Data Modeler

TechDigital Group; Williamstown (NJ); On-site; USD 85,000 - 115,000; Full time

Job summary

A leading technology firm in New Jersey is looking for a Data Modeler with strong expertise in the insurance domain. The ideal candidate will design and maintain enterprise-level data models that support various business functions including underwriting and claims management. This role involves collaboration with business analysts and IT teams to ensure that data models adhere to industry standards and regulatory requirements. Candidates should have proven experience in data governance and optimization of data structures.

Qualifications

• Strong experience in designing and maintaining data models for insurance systems.
• Proven ability to work with cross-functional teams, including business analysts and IT.
• Familiarity with data governance policies and regulatory requirements.

Responsibilities

• Design and maintain conceptual, logical, and physical data models for insurance systems.
• Collaborate with business stakeholders to understand data requirements.
• Support data modeling for transactional systems, data warehouses, and analytics platforms.

Skills

Data modeling

Insurance domain expertise

Collaboration

Data governance compliance

Performance optimization

Job description

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.