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Managed Services Leader - AI Data

EY · Bengaluru, Karnataka, India · Full-time · Mid-Level

Salary Salary not disclosed

About the role

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Job Description

Location:   Bengaluru  OR Kochi

Experience:  18+ years

Industry Preference:  Insurance / Financial Services

Employment Type:  Full Time ⸻ 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 . ⸻ 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. ⸻ 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. ⸻ 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. ⸻ 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. ⸻ 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. ⸻ 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. ⸻ 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. ⸻ 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. ⸻ 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

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