Data & AI Solution Architect

· Develop a deep understanding of customer landscape/objective and drive Data & AI growth by identifying opportunities, shaping solutions, creating compelling proposals, and presenting business value to executive stakeholders · Bring industry trends and emerging technology perspectives to customer discussions · Lead end-to-end solutioning for Data and AI opportunities · Understand TCS' Data solutions/offerings and help to contextualize it for the customer · Define target-state architecture and transformation roadmap · Develop enterprise data models that support core insurance functions such as policy administration, claims processing, billing, and reinsurance. · Evaluate Tool & technologies, run proof of concept and propose technology options and solutions to the client. · Lead the modernization of legacy systems and migration to cloud-based data platforms (e.g., Azure, AWS). · Define data integration strategies across internal systems (e.g., Guidewire, Duck Creek) and third-party data providers (e.g., ISO, LexisNexis). · Drive solutions for data quality, lineage, and governance in compliance with industry regulations (e.g., NAIC, SOX). · Support advanced analytics, predictive modeling, and AI/ML initiatives by ensuring data readiness and accessibility. Generic Managerial Skills, If any · Consulting mindset · Ability to drive decisions · Able to work with cross functional teams across geographies

Must Have Technical/Functional Skills · Strong understanding of insurance data domains: policy, claims, billing, underwriting, actuarial, and regulatory reporting. · Experience with Data Architecture - Data Products, Semantic Layer, Data Governance, Metadata Management, Data Catalog, Data Quality · Strong understanding of RAG, Agentic AI, LLM Orchestration, Vector Databases · Experience with cloud data platforms (AWS Redshift, AWS Glue, Snowflake). · Proficiency in data modeling, ETL/ELT design, and data warehousing. · Experience with tools like SQL, Python, Spark, Informatica, Talend, DataStage · Experience working with CIOs/CDOs on defining data strategies, data modernization, AI/GenAI adoption strategies