AI Delivery Manager

Weekday AI•New York, NY

2d•Onsite

About The Position

We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs across enterprise clients. The ideal candidate will bring strong global delivery leadership, large-scale program management, and hands-on exposure to AI/ML/GenAI initiatives. This role requires a blend of technical depth, stakeholder management, and execution excellence, with a focus on scaling AI solutions from POC to production.

Requirements

10–15 years of experience in delivery/program management
Proven track record in managing large-scale enterprise programs
Hands-on exposure to AI/ML/GenAI projects (minimum 1–3 years)
Strong experience in global delivery models
Strong experience in stakeholder management
Strong experience in budget and portfolio ownership
Background in data platforms or large-scale enterprise systems is highly preferred
AI model deployment
MLOps
Data science delivery

Nice To Haves

AI/ML Program Manager
AI Product Delivery Manager
Data & AI Program Manager

Responsibilities

Lead end-to-end delivery of AI/ML and GenAI programs, from ideation and POC to production deployment
Manage multiple AI initiatives including: LLM applications (RAG, agents, copilots), Data science and ML model deployment, AI-driven automation and transformation programs
Ensure timely delivery, quality, and cost efficiency across engagements
Act as a trusted advisor to enterprise clients across data-intensive domains
Collaborate with senior stakeholders (CTO, CIO, Product Heads) to define AI strategy and roadmap
Drive account growth and expansion opportunities
Manage large-scale, multi-million dollar portfolios/programs
Lead distributed/global teams across engineering, data science, and product
Establish delivery governance, KPIs, and reporting mechanisms
Ensure adherence to Agile/Scrum methodologies and best practices
Work closely with AI/ML teams on: Model development lifecycle, MLOps and deployment strategies, Data pipelines and cloud infrastructure
Drive adoption of: GenAI tools (LangChain, LlamaIndex, OpenAI, etc.), Cloud platforms (AWS/GCP/Azure)
Provide guidance on solution architecture for AI systems
Lead AI-led digital transformation initiatives
Identify opportunities to: Automate legacy systems, Improve efficiency using AI, Reduce operational costs via intelligent solutions