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.

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