Description

Objectives of the Role:

We are seeking a seasoned AI Delivery Manager (AVP level) to lead end-to-end delivery of AI programs—including GenAI and classical ML—across diverse technology stacks. This role owns delivery outcomes from discovery through production, driving measurable business value, robust governance, and adoption across data, model, application, and platform workstreams.
The ideal candidate will lead multiple high-impact AI initiatives, manage cross-functional teams (data science, data engineering, product, platform, security, and QA), and ensure delivery predictability, compliance, and adoption in Agile/Hybrid environments. Responsibilities
1. Program & Project Leadership (End-to-End Ownership)
- Lead end-to-end delivery for multiple AI initiatives (discovery, solution design, build, validation, deployment, and hypercare) across diverse tech stacks.
- Own delivery accountability: scope, schedule, budget, quality, risk, and realized business outcomes (adoption, accuracy, productivity, cost, revenue).
- Establish integrated plans across data engineering,



model development, application engineering, and platform/MLOps to ensure predictable releases and production stability.

2. Strategic Planning & Governance
- Establish program governance including AI-specific KPIs/OKRs (model performance, drift, latency, cost-to-serve), release gates, and audit-ready documentation.
- Oversee estimation, staffing, and capacity planning (data, DS/ML, prompt/LLM engineering, backend/frontend, cloud, security) and manage dependencies across teams.
- Ensure compliance with SDLC/MLLC, data governance, privacy, security, and model risk standards; drive proactive RAID management and control effectiveness.

3. AI/ML Delivery Oversight (Critical Capability)
- Lead delivery for AI/ML and GenAI solutions (including RAG, copilots, and intelligent automation), ensuring fit-for-purpose architecture and alignment to business objectives.
- Guide teams across the AI lifecycle:

📌 Program Manager (Uttar Pradesh)
🏢 EXL
📍 Uttar Pradesh