EPIC SME

Healthcare Data Model (HDM) / EPIC SME responsible for driving healthcare data modeling, EPIC Clarity & Caboodle initiatives, data warehousing, analytics, governance, and AI-enabled healthcare data transformation across enterprise healthcare platforms.

Mandatory skills

• Strong expertise in EPIC Clarity and Caboodle with hands-on experience supporting healthcare analytics and reporting initiatives.
• Deep understanding of Healthcare Data Models (HDM) and healthcare data architecture.
• Strong knowledge of Clinical, Claims, Provider, Patient, and Revenue Cycle data domains.
• Advanced experience in SQL and Data Modeling, including Logical Data Models (LDM), Physical Data Models (PDM), and Dimensional Modeling.
• Hands-on experience with Databricks, Azure Data Factory (ADF), Azure SQL, and SQL Server.
• Experience designing and implementing enterprise healthcare data warehouses, analytics platforms, and data marts.
• Strong understanding of Data Governance, Data Quality, Data Lineage, and Data Validation frameworks.
• Experience leading healthcare data discovery, source-to-target mapping, and stakeholder engagement activities.
• Strong client-facing communication, stakeholder management, problem-solving, and mentoring capabilities.
• Experience working with Agentic AI or AI-driven analytics initiatives leveraging healthcare data platforms..

Good to Have Skills

• EPIC Clarity and/or Caboodle Certification.
• Experience working with large healthcare providers and payer organizations.
• Knowledge of HL7 and FHIR interoperability standards.
• Experience with Medallion Architecture and modern healthcare data platforms.
• Exposure to enterprise AI, GenAI, and advanced healthcare analytics solutions.
• Experience leading large-scale healthcare data modernization and transformation programs.

Responsibilities: -

• Serve as the Subject Matter Expert (SME) for EPIC Clarity, Caboodle, and Healthcare Data Models (HDM).
• Lead healthcare data discovery, source-to-target mapping, and enterprise data modeling initiatives.
• Design, develop, and optimize healthcare data marts, data warehouses, and analytics solutions.
• Support data engineering teams in building scalable data pipelines using Databricks, Azure Data Factory, and SQL-based technologies.
• Define and implement data quality, data governance, data lineage, and validation frameworks.
• Collaborate with business, clinical, operational, and technical stakeholders to deliver healthcare insights and analytics solutions.
• Drive healthcare data architecture initiatives supporting patient, provider, claims, clinical, and revenue cycle data domains.
• Support AI and Agentic AI initiatives by enabling trusted, governed, and scalable healthcare data foundations.
• Provide leadership, guidance, and best practices around healthcare data management, analytics, and reporting platforms.
• Mentor technical teams on healthcare data models, data governance, and enterprise data architecture standards.

Educational Qualifications: -

• Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.