EY - GDS Consulting - AI And DATA - AI Cloud Arch - Senior Manager

EY; Bengaluru; On-site; INR 4,500,000 - 9,000,000; Full time

Job summary

EY - GDS Consulting - AI And DATA - AI Cloud Arch - Senior Manager in Bengaluru leads enterprise data, analytics and AI initiatives for insurance clients. The role requires 18+ years of experience, with 10-12+ years in Property & Casualty insurance, and deep knowledge of operations, governance and regulatory reporting.

You will drive modern data architectures, cloud migrations, data quality, and AI-enabled platforms, mentor high-performing teams, and shape strategic investments in Data,

Qualifications

• 18+ years overall professional experience.
• 10–12+ years in Insurance industry.
• Experience leading Data, Analytics & AI transformations.
• Strong leadership and stakeholder management abilities.

Responsibilities

• Define and execute enterprise-wide Data, Analytics & AI strategies aligned to transformation priorities.
• Lead Data Governance & Data Quality initiatives.
• Oversee Data Integration, Conversion & Migration programs.
• Drive Advanced Analytics & AI Enablement across insurance clients.
• Design scalable insurance data ecosystems, platforms, KPIs and reporting.
• Manage cloud migration and next-gen analytics programs.
• Advise on target-state operating models and transformation roadmaps.
• Lead programs from strategy to execution with governance and risk control.
• Collaborate with business and technology stakeholders to deliver measurable value.
• Mentor teams and develop capabilities across Data, Analytics, Cloud, and AI.

Skills

Data Analytics

AI Leadership

Data Governance

Data Integration

Cloud Migration

Stakeholder Management

Job description

EY - GDS Consulting - AI And DATA - AI Cloud Arch - Senior Manager

Other locations: Primary Location Only

Date: Oct 8, 2026

Requisition ID: 1723658

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Senior Manager – Insurance Data, Analytics & AI

We are seeking an experienced Insurance Data, Analytics & AI Leader to join our team as a Senior Manager. The ideal candidate will bring 18+ years of overall experience, including 10-12+ years within the Property & Casualty Insurance industry, with deep expertise across insurance business operations, data and analytics transformation, and technology-led business modernization.

Role Overview

This leadership role requires a seasoned professional with extensive experience working with insurance carriers and a strong understanding of insurance products, operations, regulations, business processes, reporting requirements, and performance management frameworks across the insurance value chain. The successful candidate will drive large-scale Data, Analytics, and AI transformation initiatives that enable business growth, operational excellence, regulatory compliance, and data-driven decision-making.

Key Responsibilities

• Define and execute enterprise-wide Data, Analytics & AI strategies aligned to business objectives and transformation priorities.
• Data Governance & Data Quality
• Data Integration, Conversion & Migration
• Advanced Analytics & AI Enablement
• Design and implement scalable insurance data ecosystems, analytical platforms, KPI frameworks, reporting solutions, and AI-ready data foundations.
• Drive insurance data modernization programs involving legacy transformation, cloud migration, enterprise data platforms, and next-generation analytics solutions.
• Advise clients on target-state operating models, transformation roadmaps, data operating frameworks, and strategic investments in Data, Analytics, and AI.
• Lead complex programs from strategy through execution, ensuring governance, financial management, risk mitigation, stakeholder alignment, and successful business outcomes.
• Partner closely with business and technology stakeholders to deliver measurable value through data-driven initiatives.
• Contribute to business growth through solution development, pursuit support, proposal leadership, and account expansion activities.
• Build and scale reusable accelerators, frameworks, industry solutions, and best practices that enhance delivery effectiveness and client value.
• Mentor and develop high-performing teams while strengthening organizational capabilities across Data, Analytics, Cloud, and AI.

Insurance Domain Expertise

Candidates must possess strong functional knowledge across the insurance value chain, including:

• Policy Administration
• Claims Management
• Billing & Collections
• Actuarial Functions
• Finance & Regulatory Reporting
• Distribution & Agency Operations
• Risk & Compliance Management

The candidate should have a deep understanding of insurance data models, business metrics, operational reporting, analytical reporting, regulatory requirements, and performance management practices.

Experience & Qualifications

• 18+ years of overall experience with 10-12+ years in the Insurance industry, preferably Life Insurance.
• Strong understanding of insurance business processes, operational models, regulatory frameworks, and industry data ecosystems.
• Experience supporting modernization programs involving core insurance platforms, data migration, data conversion, enterprise reporting, and analytics transformation.
• Familiarity with leading insurance platforms, industry data models, integration frameworks, and insurance technology ecosystems is highly desirable.
• Proven experience leading and managing large-scale Insurance Data, Analytics & AI Managed Services engagements, with accountability for service delivery, SLAs, operational performance, governance, and continuous improvement.
• Experience establishing and scaling global delivery models across onshore, offshore, and nearshore teams while ensuring high-quality, cost-effective service delivery.
• Strong understanding of production support and managed services operations, including incident management, problem management, service request fulfilment, release support, change management, and operational reporting

Strong experience across:

• Enterprise Data Strategy & Governance
• Data Modeling & Master Data Management
• Data Warehousing & Lakehouse Architectures
• Advanced Analytics & Data Science

  AI & Innovation Leadership

  The ideal candidate should demonstrate experience driving innovation through:

  • Generative AI
  • Agentic AI
  • Predictive & Prescriptive Analytics
  • AI-powered Business Intelligence and Automation

  Experience applying these capabilities to improve productivity, operational efficiency, customer experience, risk management, and business decision-making within insurance organizations is highly desirable.

  Leadership & Consulting Skills

  • Executive stakeholder management and relationship-building capabilities.
  • Strong consulting, advisory, and problem-solving skills.
  • Experience conducting business capability assessments and defining transformation strategies.
  • Ability to engage effectively with C-suite executives, business leaders, and technology stakeholders.
  • Proven track record of influencing strategic decisions and driving enterprise-wide transformation initiatives.

  What Success Looks Like

  The successful candidate will be recognized as a trusted Insurance Data & AI leader who combines deep insurance domain expertise, technology leadership, consulting excellence, and large-scale program delivery experience to help organizations unlock business value, accelerate modernization, and build data-driven enterprises.

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