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Data & AI Solution Architect

Stanley David and AssociatesJersey City, NJ🇺🇸United StatesPosted 16 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your expertise in data architecture and AI technologies, including RAG and LLM orchestration, to drive significant growth and innovation for clients within the insurance sector. You'll thrive here if you excel at shaping strategic data solutions, modernizing legacy systems, and presenting compelling business value to executive stakeholders, all while enjoying the flexibility of a hybrid work environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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
 
Roles & Responsibilities
 
· 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

Skills

SQL
AWS
ETL
Snowflake
Azure
LLM
Python
Redshift

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