Manager-AI Delivery

Weekday AI•New York, NY

1d•Onsite

About The Position

We are looking for a seasoned AI Delivery Manager to oversee the complete delivery lifecycle of AI/ML and GenAI-driven projects for enterprise clients. The successful candidate will demonstrate strong experience in global delivery leadership, managing large-scale programs, and direct involvement with AI/ML/GenAI initiatives. This position demands a combination of technical expertise, stakeholder engagement, and exceptional execution skills, emphasizing the ability to scale AI solutions from proof-of-concept to full production deployment.

Requirements

10 to 15 years of experience in delivery and program management.
Demonstrated success in managing large-scale enterprise programs.
Practical experience with AI/ML/GenAI projects for at least 1 to 3 years.
Strong expertise in: Global delivery models, Stakeholder management, Budget oversight and portfolio ownership.
A background in data platforms or managing large-scale enterprise systems is highly desirable.
AI model deployment
MLOps
Data science delivery

Nice To Haves

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

Responsibilities

Oversee the complete delivery lifecycle of AI/ML and GenAI programs, from initial ideation and proof of concept through to production deployment.
Coordinate multiple AI projects, including: Applications of Large Language Models (RAG, agents, copilots), Deployment of data science and machine learning models, AI-driven automation and business transformation initiatives.
Ensure projects are delivered on schedule with high quality and cost-effectiveness throughout engagements.
Serve as a trusted advisor to enterprise clients operating in data-intensive sectors.
Collaborate closely with senior leadership (CTO, CIO, Product Heads) to establish AI strategies and roadmaps.
Drive account growth and explore expansion opportunities.
Manage extensive, multi-million dollar portfolios and programs.
Lead distributed and global teams comprising engineering, data science, and product professionals.
Implement delivery governance frameworks, establish KPIs, and maintain reporting mechanisms.
Ensure compliance with Agile and Scrum methodologies and best practices.
Collaborate closely with AI/ML teams on: Model development lifecycles, MLOps and deployment strategies, Data pipeline management and cloud infrastructure.
Promote adoption of: Generative AI tools (such as LangChain, LlamaIndex, OpenAI, etc.), Cloud platforms including AWS, GCP, and Azure.
Offer guidance on AI system solution architecture.
Lead initiatives driving AI-based digital transformation.
Identify opportunities to: Automate legacy systems, Enhance efficiency through AI technologies, Reduce operational costs with intelligent solutions.