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Data Modeler / Lead - Healthcare Data Systems
FTE
Remote
Data Modeler / Lead - Healthcare Data Systems
Position Overview
We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards.
Key Responsibilities
- Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management
- Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment)
- Create and maintain data lineage documentation and data dictionaries for healthcare datasets
- Establish data modeling standards and best practices across the organization
Technical Leadership
- Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica
- Architect scalable data solutions that handle large volumes of healthcare transactional data
- Collaborate with data engineers to optimize data pipelines and ensure data quality
- Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI)
- Design data models that support analytical, reporting and AI/ML needs
- Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations
- Partner with business stakeholders to translate healthcare business requirements into technical data solutions
Data Governance & Quality
- Implement data governance frameworks specific to healthcare data privacy and security requirements
- Establish data quality monitoring and validation processes for critical health plan metrics
- Lead efforts to standardize healthcare data definitions across multiple systems and data sources
Required Qualifications
Technical Skills
- 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data
- Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches
- Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing
- Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks)
- Proficiency with data modeling tools (Hackolade, ERwin, or similar)
Healthcare Industry Knowledge
- Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data
- Experience with healthcare data standards and medical coding systems
- Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment)
- Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI)
Preferred Qualifications
- Experience with Medicare Advantage, Medicaid, or Commercial health plan operations
- Cloud platform certifications (AWS, Azure, or GCP)
- Experience with real-time data streaming and modern data lake architectures
- Knowledge of machine learning applications in healthcare analytics
- Previous experience in a lead or architect role within healthcare organizations
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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