Marathon Health is a leading provider of advanced primary care in the U.S., serving 2.5 million eligible patients through approximately 630 employer and union-sponsored clients. Our comprehensive services include advanced primary care, mental health, occupational health, musculoskeletal, and pharmacy services, delivered through our 680+ health centers across 41 states. We also offer virtual primary care and mental health services accessible in all 50 states. Transforming healthcare delivery with a patient-first approach, we prioritize convenient access to both in-person and virtual care, resulting in improved health outcomes and significant cost savings. Committed to inclusivity and collaboration, we foster a positive work environment and recruit exceptional talent to ensure expertise and compassion in healthcare delivery. Marathon has been recognized as a five-time Modern Healthcare Best Places to Work in Healthcare winner and a six-time Best in KLAS award winner for employer-sponsored healthcare services.

QUALIFICATIONS

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field; Master’s degree preferred. 5+ years of experience in data quality, data governance, or data management within a healthcare, payer, or provider organization or equivalent combination of education and experience.
 Strong understanding of healthcare data sources, including EMR, claims, and clinical workflows.
 Proficiency in data analysis tools and query languages (e.g., SQL, SAS, Python, Alteryx).
 Experience with enterprise data warehouse environments and data visualization tools (e.g., Tableau, Power BI).
 Familiarity with data governance frameworks and metadata management tools.
 Demonstrated ability to diagnose complex data issues and drive cross-functional solutions.
 Knowledge of HIPAA regulations and healthcare data privacy/security best practices.

• Collaborate with internal stakeholders to define data quality standards, metrics, and business rules aligned with enterprise data governance policies.
• Design, implement, and maintain data quality monitoring processes, including automated validation and exception reporting.
• Conduct in-depth data profiling and root cause analysis to identify anomalies, gaps, and inconsistencies in data from multiple source systems, including EMR and enterprise data warehouse (EDW) and other systems of record.
• Partner with data engineering, data integration, analytics, and business teams to resolve data quality issues and prevent recurrence.
• Lead the development of data quality dashboards and scorecards to track ongoing performance against quality KPIs.
• Document data lineage, definitions, and business rules to ensure shared understanding across teams.
• Provide subject matter expertise on data quality best practices during new system implementations, integrations, and ETL process changes.
• Assist analytics and reporting teams in ensuring all published reports are based on trusted, validated data sources.
• Serve as a liaison between business stakeholders and technical teams to translate business requirements into actionable data quality specifications.
• Conduct periodic data quality audits and report findings to leadership with actionable recommendations.
• Champion a “single source of truth” mindset across the organization to promote consistency and accuracy in all analytics and reporting.