Data Architect Insurance Life General Insurance-IQ/KH/01

Data Architect – Insurance (Life & General Insurance)

Location: Mumbai / Pune

Work Mode: Hybrid

Experience: 10–18 years

Employment Type: Full-Time

About the Role

We are seeking an experienced and hands-on Data Architect with deep expertise in Insurance data models across both Life Insurance and General Insurance domains. The ideal candidate will have extensive experience designing enterprise data architectures, insurance canonical data models, integration architectures, and analytical data platforms.

This role requires strong technical capabilities combined with domain expertise to define, govern, and implement scalable insurance data solutions across policy administration, underwriting, claims, billing, customer, and distribution systems.

Key Responsibilities

Data Architecture & Design

·      Define and maintain enterprise data architecture and target-state data models for insurance platforms.

·      Design and implement data architectures that support Artificial Intelligence, Machine Learning, and Generative AI use cases.

·      Design conceptual, logical, and physical data models for Life and General Insurance businesses.

·      Develop and maintain canonical insurance data models across applications and business domains.

·      Design semantic data models and knowledge structures to improve discoverability and AI usability of enterprise data.

·      Define strategies for preparing insurance data assets for AI-driven analytics and intelligent automation.

Insurance Domain Architecture

·      Design data models covering all key functional areas in Insurance from Policy to Reinsurance

·      Understand insurance concepts including:

o  Policy lifecycle

o  Coverage and benefits

o  Premium and billing structures

o  Claims lifecycle

o  Risk and underwriting data

o  Regulatory reporting requirements

Data Integration & Modern Data Platforms

·      Design data integration patterns across core insurance systems, digital platforms, APIs, and external partners.

·      Define enterprise canonical models and API data contracts.

·      Architect data solutions for cloud data platforms and analytical ecosystems.

·      Support real-time, event-driven, and batch data integration architectures.

·      Collaborate with application, integration, and enterprise architects.

Retrieval and Knowledge Architectures

·      Experience designing data architectures that support:

o  Retrieval-Augmented Generation (RAG)

o  Vector databases and embeddings

o  Metadata-driven information retrieval

·      Understanding of approaches for combining structured insurance data with documents, correspondence, policy wordings, claims documents, and underwriting content.

Agentic AI and Intelligent Systems

·      Familiarity with Agentic AI concepts and AI agents that can consume enterprise APIs and data services.

·      Understanding of how insurance data models and APIs can enable autonomous or semi-autonomous business agents.

·      Awareness of Model Context Protocol (MCP), tool-based AI integrations, and AI orchestration concepts is desirable.

Data Governance & Quality

·      Establish data governance frameworks and data quality standards.

·      Define data lineage, ownership, stewardship, and metadata management practices.

·      Support regulatory compliance and audit requirements.

·      Drive data quality initiatives across business and technology teams.

Stakeholder Engagement

·      Work closely with business teams, architects, delivery teams, and external partners.

·      Conduct data model reviews and architecture governance sessions.

·      Mentor development and data engineering teams on best practices.

·      Support pre-sales, solutioning, and transformation initiatives where required.

Required Experience

·      10+ years of experience in Data Architecture, Data Modeling, or Enterprise Data Management.

·      Minimum 5 years of experience in the Insurance industry.

·      Strong knowledge of both Life Insurance and General Insurance business domains.

·      Hands-on experience creating conceptual, logical, and physical data models.

·      Experience designing canonical data models and enterprise data architectures.

·      Strong SQL and database design skills.

·      Experience with relational and analytical databases.

Preferred Technical Skills

·      Data Modeling Tools (Erwin,ER/Studio/Sparx EA/PowerDesigner)

·      Databases ( Oracle/SQL Server/PostgreSQL/Snowflake)

·      Cloud Platforms (AWS/Azure/GCP)

·      Data Technologies:

o  Data Warehousing

o  Data Lakes

o  ETL/ELT tools

o  API-based integrations

o  Event-driven architectures

·      Standards and Frameworks:

o  Data Governance

o  Master Data Management

o  Metadata Management

o  Data Quality Frameworks

·      Understanding of Large Language Models (LLMs) and Generative AI concepts.

·      Familiarity with semantic search and embeddings.

·      Knowledge of knowledge graphs and semantic models

Preferred Industry Exposure

Experience working with one or more of the following:

·      Core Insurance Platforms

·      Insurance Integration Platforms

·      Regulatory and Reporting Systems

Educational Qualifications

·      Bachelor's degree in Engineering, Computer Science, Information Technology, or related field.

·      Master's degree is preferred.

·      Relevant certifications in Data Architecture, Cloud Platforms, or Data Management are advantageous.

Personal Attributes

·      Strong analytical and problem-solving skills.

·      Excellent communication and stakeholder management abilities.

·      Ability to work across business and technology teams.

·      Hands-on approach with willingness to work on detailed data models and solution design.

·      Ability to lead architecture discussions and mentor teams.