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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Modeler - **Company:** Property Solutions Group LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Architecture, Data Governance, Data Structures, Healthcare Effectiveness Data and Information Set, Logical Data Models, Metadata, Meta-Data Management, Cloud Services, Technical Data Management Systems, Enterprise Data Management, Data Lineage, Data Management, Physical Data Models, Data Lakehouse, Domain Driven Design, Databricks - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/e77125c6-a202-4442-ab64-6320bd276ecb ## About the Role Data Modeling * Enterprise Data Modeling * Conceptual Data Modeling * Canonical Data Modeling * Logical Data Modeling * Physical Data Modeling * Domain-Driven Data Modeling * Data Architecture Principles Business & Facilitation * Business Process Analysis * Requirements Discovery * Workshop Facilitation * Business Glossary Development * Data Stewardship Collaboration * Cross-Functional Stakeholder Engagement Data Management * Master Data Management (MDM) * Metadata Management * Data Governance * Data Quality Concepts * Data Lineage Concepts, A senior data modeler who combines: * Strong enterprise data modeling expertise * Deep Medicare Advantage business knowledge * Excellent facilitation and stakeholder management skills * Experience supporting large-scale enterprise data transformation initiatives The ideal candidate understands that durable data models are built from a deep understanding of the business domain, not simply from source system structures. ## Description We are seeking a highly experienced Enterprise Data Modeler to lead the development of enterprise and domain data models that will serve as the foundation of a strategic enterprise data transformation program. This role will be responsible for creating and maintaining: * Enterprise Business Data Models * Canonical Data Models * Logical Data Models * Physical Data Models * Domain Data Models across prioritized business domains Critical Success Factors Strong Business Domain Knowledge is Essential This is not a traditional data modeling role focused solely on technical modeling. The successful candidate must possess deep business domain expertise and be capable of translating complex business concepts into resilient enterprise data models. The ability to facilitate discussions with business stakeholders and establish common business definitions is as important as technical modeling skills. Medicare Advantage Experience is Mandatory Candidates must demonstrate significant experience modeling data within the Medicare Advantage healthcare domain, including: * Members and Enrollment * Providers and Networks * Claims and Encounters * Authorizations and Referrals * Care Management * HEDIS and STARS * Risk Adjustment (RAF/HCC) * CMS Reporting * Delegated and IPA Models * Value-Based Care and Capitation, * Cloud Data Platforms * Data Lakehouse Architectures * Databricks or similar modern analytics platforms * Data Product Concepts, * Develop and maintain the Enterprise Business Data Model. * Develop phased Domain Data Models aligned to enterprise standards. * Collaborate with business and technical stakeholders to define core business entities and relationships. * Establish canonical data structures across business domains. * Align models with governance, metadata, MDM, analytics, AI, and reporting initiatives. * Support implementation teams in translating business models into technical data solutions. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [DataForce Studio](https://www.wearedevelopers.com/videos/1657-dataforce-studio) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)