THE POSITION:

We are seeking an experienced Data Modeler with strong expertise in the US Healthcare domain to design, develop, and optimize enterprise data models. The ideal candidate will analyze business requirements, translate them into scalable data architectures, and ensure consistency, quality, and performance across systems.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Our employees are tasked with delivering excellent business results through the efforts of their teams.  These results are achieved by:

• Analyze and translate complex business requirements into long-term, scalable data models.
• Design and develop conceptual, logical, and physical data models aligned with enterprise architecture.
• Work closely with business stakeholders, data architects, and development teams to define data flows and system integrations.
• Evaluate and assess existing data systems for gaps, redundancies, and optimization opportunities.
• Implement enterprise data strategies supporting analytics, reporting, and operational systems.
• Develop and enforce data modeling standards and best practices to ensure coding consistency and governance compliance.
• Review modifications to existing systems to ensure cross-platform compatibility and data integrity.
• Update and optimize local data models and metadata repositories.
• Conduct variance and discrepancy analysis to identify performance or data quality issues.
• Troubleshoot, tune, and optimize data systems for performance, scalability, and reliability.
• Support regulatory compliance requirements specific to US Healthcare (e.g., claims, EHR, HIPAA data handling standards).
• Collaborate with ETL, BI, and application teams to ensure seamless data integration.