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Manager Ai Project Management Jobs (NOW HIRING)

IT Project Manager, AI

Charlotte, NC ยท On-site

$96K - $113K/yr

Provide AI project management expertise, guiding teams through emerging technologies and best practices. * Champion an AI mindset across projects-leveraging data-driven insights, automation ...

IT Project Manager, AI

Charlotte, NC ยท On-site

$96K - $113K/yr

Provide AI project management expertise, guiding teams through emerging technologies and best practices. * Champion an AI mindset across projects-leveraging data-driven insights, automation ...

Change Management & End-User Adoption * Stakeholder & Executive Communication * Data & AI ... Managed end-to-end project lifecycle : requirements, architecture alignment, sprint execution ...

Change Management & End-User Adoption * Stakeholder & Executive Communication * Data & AI ... Managed end-to-end project lifecycle : requirements, architecture alignment, sprint execution ...

On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ... Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots ...

Change Management & End-User Adoption * Stakeholder & Executive Communication * Data & AI ... Managed end-to-end project lifecycle : requirements, architecture alignment, sprint execution ...

The Manager, Project Management is a strategic leader responsible for overseeing a portfolio of ... The role also champions the use of AI-enabled tools and data-driven practices to enhance planning ...

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Manager Ai Project Management information

See salary details

$37.5K

$103K

$166K

How much do manager ai project management jobs pay per year?

As of Jul 1, 2026, the average yearly pay for manager ai project management in the United States is $103,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Project Management vs Data Scientist?

AspectManager Ai Project ManagementData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Project Management certifications often preferredBachelor's or higher in Data Science, Statistics, or related; often requires advanced degrees
Work EnvironmentLeads AI projects, coordinates teams, manages timelinesAnalyzes data, develops models, interprets results
Industry UsageUsed across tech, finance, healthcare for AI project oversightCommon in research, tech, and analytics roles

The main difference is that Manager Ai Project Management focuses on overseeing AI projects and coordinating teams, while Data Scientists primarily analyze data and develop models. Both roles require technical knowledge, but their responsibilities and daily tasks differ significantly.

Will AI take project manager jobs?

AI project management tools can automate routine tasks such as scheduling, data analysis, and reporting, but the role of a project manager involves leadership, decision-making, and stakeholder communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace project managers, who will need skills in managing AI tools and interpreting data. The demand for project managers remains strong, especially in complex projects requiring human judgment and coordination.

How much do AI project managers get paid?

AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI tools and methodologies can command higher salaries, often exceeding $160,000.

What does an AI project manager do?

An AI project manager oversees the planning, execution, and delivery of artificial intelligence projects, coordinating teams of data scientists, engineers, and stakeholders. They manage project timelines, budgets, and resources, ensuring AI solutions meet business objectives and technical requirements, often using project management tools and methodologies like Agile or Scrum.
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What cities are hiring for Manager Ai Project Management jobs? Cities with the most Manager Ai Project Management job openings:
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Infographic showing various Manager Ai Project Management job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $103,024 per year, or $49.5 per hour.

Program Manager (AI)

Joint Technology Solution, Inc.

Silver Spring, MD โ€ข On-site

Full-time

Posted 28 days ago


Job description

We are seeking an experienced Program Manager III to support the National Weather Service (NWS) Artificial Intelligence (AI) Program. The successful candidate will provide strategic program management, policy support, stakeholder coordination, and executive-level communications to advance AI and Machine Learning (AI/ML) initiatives across NWS and the broader National Oceanic and Atmospheric Administration (NOAA).

This role requires a highly organized professional with experience managing complex, cross-functional programs involving federal stakeholders, scientific organizations, research communities, and technology teams. The individual will serve as a key advisor supporting AI strategy development, policy implementation, governance activities, and enterprise-wide collaboration efforts.

Duties:
User Needs and Project Management

  • Translates complex business challenges and user feedback into actionable technical requirements for AI-driven solutions.
  • Oversees the lifecycle of AI initiatives from a technical perspective by prioritizing features that maximize organizational value while managing resource constraints and risks.
  • Coordinates between cross-functional teams to ensure that project milestones meet both technical benchmarks and user expectations.

Technical Consultation

  • Provides expert guidance to development teams on AI architectural design, model selection, and the implementation of best practices, including testing and maintenance.
  • Conducts rigorous technical reviews of proposed and ongoing AI projects to assess feasibility, security, performance standards, and risk.
  • Identifies potential technical bottlenecks and ethical considerations in AI workflows and recommends proactive solutions to timely and responsible delivery.

Technical Development

  • Leads the end-to-end development of AI projects for NWS enterprise priorities that do not have a development team, ensuring they are built for production-grade reliability and scalability.
  • Supports the development of proof-of-concepts to test emerging AI technologies and their potential application within the enterprise.

Communications

  • Distills sophisticated AI concepts and model performance metrics into clear, non-technical insights for executive leadership and stakeholders.
  • Facilitates dialogue between developers, data scientists, engineers, and product owners to maintain clarity on project goals and ensure continuous feedback.
  • Supports the communication of current NWS AI capabilities as well as future AI opportunities, presenting technical progress, strategic wins, and possibilities in formal reports and briefings.

Required Qualifications:

  • Master's degree in Business Administration, Public Administration, Project Management, Science, Engineering, Data Science, Artificial Intelligence, or a related field.
  • Minimum 12 years of professional experience, including at least 5 years of program or project management experience supporting complex initiatives.
  • Demonstrated experience managing multi-stakeholder projects involving government, research, technical, or scientific organizations.
  • Experience supporting executive leadership through strategic planning, communications, and stakeholder engagement.
  • Strong written and verbal communication skills, including preparation of executive briefings, reports, and presentations.
  • Proficiency with Microsoft Office Suite and Google Workspace.
  • Ability to manage multiple priorities in a fast-paced, collaborative environment.
  • Experience supporting federal agencies, particularly NOAA, NWS, or other scientific and research organizations.
  • Knowledge of Artificial Intelligence, Machine Learning, Data Science, or emerging technology programs.

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