Analyze insurance policy, premium, claims, billing, and financial data; build KPI dashboards and reports; write and optimize SQL; validate and model datasets; identify trends, anomalies, fraud indicators, and leakage; and translate business questions into clear recommendations for underwriting, actuarial, claims, finance, and other stakeholders. The role supports pricing, reserving, portfolio management, retention, and loss-ratio analyses.

Lead end-to-end AI/ML, data, and ETL architecture for regulated insurance platforms. Design lakehouse and Medallion architectures, feature stores, MLOps and GenAI/RAG solutions, scalable batch and streaming pipelines, canonical and dimensional data models, governance controls, security, lineage, and compliance frameworks. Guide technology selection, performance and cost optimization, engineering standards, and architecture reviews with senior client stakeholders.