Engagement Delivery Lead – GenAI Programs

Location: Pan India   •   Experience: Senior Level   •   Openings: 1
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Job description


Engagement Delivery Lead – Gen AI Programs

Role Overview

The Engagement Delivery Lead is accountable for the successful delivery and governance of multiple Generative AI (Gen AI) initiatives across a client engagement. This role combines program delivery leadership with PMO oversight, ensuring predictability, transparency, stakeholder alignment, and measurable business value from Gen AI investments.
Key Responsibilities

Delivery & Program Leadership

  • Own end‑to‑end delivery of multiple concurrent GenAI projects
  • Drive integrated planning across discovery, build, pilot, rollout, and scale phases
  • Ensure delivery commitments on scope, schedule, quality, and budget
PMO & Governance
  • Establish and run engagement‑level PMO governance for all GenAI initiatives
  • Track milestones, RAID, dependencies, and delivery KPIs
  • Lead executive reviews, steering committees, and status reporting
  • Manage scope control, change management, and escalations
Stakeholder Management
  • Act as the primary delivery and governance interface for senior client stakeholders
  • Translate business priorities into executable GenAI roadmaps
  • Provide proactive communication on progress, risks, and outcomes
Resource & Financial Management
  • Manage resource planning and capacity across multiple GenAI projects
  • Align resource load with detailed activity plans
  • Track effort, cost, burn rate, and forecasts to protect delivery and margins
GenAI Oversight
  • Provide delivery oversight for GenAI use cases (e.g., copilots, chatbots, automation)
  • Ensure adherence to architecture, security, data privacy, and Responsible AI standards
  • Coordinate across data, cloud, platform, and MLOps teams
Value Realization
  • Track adoption, productivity gains, and business KPIs
  • Identify opportunities for scaling, reuse, and roadmap expansion
Skills & Experience
  • 10+ years of digital delivery experience
  • 3–5+ years managing large engagements or multiple parallel projects
  • Proven experience delivering AI / Gen AI / analytics programs
  • Strong PMO, governance, and client‑facing leadership skills
Working knowledge of Gen AI concepts (LLMs, RAG, cloud AI platforms)