Data Delivery Leader

Managed Services Leader - AI & Data

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Job Description

Location: Bengaluru OR Kochi

Experience: 18+ years

Industry Preference: Insurance / Financial Services

Employment Type: Full Time

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Role Overview

We are looking for an experienced and strategic Managed Services Leader – AI & Data to lead large-scale managed services engagements for global  clients (Preferably Insurance/FS). The role will be responsible for driving end-to-end service delivery across AI, Data Engineering, Analytics, and Data Platforms while ensuring operational excellence, transformation, and AI-led optimization.

The ideal candidate should have strong experience in:

Managing large global managed service engagements
Leading complex and hostile transitions
Insurance domain and regulatory understanding
Driving AI-led productivity and service transformation
Building high-performing global delivery teams
Executive stakeholder management

This role will be based out of either Bengaluru or Kochi.

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Key Responsibilities

Managed Services Leadership

Lead large-scale AI & Data managed services engagements for global insurance clients across multiple geographies.
Own service delivery for Data Engineering, AI/ML platforms, BI & Analytics, Reporting, Data Governance, and Cloud Data Platforms.
Ensure SLA/KPI adherence, operational stability, service quality, customer satisfaction, and continuous improvement.
Establish robust governance models including operational reviews, executive steering committees, and service performance management.

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Transition & Transformation Leadership

Lead complex transition and transformation programs including incumbent takeovers and hostile transitions.
Build and execute structured transition plans covering discovery, KT, reverse KT, stabilization, hypercare, and steady-state operations.
Manage risks associated with poor documentation, SME dependency, fragmented landscapes, and operational instability.
Establish command center governance during critical transitions.

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AI-led Service Optimization

Drive AI-first managed services transformation strategy across operations and support functions.
Implement AI and automation use cases including:
Intelligent ticket routing
Incident prediction and prevention
Auto-remediation
Knowledge assistants / GenAI copilots
Predictive monitoring
Service analytics and insights
Deliver measurable improvements in productivity, MTTR, automation %, SLA performance, and cost optimization.

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Insurance Domain Leadership

Partner with insurance clients across:
Policy Administration
Claims
Underwriting
Distribution
Finance & Regulatory Reporting
Data & Analytics Platforms
Ensure alignment with insurance regulatory and compliance requirements including data privacy, auditability, and governance.
Bring understanding of platforms such as Guidewire, Duck Creek, Majesco, Salesforce, or equivalent ecosystems.

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Client & Commercial Management

Build strong CXO-level client relationships and act as a trusted advisor.
Support managed services growth through solutioning, transformation roadmaps, and value realization discussions.
Drive financial performance including revenue growth, margin improvement, productivity, and utilization optimization.
Lead executive-level escalations and service recovery initiatives.

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Leadership & Talent Development

Lead and mentor large global delivery teams across India and international locations.
Build a high-performance culture focused on accountability, innovation, customer centricity, and continuous learning.
Drive capability development in AI, Data Engineering, Cloud, and Insurance domain areas.

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Required Qualifications & Experience

18+ years of experience in IT services / managed services delivery.
8+ years leading large-scale managed services engagements.
Proven experience managing AI & Data managed services portfolios.
Strong experience in insurance domain engagements.
Demonstrated success in leading large and complex transitions, including hostile transitions.
Experience delivering AI-led operational optimization and automation initiatives.
Strong understanding of Data Engineering, Cloud Data Platforms, AI/ML Ops, Analytics, and enterprise data ecosystems.
Experience managing global delivery teams and multi-vendor ecosystems.
Strong executive communication and stakeholder management skills.

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Preferred Skills

Experience with cloud platforms such as Azure, Databricks
Exposure to GenAI operationalization and AI governance.
Understanding of ITIL / SRE / DevSecOps practices.
Experience in large transformation or outsourcing deals.
Knowledge of insurance regulations and compliance frameworks.

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Success Metrics

SLA and KPI performance
Client satisfaction (CSAT)
Transition stabilization timelines
AI-driven productivity improvements
Automation and cost optimization outcomes
Revenue and margin performance
Employee engagement and retention

 

 

 

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Experience Level

Senior Level