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.