping others create solutions as by delivering their own.
• Curiosity and a habit of continuous learning as the tooling landscape evolves.
• Excellent stakeholder management and communication skills, comfortable working with both Product leadership and non-technical business users.
• Experience managing product backlogs in Azure DevOps or similar tools.
• Awareness of data governance, security, and privacy considerations (experience handling sensitive or regulated data such as PHI is a plus).
• Comfort selecting and working across a range of delivery technologies rather than specializing in a single one.
• Experience operating in an environment of frequent change and ambiguity.
• Track record of translating business needs into prioritized, outcome-driven work and measuring results.
• Demonstrated ability to operate effectively in a matrixed structure, taking direction from multiple leaders while managing competing priorities.

Pay Range: $110,000 - $140,000/yr

The actual offer may vary dependent upon geographic location and the candidate’s years of experience and/or skill level.