AI Delivery Manager

Weekday 1

New York (NY)

On-site

USD 180,000 - 250,000

Full time

14 days+
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Job summary

Weekday is seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI programs for enterprise clients in NYC. You will drive multi-disciplinary teams and align stakeholders to deliver production-ready AI solutions.

The ideal candidate has 10–15 years of delivery/program management experience, a proven track record with large-scale programs, and hands-on exposure to AI/ML projects.

Qualifications

  • 10–15 years of delivery/program management experience.
  • Proven track record delivering large-scale enterprise programs.
  • Hands-on exposure to AI/ML/GenAI projects.
  • Global delivery models and stakeholder management.
  • Background in data platforms or large-scale enterprise systems preferred.

Responsibilities

  • Lead end-to-end delivery of AI/ML and GenAI programs from ideation to production deployment.
  • Manage multiple AI initiatives including: LLM applications, data science and ML model deployment, AI-driven automation.
  • Act as trusted advisor to enterprise clients and define AI strategy and roadmap with senior stakeholders.
  • Establish delivery governance, KPIs and reporting; ensure Agile practices.

Skills

Delivery leadership
Stakeholder management
Program governance
Agile / Scrum
Cloud platforms

Tools

LangChain
LlamaIndex
OpenAI

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 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

Key Responsibilities

AI Program Delivery

  • 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

Client & Stakeholder Management

  • 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

Delivery & Program Management

  • 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

AI & Technology Leadership

  • 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

Transformation & Innovation

  • Lead AI-led digital transformation initiatives
  • Identify opportunities to:
    • Automate legacy systems
    • Improve efficiency using AI
    • Reduce operational costs via intelligent solutions

Required Qualifications

  • 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
    • Stakeholder management
    • Budget and portfolio ownership
  • Background in data platforms or large-scale enterprise systems is highly preferred
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

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