weekday-1
Manager-AI Delivery
- Compensation
- Not disclosed
- Location
- New York, New York, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 10+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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:
- Ensure projects are delivered on schedule with high quality and cost-effectiveness throughout engagements.
- 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:
- A background in data platforms or managing large-scale enterprise systems is highly desirable.
- AI model deployment
- MLOps
- Data science delivery
Nice to have
- AI/ML Program Manager
- AI Product Delivery Manager
- Data & AI Program Manager
Full description
**This role is for one of the Weekday's clients
JobType: full-time
Job Title: AI Delivery Manager (10–15 Years Experience)Location: NYC, NY - ONSITERole Overview
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.
RequirementsKey ResponsibilitiesAI Program Delivery
- 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.
Client & Stakeholder Management
- 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.
Delivery & Program Management
- 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.
AI & Technology Leadership
- 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.
Transformation & Innovation
- Lead initiatives driving AI-based digital transformation.
- Identify opportunities to: