Engagement Delivery Lead – GenAI Programs
Role Overview
The Engagement Delivery Lead is accountable for the successful delivery and governance of multiple Generative AI (GenAI) initiatives across a client engagement. This role combines program delivery leadership with PMO oversight , ensuring predictability, transparency, stakeholder alignment, and measurable business value from GenAI 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 / GenAI / analytics programs
Strong PMO, governance, and client‑facing leadership skills
Working knowledge of GenAI concepts (LLMs, RAG, cloud AI platforms)
Success Measures
Predictable, on‑time delivery of GenAI initiatives
Strong governance, transparency, and stakeholder confidence
Measurable business outcomes and scalable GenAI adoption
