Data Modeler with strong Insurance domain expertise to design, develop, and maintain enterprise-level data models that support underwriting, policy administration, claims, billing, and analytics initiatives. The ideal candidate will work closely with business stakeholders, architects, and engineering teams to translate complex insurance business requirements into scalable and compliant data models.
Key Responsibilities
Design and maintain conceptual, logical, and physical data models for insurance systems and data platforms.
Work closely with business analysts, underwriters, actuaries, claims, and IT teams to understand data requirements.
Model core insurance entities such as Policy, Coverage, Risk, Claim, Exposure, Party, Billing, and Reinsurance.
Support data modeling for transactional systems, data warehouses, data lakes, and analytics platforms.
Ensure data models adhere to industry standards, regulatory requirements, and data governance policies.
Define data definitions, business rules, relationships, and metadata.
Support data integration, migration, and modernization initiatives (legacy to cloud).
Review and optimize data models for performance, scalability, and data quality.
Collaborate with data engineers and developers during implementation.
Participate in design reviews, impact analysis, and documentation.
Numbers & Facts
Location
Prinston, NJ
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Actuarial Skillsunmatched
Analysis Skillsunmatched
Billingunmatched
Business Analysisunmatched
Business Architectureunmatched
Cloud Computingunmatched
Data Analysisunmatched
Data Migrationunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Warehousingunmatched
Documentationunmatched
Industry Standardsunmatched
Insuranceunmatched
Metadataunmatched
Performance Modelingunmatched
Performance Tuning/Optimizationunmatched
Policy Developmentunmatched
Regulatory Requirementsunmatched
Underwritingunmatched
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