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Enterprise Data Modeler – Medicare Advantage

Remote • Posted 9 hours ago • Updated 9 hours ago

Contract Independent

Contract W2

12 Months

No Travel Required

Able to Sponsor

Remote

Depends on Experience

Fitment

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Job Details

Skills

Medicare
Cloud Data Platforms
Data Lakehouse Architectures
Databricks
Master Data Management (MDM)

Summary

We are looking for a Senior Enterprise Data Modeler with deep healthcare domain expertise to lead the development of enterprise and domain data models for a strategic data transformation program. You will bridge the gap between business stakeholders and technical execution teams to build resilient, enterprise-wide data structures.

Key Responsibilities

Design and maintain Enterprise, Logical, Physical, and Canonical Data Models.
Translate complex business concepts into robust domain data models.
Partner with business and IT stakeholders to define core entities, data governance standards, and business glossaries.
Align data models with MDM, analytics, modern cloud platforms, and reporting initiatives.

Mandatory Qualifications

Medicare Advantage Expertise (Required): Hands-on experience modeling data within Medicare Advantage domains (e.g., Members & Enrollment, Claims & Encounters, Risk Adjustment/RAF/HCC, HEDIS & STARS, Care Management, CMS Reporting).
(Note: Candidates without Medicare Advantage data modeling experience will not be considered).
Data Modeling: Proven track record in Enterprise, Conceptual, Logical, Physical, and Domain-Driven Data Modeling.
Modern Data Platforms: Experience with Cloud Data Platforms, Data Lakehouse Architectures, Databricks, or Master Data Management (MDM).
Business & Facilitation: Strong stakeholder engagement, workshop facilitation, and data stewardship capabilities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91131819
Position Id: 9056745
Posted 9 hours ago

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