Offshore Data Modeler

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

4+ years of 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 GCP).

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.

Preferred Certifications (not mandatory)

Erwin Data Modeler Certification.

Insurance certifications (e.g., AINS, CPCU) are highly desirable.

Data management certifications (e.g., CDMP).

Key Attributes

Strong analytical and problem-solving skills.

Excellent communication and stakeholder management abilities.

Detail-oriented with a focus on accuracy and compliance.

Ability to thrive in a fast-paced insurance environment with multiple priorities.

Originally posted on Himalayas