Data Modeling
Hybrid · Karnataka, India
Job Summary
Lead enterprise-grade data modeling and information architecture for an insurance portfolio, defining conceptual, logical, and physical models; standardize data across core domains; partner with underwriting, claims, actuarial, finance, and engineering; enable analytics/AI use cases; oversee migrations and platform modernizations; mentor a team of 5–10+ data modelers; guide engineering teams on cloud platforms (Azure/AWS/GCP) and lakehouse stacks; ensure performance, data quality, and governance; drive UAT/SIT for data products and manage risks.
Required Qualifications
- 8+ years total in Data & Analytics
- 5+ years in data modeling/information architecture/data design
- 5+ years in the insurance domain
- 5+ years working with or supporting specialty lines (preferred)
- 4+ years in leadership/people management
- 3+ years working with insurance core systems (e.g., Guidewire, Duck Creek, Majesco/Insurity, or equivalent)
- Expert in conceptual, logical, physical modeling; dimensional/star/snowflake, data vault, temporal/versioned data design
- Strong SQL and proficiency
- Implementation experience on Azure/AWS/GCP and lakehouse paradigms (e.g., Delta/Iceberg)
- ETL/ELT (ADF, Glue, Talend, Fivetran, Airflow)
- semantic layers/BI (Power BI/Tableau/Looker) and MDM concepts
- Deep understanding of policy lifecycle, coverages/endorsements, exposures/locations, claims & reserves, reinsurance, broker/bordereaux/distribution, and financial data flows
- Ability to translate underwriting, actuarial, and claims requirements into scalable data designs
- Proven experience in data standards, glossary, lineage and DQ rulebooks
- Executive presence; structured storytelling and documentation
- Stakeholder management across business and technology; design authority facilitation
- Team development, workload planning, and delivery governance in Agile/hybrid models
- Preferred: Specialty lines depth (e.g., Cyber, Marine, Energy, Financial Lines); Cloud certifications (Azure/AWS/GCP); governance platforms (Collibra, Alation, Atlan, Purview); experience with rating engines and underwriting workbenches
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