Data Modeler With P&C Insurance

  • Jersey City, NJ
  • Posted 9 hours ago | Updated 2 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - W2

Skills

Jersey
Data Integrity
Scalability
Billing
OLTP
Analytical Skill
OLAP
Policy Administration
Actuarial Science
Finance
Regulatory Compliance
Reporting
IFRS
Stakeholder Engagement
Extract
Transform
Load
Business Intelligence
Collaboration
Business Rules
Impact Analysis
ERwin
Data Modeling
Modeling
Payments
Underwriting
Reinsurance
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Flow
Physical Data Model
SQL
Data Analysis
Insurance
ACORD
ISO 9000
Data Governance
Meta-data Management
Computer Science
Information Systems
Data Management

Job Details

Job Title: Data Modeler With P&C Insurance
Location: Jersey City, NJ Onsite Need Local Profiles

Work mode: Hybrid (4 days a week onsite)
Type: Contract C2C/W2

Overall Experience: 12+ Years

Position Overview

We are seeking a skilled Data Modeler with expertise in designing, implementing, and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual, logical, and physical data models that support insurance operations, including policy administration, claims, underwriting, billing, and regulatory compliance. The role requires strong experience with Erwin Data Modeler or similar tools, deep knowledge of insurance data processes, and the ability to work closely with business and technical stakeholders to ensure data integrity, scalability, and compliance.

Key Responsibilities

Data Modeling & Design

  • Design, develop, and maintain conceptual, logical, and physical data models for insurance applications and systems (claims, policy, underwriting, billing, reinsurance, etc.).
  • Build and maintain enterprise data models aligned with insurance industry standards (e.g., ACORD).
  • Define data dictionaries, metadata, and relationships to support data governance and consistency.
  • Ensure data models are optimized for both transactional (OLTP) and analytical (OLAP) systems.

Insurance Domain Expertise

  • Translate business requirements from claims, policy administration, underwriting, actuarial, and finance teams into scalable data solutions.
  • Support regulatory and compliance reporting requirements (e.g., IRDAI, IFRS, Solvency II).
  • Ensure models capture core insurance processes such as claims intake, adjudication, settlement, renewals, endorsements, and cancellations.

Collaboration & Stakeholder Engagement

  • Partner with business analysts, data architects, and developers to deliver insurance-specific data solutions.
  • Work with data warehouse, ETL, and BI teams to ensure seamless integration of insurance data.
  • Collaborate with actuaries, claims specialists, and policy teams to validate data definitions and usage.

Governance & Standards

  • Enforce data governance and quality standards across insurance systems.
  • Document business rules, lineage, and data definitions for core insurance entities.
  • Conduct impact analysis for changes in insurance processes and data flows.

Qualifications

Experience

  • Experience as a Data Modeler or Data Architect, preferably in the insurance industry.
  • Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools).
  • Proven expertise in modeling insurance data entities such as Policy, Customer, Premiums, Claims, Payments, Underwriting, Reinsurance, and Agents/Brokers.
  • Experience working with data warehouses, data lakes, and cloud platforms (AWS, Azure, or Google Cloud Platform).

Skills

  • Strong knowledge of insurance domain data flows and regulatory needs.
  • Expertise in conceptual, logical, and physical modeling.
  • Proficiency in SQL for data analysis and validation.
  • Familiarity with insurance standards (e.g., ACORD, ISO) is a plus.
  • Understanding of data governance, metadata management, and lineage tracking.

Education

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a related field.
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