Senior Healthcare Data Modeler

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.  
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.  

Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change.  Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.

About the Role

We are looking for a highly technical and hands-on Senior Healthcare Data Modeler to lead a global data modeling team responsible for transforming conceptual and logical data models into optimized physical models. This role requires a deep understanding of healthcare data domains (Claims, Pharmacy, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and expertise in enterprise data modeling best practices.

The Senior Healthcare Data Modeler will work closely with the Director of Data Modeling to define data modeling standards, metadata governance, and data architecture strategies that align with business and technical needs. They will also collaborate with engineering, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.

This is an exciting opportunity for a technical leader with expertise in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.

Your day to day

Data Modeling Leadership & Best Practices

• Lead a global team of data modelers to build scalable, high-performance physical data models aligned with enterprise architecture and industry standards.
• Define and enforce data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
• Convert conceptual and logical data models into optimized physical models using enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
• Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
• Maintain metadata, business glossary, and data dictionaries to support data lineage and governance.
• Implement data quality rules and validation frameworks to meet industry SLAs and compliance requirements (HIPAA, HITRUST, CMS regulations).

Technical Data Modeling Engineering

• Own data modeling workflows, including version control, schema deployment, and upgrade automation.
• Own metadata tagging and data quality rules implementation for healthcare data domains.
• Work with engineering teams to implement data models in Databricks, Snowflake, and modern cloud architectures.
• Optimize data models for query performance, indexing, partitioning, and storage efficiency.
• Ensure data enrichment (standardization, transformations, algorithms, and grouping) is seamlessly integrated into the data models.
• Design and document data delivery patterns using complex events or business rules to enable real-time and batch processing.
• Implement data federation strategies, ensuring interoperability between enterprise data lakes, cloud data warehouses, and transactional systems.

Collaboration & Client Engagement

• Collaborate with Director of Data Modeling and client implementation teams to understand client needs, assess data model impact, and enhance models for efficient implementations.
• Partner with engineering and product teams to define and prioritize data model features in the product roadmap.
• Work with client management teams to provide support and technical expertise during client engagements.

What you bring to the team