Manager-AI Delivery

Weekday 1; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

Weekday 1 client is seeking an experienced AI Delivery Manager to oversee the end-to-end delivery lifecycle of AI/ML and GenAI initiatives for enterprise clients in NYC.

You will lead global delivery teams, engage with senior stakeholders (CTO, CIO, Product Heads), establish AI strategies, govern programs, and drive growth opportunities.

The role emphasizes scaling from proof-of-concept to production, strong execution, and adherence to Agile and Scrum practices.

Qualifications

• 10–15 years of delivery and program management experience.
• Proven success managing large-scale enterprise programs.
• Experience with AI/ML/GenAI projects for 1–3 years.
• Background in data platforms or managing large-scale enterprise systems is desirable.

Responsibilities

• Oversee the complete delivery lifecycle of AI/ML and GenAI programs, from ideation to production deployment.
• Coordinate multiple AI projects including LLM applications, data science model deployments, and AI-driven transformations.
• Ensure on-time delivery with high quality and cost-effectiveness across engagements.
• Serve as trusted advisor to enterprise clients and collaborate with CTO/CIO/Product Heads to shape AI roadmaps.
• Manage large multi-million dollar portfolios, lead distributed global teams, and implement governance with KPIs.

Skills

AI model deployment

MLOps

Data science delivery

Job 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 - ONSITE

Role 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.

Requirements

Key Responsibilities

AI 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:
• Automate legacy systems
• Enhance efficiency through AI technologies
• Reduce operational costs with intelligent solutions

Required Qualifications

• 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.

Must-have skills

AI model deployment

MLOps

Data science delivery

Good-to-have skills

AI/ML Program Manager

AI Product Delivery Manager

Data & AI Program Manager