This individual will collaborate closely with other Verisk teams, customers, and implementation partners to establish best-in-class data modeling standards, guide data persistence practices, define canonical structures, and ensure seamless integration with policy administration systems and related downstream applications. The ideal candidate combines deep P&C industry knowledge with hands-on technical expertise across data modeling, databases, React-based UI integration, REST API design, and cloud-native architecture.
Design, evolve, and maintain a canonical insurance data model (CIDM) that supports ISO ERC and proprietary carrier products, and custom extensions.
Define and enforce standards for data capture, persistence, normalization, and extensibility, ensuring alignment with the FAST P&C Platform's architecture.
Define end-to-end technical architecture for integration with downstream systems (rating, analytics, reporting).
Design and optimize relational schemas in SQL Server and PostgreSQL, including indexing strategies, partitioning approaches, stored procedures, and performance tuning.
Provide technical leadership to developers, modelers, DBAs, and data engineers.
Mentor teams on data design principles, insurance concepts, API patterns, and cloud architecture.
Serve as the data architecture authority for the FAST P&C Platform team.
8+ years of experience in data architecture, modeling, and solution design within the P&C insurance domain.
Deep understanding of policy, product, coverage, rating, and forms data structures.
Proven expertise in canonical data models, handling complex hierarchies, and implementing effective dating/versioning.
Experience working with or integrating major policy administration platforms (FAST, Guidewire, Duck Creek, etc.).
Strong knowledge of SQL Server and PostgreSQL (schema design, indexing, performance tuning).
Hands-on experience with .NET (C#, ASP.NET) for enterprise-grade services.
Experience with React for building dynamic UI components.
Expertise in REST API design, including security, versioning, and scalability.
Practical experience with AWS cloud services for deployment and integration.
Excellent communication skills across technical and business domains.
Strong leadership and mentoring capabilities.
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