The IT Data Modeler is responsible for designing, developing, and maintaining enterprise data models that support insurance operations, reporting, analytics, underwriting, claims, policy administration, risk management, and regulatory reporting. The role requires robust expertise in insurance data concepts, relational database design, data modeling methodologies, and data governance practices.

A strong candidate will have 5+ years of Data Modeling experience, deep knowledge of relational databases and table design, and practical experience in the Property & Casualty Insurance industry including Policy, Claims, Underwriting, Risk, and Premium data structures.

Key Responsibilities

- Design conceptual, logical, and physical data models.
- Create models for Policy, Claims, Billing, Customer, Broker, Risk, Coverage, and Reinsurance domains.
- Develop dimensional models for reporting and analytics.
- Maintain source-to-target mappings, metadata, and data dictionaries.
- Support database optimization, data quality, governance, audit, and compliance initiatives.
- Collaborate with Business, Architecture,



Engineering, and Analytics teams.

Required Qualifications

- 5+ years Data Modeling and Database Design experience.
- 3+ years Property & Casualty Insurance experience.
- Strong knowledge of insurance business processes and enterprise data structures.

Technical Skills

- Conceptual, Logical & Physical Data Modeling
- ER Modeling and Dimensional Modeling (Star/Snowflake)

Insurance Domain Knowledge

Policy Administration, Claims Management, Underwriting, Risk & Exposure, Premium & Billing, Coverage & Endorsements, Broker & Customer Data, Regulatory Reporting.

Preferred Qualifications

Azure Data Services knowledge, Data Warehousing/Data Lake experience, and familiarity with MDM and Data

Governance frameworks.

Insurance Business Acumen, Data Architecture, Database Optimization, Data Governance, Business Analysis,

Stakeholder Engagement, Communication, Strategic Thinking, and Delivery Focus."

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📌 Data Modeler (Toronto)
🏢 Capgemini
📍 Toronto