1

Ai Delivery Manager Jobs (NOW HIRING)

The role also supports AI-enabled delivery practices, including automation and agentic AI development workflows. Key Responsibilities Kanban Flow Management * Own daily Kanban board health for ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

Position Overview Director, AI Delivery Transformation ProSearch is seeking a strategic and results ... Lead AI enablement, training, and change management efforts across the organization. * Advise ...

You're probably hearing how AI is going to change the world everywhere you look. However, despite ... Management consulting background (MBB, Big 4, or strong boutique) who left to build and deliver ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

Delivery Manager

San Francisco, CA · On-site

$120 - $160/hr

You're probably hearing how AI is going to change the world everywhere you look. However, despite ... Management consulting background (MBB, Big 4, or strong boutique) who left to build and deliver ...

You're probably hearing how AI is going to change the world everywhere you look. However, despite ... Management consulting background (MBB, Big 4, or strong boutique) who left to build and deliver ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

Director of AI Delivery

Chicago, IL · On-site

$218K/yr

The Director of AI Delivery will partner closely with executive leadership, functional leaders, and ... Drive change management and enterprise adoption initiatives to maximize AI utilization across the ...

The Director of AI Delivery will partner closely with executive leadership, functional leaders, and ... Drive change management and enterprise adoption initiatives to maximize AI utilization across the ...

This is not a management role. You will be hands-on: building AI-powered applications and solutions ... Own client delivery end-to-end. Lead engagements from problem definition through production ...

This is not a management role. You will be hands-on: building AI-powered applications and solutions ... Own client delivery end-to-end. Lead engagements from problem definition through production ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

Director of AI Delivery

Chicago, IL · On-site

$180 - $240/hr

The Director of AI Delivery will partner closely with executive leadership, functional leaders, and ... Drive change management and enterprise adoption initiatives to maximize AI utilization across the ...

The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value ...

NY · On-site

$120 - $160/hr

Position Summary Senior Manager, Agentic AI Delivery will be a critical leader within Ascensus' Transformation team, accountable for end-to-end delivery of an enterprise portfolio of agentic AI ...

New

Showing results 41-60

Ai Delivery Manager information

See salary details

$31K

$83.2K

$167.5K

How much do ai delivery manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai delivery manager in the United States is $83,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Delivery Manager vs Data Scientist?

AspectAi Delivery ManagerData Scientist
Required CredentialsProject management certifications, technical knowledge of AI toolsAdvanced degree in data science, statistics, or related field
Work EnvironmentCollaborates with cross-functional teams to deliver AI solutionsAnalyzes data, builds models, and interprets results
Employer & Industry UsageTech companies, AI service providers, enterprises implementing AI projectsResearch institutions, tech firms, analytics departments

The Ai Delivery Manager focuses on overseeing AI project delivery, coordinating teams, and ensuring timely implementation. In contrast, a Data Scientist primarily analyzes data, develops models, and provides insights. While both roles require technical knowledge of AI, the Ai Delivery Manager emphasizes project management and delivery, whereas the Data Scientist emphasizes data analysis and modeling.

More about Ai Delivery Manager jobs

What cities are hiring for Ai Delivery Manager jobs?

Cities with the most Ai Delivery Manager job openings:

What states have the most Ai Delivery Manager jobs?

States with the most job openings for Ai Delivery Manager jobs include:

Infographic showing various Ai Delivery Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $83,240 per year, or $40 per hour.

AI Project / Delivery Manager

Staff Financial Group

Atlanta, GA • Hybrid

$135K - $175K/yr

Full-time

Re-posted 10 days ago


Job description

AI Project / Delivery Manager - Atlanta, GA (Hybrid)

About the Role

We are seeking an experienced AI Project / Delivery Manager to lead the planning, execution, and successful delivery of artificial intelligence and machine learning initiatives across the enterprise.

This role bridges the gap between technical implementation and business impact—ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. The ideal candidate combines strong project management skills, a working knowledge of AI/ML concepts, and the ability to communicate effectively across technical and non-technical teams.

Key Responsibilities

  • Project Ownership: Oversee the full lifecycle of AI projects—from initiation and business case development through deployment and post-implementation review.
  • Cross-Functional Leadership: Partner with Data Science, Engineering, Product, and Business Units to define scope, success criteria, and resource requirements.
  • Delivery Management: Lead agile delivery processes, manage sprint planning, backlogs, and daily standups for AI teams.
  • Stakeholder Communication: Translate complex technical topics (LLMs, MLOps, NLP, computer vision) into clear business value and deliver progress updates to executives.
  • Risk & Quality Management: Identify and mitigate delivery risks related to data, security, or performance. Ensure adherence to DevSecOps, governance, and compliance standards.
  • Vendor & Platform Coordination: Manage third-party AI vendors, SaaS integrations (e.g., AWS SageMaker, Azure AI, OpenAI, or Vertex AI), and platform implementations.
  • Metrics & Reporting: Establish KPIs to track model adoption, ROI, and delivery efficiency.
  • Change Enablement: Support user adoption and training programs for AI-powered tools across departments.

Required Qualifications

  • 5+ years of experience managing software, data, or AI-related projects.
  • Proven experience leading Agile or Scrum delivery teams in a technical environment.
  • Strong understanding of AI/ML fundamentals and lifecycle management (data prep, model training, deployment).
  • Familiarity with cloud AI ecosystems (AWS SageMaker, Azure AI, or Google Vertex AI).
  • Experience working with DevOps or MLOps frameworks.
  • Demonstrated ability to manage multiple concurrent initiatives in complex enterprise environments.
  • Excellent communication, stakeholder management, and executive presentation skills.