Data Modeler (ACORD Insurance Domain)

Role Overview

We are seeking an experienced Data Modeler to design, develop, and govern enterprise-scale insurance data models aligned with ACORD standards. The role focuses on enabling a consistent, scalable, and integrated data ecosystem across both legacy and modern platforms within the insurance domain.

Key Responsibilities

• Design conceptual, logical, and physical data models aligned with ACORD Information and Data Models
• Develop and maintain enterprise canonical data models across core insurance domains such as Policy, Claims, Party, and Billing
• Ensure data consistency, normalization, and scalability across enterprise systems
• Translate business requirements into ACORD-compliant data structures
• Apply and interpret ACORD Reference Architecture components including Information Model, Data Model, and Business Glossary
• Perform end-to-end data mapping (source → ACORD canonical → target systems)
• Enable data integration and interoperability across legacy and modern insurance platforms
• Support API, messaging, and data exchange design aligned with ACORD standards
• Design and implement data warehouse/data lake models based on ACORD-aligned structures
• Collaborate with business stakeholders and technical teams to convert requirements into optimized data models
• Establish and enforce data standards, naming conventions, and metadata governance practices
• Contribute to data governance, data quality, and data lineage frameworks
• Maintain data models, dictionaries, and mapping documentation with full traceability
• Support modernization initiatives by aligning legacy systems/data to ACORD frameworks
• Conduct model validation, impact analysis, and compliance checks against enterprise and regulatory standards

Required Skills & Qualifications

• Strong experience in data modeling (conceptual, logical, and physical)
• Deep understanding of ACORD standards and reference models
• Experience in insurance domain (Policy, Claims, Billing, Party)
• Hands-on expertise in data mapping and canonical modeling
• Knowledge of data integration, APIs, and messaging frameworks
• Experience in data warehousing and/or data lake design
• Familiarity with data governance, metadata management, and data quality frameworks
• Strong analytical, problem-solving, and stakeholder communication skills

Nice to Have

• Experience working with enterprise data architecture frameworks
• Exposure to cloud-based data platforms (AWS/Azure/GCP)
• Knowledge of regulatory and compliance standards in insurance