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Vice President 1

EXL

Posted 26 Jun 2026

BengaluruHigh payGreat Place to Work
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Lead enterprise-scale AI and Generative AI delivery programs, driving measurable business outcomes across clients. Own end-to-end execution, stakeholder engagement, and solution scaling, while shaping AI-led transformation journeys.

Responsibilities

  • Delivery Leadership

    • Own end-to-end delivery of AI/GenAI programs across multiple accounts
    • Drive timely, high-quality execution with clear business outcomes (revenue, cost, efficiency)
    • Establish delivery governance, KPIs, and performance tracking

    Program & Portfolio Management

    • Manage a portfolio of AI initiatives (GenAI, automation, advanced analytics)
    • Lead program planning, risk management, and cross-functional alignment
    • Ensure scalable delivery using Agile, MLOps, and LLMOps practices

    Client & Stakeholder Management

    • Act as a trusted advisor to senior client stakeholders
    • Translate business problems into AI-led solutions and execution roadmaps
    • Drive client satisfaction, retention, and growth

    AI Solution Oversight

    • Guide teams on LLM-based applications, RAG architectures, and agentic workflows
    • Ensure solutions meet enterprise standards (scalability, security, governance)
    • Promote use of reusable assets and accelerators

    Business Growth & Pre-Sales

    • Support AI solutioning for large deals and strategic bids
    • Partner with sales to develop value propositions and proposals
    • Identify expansion opportunities within accounts

    Team Leadership

    • Build and lead high-performing AI teams (architects, data scientists, engineers)
    • Mentor leaders and drive capability development in GenAI
    • Foster a culture of ownership, innovation, and delivery excellence

Qualifications

    • 12–15 years in AI/Analytics delivery, consulting, or digital transformation
    • Proven experience managing end-to-end delivery of enterprise-scale programs
    • Strong exposure to Generative AI (LLMs, RAG, AI automation)
    • Experience working with enterprise clients and senior stakeholders
    • Solid understanding of cloud ecosystems (AWS / Azure / GCP)
    • Track record of leading teams and driving multi-program execution