Senior Manager - Google Cloud Platform Data Architect

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

EY India is seeking an experienced Insurance Data, Analytics & AI leader to join EY GDS as Senior Manager. The role demands 18+ years, with 10-12+ years in Property & Casualty insurance, focusing on data, analytics transformation and technology-led modernization.

You will drive enterprise data strategies, architecture modernization, governance, reporting, and AI enablement across the insurance value chain, mentor global teams, and partner with executive stakeholders to deliver measurable

Qualifications

• 18+ years of overall experience with 10-12+ years in the Insurance industry.
• Deep knowledge of insurance processes, regulatory frameworks, and data ecosystems.
• Experience leading large Data, Analytics & AI managed services engagements.
• Experience scaling global delivery models across onshore, offshore and nearshore.

Responsibilities

• Define and execute enterprise-wide Data, Analytics & AI strategies aligned to business objectives.
• Lead data strategy, architecture, governance, integration, reporting and AI enablement.
• Mentor high-performing teams and drive transformation programs with governance and value delivery.

Skills

Data Strategy

Data Governance

Data Modeling

Data Warehousing

Cloud Platforms

Business Intelligence

Advanced Analytics

AI/ML Solutions

Data Integration

Job description

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

Lead large-scale initiatives spanning:

• Data Strategy & Roadmaps
• Data Architecture & Modernization
• Data Governance & Data Quality
• Data Integration, Conversion & Migration
• Enterprise Reporting & Business Intelligence
• Advanced Analytics & AI Enablement
• Data Platforms & Cloud Transformation

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:

• Underwriting
• Policy Administration
• Claims Management
• Billing & Collections
• Reinsurance
• 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.

Technology & Data Expertise

Strong experience across:

• Enterprise Data Strategy & Governance
• Data Modeling & Master Data Management
• Data Warehousing & Lakehouse Architectures
• Cloud Data Platforms (Azure, AWS, GCP)
• Enterprise Reporting & Business Intelligence
• Advanced Analytics & Data Science
• AI/ML Solutions and Intelligent Data Products
• Semantic Data Layers and Data Fabric Architectures
• Data Integration and API-led Ecosystems

AI & Innovation Leadership

The ideal candidate should demonstrate experience driving innovation through:

• Generative AI
• Agentic AI
• Decision Intelligence
• Knowledge Models
• Intelligent Data Products
• 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.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Experience Level Senior Level