EPIC SME

Hybrid in Chicago, IL, US • Posted 16 hours ago • Updated 16 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • EPIC Clarity
  • EPIC Caboodle
  • Clinical
  • Claims
  • Patient
  • Provider
  • Revenue Cycle
  • SQL
  • Data Modeling
  • Databricks
  • ADF
  • Azure SQL
  • SQL Server
  • data quality
  • governance
  • lineage
  • validation frameworks

Summary

Key Responsibilities

·         Provide SME expertise in EPIC Clarity, Caboodle, and Healthcare Data Models (HDM).

·         Lead healthcare data discovery, source-to-target mapping, and enterprise data modeling.

·         Design and optimize healthcare data warehouses, data marts, and analytics solutions.

·         Define and implement data quality, governance, lineage, and validation frameworks.

·         Work with clinical, business, operational, and technical stakeholders.

·         Support healthcare data domains including patient, provider, clinical, claims, and revenue cycle.

·         Enable trusted healthcare data foundations for AI, GenAI, and Agentic AI initiatives.

Required Skills

·         10+ years of experience in healthcare data/analytics and enterprise data platforms.

·         Strong hands-on expertise in EPIC Clarity and Caboodle.

·         Deep knowledge of Healthcare Data Models and healthcare data architecture.

·         Strong understanding of Clinical, Claims, Patient, Provider, and Revenue Cycle data.

·         Advanced SQL and Data Modeling skills, including LDM, PDM, and Dimensional Modeling.

·         Hands-on experience with Databricks, ADF, Azure SQL, and SQL Server.

·         Experience with healthcare data warehouses, analytics platforms, and data marts.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90962207
  • Position Id: 9096503
  • Posted 16 hours ago
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