Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking an enterprise data and analytics leader for a multi-clinic Medicare organization. The Vice President of Data & Analytics will build and operate the enterprise data ecosystem, including platforms, architecture, pipelines, governance, analytics, and advanced insights, while supporting clinical quality, operational efficiency, financial integrity, and value-based care performance. The role will also drive AI/ML, automation, interoperability, and reusable data products across clinical, financial, operational, and technology teams.
Responsibilities
- Lead enterprise data strategy, governance, architecture, and analytics
- Own cloud data platforms, data warehouses, FHIR environments, and modern data pipelines
- Deliver reporting, dashboards, predictive analytics, and self-service BI solutions
- Drive value-based care analytics including RAF, HCC, quality measures, and population health insights
- Partner across clinical, digital, finance, operations, and technology teams
- Advance AI/ML, automation, interoperability, and real-time analytics capabilities
Skills
- 12+ years of leadership experience in healthcare data, analytics, or data engineering
- Deep Snowflake expertise including architecture, optimization, governance, Snowpipe, Streams, Tasks, and data sharing
- Experience building cloud-native data platforms (AWS, Azure, or GCP)
- Strong background with ETL/ELT tools such as dbt, Matillion, Fivetran, or Informatica
- Experience integrating EMR/EHR, RCM, ERP, HRIS, and third-party healthcare data sources
- Proven success supporting Medicare Advantage, value-based care, risk adjustment, population health, and enterprise reporting
- Expertise in data governance, data quality, MDM, interoperability (HL7/FHIR), and healthcare compliance
- Experience leveraging AI/ML and advanced analytics to improve business and clinical outcomes
- Snowflake, cloud, or data engineering certifications
Benefits
- Fulltime, remote (EST) role
Company Overview
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