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Ai Pmp Jobs (NOW HIRING)

... • PMP, PgMP, SAFe, or similar program management certifications. • Experience working with global teams and external partners/vendors. Key Success Factors • Ability to bridge technical AI ...

Preferred : • CFA, FRM, or PMP certifications are highly desirable. • Experience with machine learning products, specifically regarding 'Explainable AI' within a regulated environment. • A ...

PMP, AI, or similar certification a plus What's in it for you? * Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast-paced ...

You will operate as a hybrid Engagement Lead + delivery leader for data and AI programs ... PMP and CSM certifications are strongly preferred. #LI-DNI

PR · On-site

Azure AI Fundamentals * Microsoft Certified: Power BI Data Analyst Associate * Artificial ... Project Management Professional (PMP) * Prosci Change Management Certification * Experiencia en ...

... PMP, Agile, SAFe, etc.), PGM certification strongly preferred. • Ability to create executive ... AI / LLMs (capabilities, risks, use cases) • Understanding of data privacy, security, and ...

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How much do ai pmp jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for ai pmp in the United States is $58.84, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $68.99 per hour, depending on experience, location, and employer.

What is the salary of AI project manager?

The salary of an AI project manager typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with certifications in project management and AI tools may command higher compensation.

What are AI Project Managers (AI PMPs)?

AI Project Managers, often referred to as AI PMPs, are professionals who oversee the planning, execution, and delivery of artificial intelligence projects. They bridge the gap between technical teams and business stakeholders, ensuring that AI projects meet organizational goals, timelines, and budgets. AI PMPs are responsible for managing project risks, allocating resources, and ensuring compliance with ethical and regulatory standards specific to AI. Their role requires a blend of project management expertise and a solid understanding of AI technologies.

How do AI Project Managers (AI PMPs) typically collaborate with data scientists and engineers during project lifecycles?

AI Project Managers work closely with data scientists and engineers to ensure that project requirements are clearly defined and achievable within set timelines. They facilitate communication between stakeholders, translate business goals into technical tasks, and address roadblocks as they arise. Regular meetings, progress tracking tools, and documentation are key to maintaining alignment and transparency. This collaborative approach helps keep projects on track and ensures that deliverables meet both business and technical standards.

Is AI going to take project managers jobs?

AI can automate certain project management tasks such as scheduling, data analysis, and reporting, but it is unlikely to fully replace project managers. Human skills like leadership, stakeholder communication, and decision-making remain essential in managing complex projects. Project managers who develop skills in AI tools and data-driven decision-making will continue to be valuable in the workforce.

What jobs pay 2000 a day?

High-paying jobs that can reach $2,000 a day often include roles such as senior project managers, specialized consultants, or freelance professionals in fields like IT, finance, or engineering. These positions typically require extensive experience, advanced certifications, or specialized skills, and may involve consulting, contract work, or leadership responsibilities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI project manager or senior AI engineer, with a total compensation package including salary, bonuses, and stock options reaching or exceeding that amount. These roles often require advanced skills in machine learning, data analysis, and experience with AI tools and frameworks, and are usually found in leading tech companies or specialized AI firms.

What is the difference between Ai Pmp vs Data Scientist?

AspectAi PmpData Scientist
Required CertificationsAI certifications, PMP, project management credentialsData science certifications, Python, R, machine learning courses
Work EnvironmentProject management teams, cross-functional projects, client interactionsData analysis teams, research environments, data-driven projects
Employer & Industry UsageIT, technology, consulting firms, project-based rolesTech companies, finance, healthcare, research institutions

The Ai Pmp focuses on managing AI projects, coordinating teams, and ensuring project delivery, while Data Scientists analyze data to extract insights and develop models. Both roles often collaborate but serve different functions within tech and industry sectors.

What are the key skills and qualifications needed to thrive as an AI Project Manager (AI PMP), and why are they important?

To thrive as an AI Project Manager, you need a solid foundation in project management principles, AI concepts, and typically a PMP certification or equivalent experience. Familiarity with project management tools like Jira or Asana, and knowledge of AI development platforms such as TensorFlow or Azure AI are commonly required. Strong communication, problem-solving abilities, and stakeholder management skills help drive collaboration and project success. These skills are essential for delivering complex AI projects on time and within scope while effectively leading cross-functional teams.
More about Ai Pmp jobs
What cities are hiring for Ai Pmp jobs? Cities with the most Ai Pmp job openings:
What states have the most Ai Pmp jobs? States with the most job openings for Ai Pmp jobs include:
Infographic showing various Ai Pmp job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $122,388 per year, or $58.8 per hour.
AI Project Manager Delivery Lead

AI Project Manager Delivery Lead

Sabot Consulting

Sacramento, CA • On-site

$175/hr

Full-time

Posted 25 days ago


Job description

AI Project Manager Delivery Lead
Location: On-site Sacramento
Salary: $175-230k
Sabot Consulting is seeking an AI Delivery Lead Project Manager who will be responsible for leading end-to-end delivery of Artificial Intelligence/Machine Learning initiatives, ensuring alignment between business objectives and technical execution. This role oversees cross-functional teams, manages stakeholders, and ensures the successful implementation of AI-driven solutions.
Responsibilities:
  • Lead AI/ML project delivery from planning through deployment.
  • Manage cross-functional teams including data scientists, engineers, and business stakeholders.
  • Drive roadmap development and execution for AI initiatives.
  • Ensure compliance with governance, privacy, and security standards.
  • Monitor KPIs and delivery metrics to ensure project success.
  • Communicate progress, risks, and outcomes to executive leadership.

Must Have:
  • 7+ years of experience in project/program management.
  • 3+ years leading AI/ML or data science initiatives.
  • Experience with Agile and Scrum methodologies.
  • Strong stakeholder management and communication skills.
  • Experience in cloud platforms (AWS, Azure, or GCP).
  • Project Management Professional (PMP) certificate from the Project Management Institute (PMI).

Nice To Have:
  • Experience in public sector or government environments.
  • Certifications such as SAFe, or Scrum Master.
  • Background in data engineering or analytics.
  • Familiarity with AI governance frameworks.

About Us: Sabot Consulting is a management consulting company focused on providing technical and management consulting to IT executives and managers in strategic, operational, and project-based practice areas. Our focus on providing expert staff that have the knowledge, experience, and professionalism to engage the client at all levels is the key to our success.