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Assistant Ai Project Management Jobs (NOW HIRING)

In this role, you will lead and support project management efforts for the Kaiser Permanente ... You will apply critical thinking, navigate ambiguity, and leverage AI-driven solutions to improve ...

Project Manager - AI Team

Cleveland, OH · On-site

$80K - $100K/yr

It is responsible to collaborate with and assist Expedient resources and subject matter experts to ... Project Coordination and Management * Facilitate and manage projects in an authoritative manner.

It is responsible to collaborate with and assist Expedient resources and subject matter experts to ... Project Coordination and Management * Facilitate and manage projects in an authoritative manner.

... management efficiency Design and implement automated workflows to streamline processes and improve delivery velocity Collaborate closely with leadership to provide visibility into project health ...

AI Project Manager

Irving, TX · On-site

$68.50K - $116.30K/yr

In this role, you will lead and support project management efforts for the Kaiser Permanente ... You will apply critical thinking, navigate ambiguity, and leverage AI-driven solutions to improve ...

AI Project Manager

Englewood, CO · On-site

$68.50K - $116.30K/yr

In this role, you will lead and support project management efforts for the Kaiser Permanente ... You will apply critical thinking, navigate ambiguity, and leverage AI-driven solutions to improve ...

Job Summary : Hearst is a leading global media company, and they are seeking an AI Project Manager to drive the delivery of AI-powered systems across their business units. The role involves ...

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Assistant Ai Project Management information

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$32K

$73.1K

$116.5K

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

As of May 29, 2026, the average yearly pay for assistant ai project management in the United States is $73,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $88,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Assistant AI Project Manager, you need foundational knowledge in project management methodologies, basic understanding of AI concepts, and a relevant degree such as in computer science or business. Familiarity with project management tools like Jira or Trello, and exposure to AI platforms or software (e.g., TensorFlow, Azure AI) are typically required. Strong organizational, communication, and problem-solving skills help you coordinate tasks and collaborate effectively across technical and non-technical teams. These skills and qualifications are essential for ensuring AI projects run smoothly, deadlines are met, and stakeholder expectations are managed.

How does an Assistant AI Project Manager typically collaborate with cross-functional teams during a project lifecycle?

As an Assistant AI Project Manager, you will regularly coordinate with data scientists, software engineers, business analysts, and stakeholders to ensure project milestones are met. This involves organizing meetings, tracking progress, and facilitating clear communication among team members with varying technical backgrounds. You'll also help manage project documentation and communicate updates, ensuring alignment on objectives and timelines. Effective collaboration skills are essential, as you'll serve as a bridge between technical and non-technical contributors throughout the project lifecycle.

What is an Assistant AI Project Manager?

An Assistant AI Project Manager is a professional who supports the planning, coordination, and execution of artificial intelligence projects within an organization. They work closely with project managers, data scientists, engineers, and stakeholders to ensure project milestones are met and resources are effectively allocated. Their responsibilities often include scheduling meetings, tracking progress, preparing documentation, and facilitating communication among team members. This role is essential for ensuring that AI projects run smoothly and are delivered on time and within budget.

What is the difference between Assistant Ai Project Management vs Data Analyst?

AspectAssistant Ai Project ManagementData Analyst
Required CredentialsCertifications in AI tools, project management, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI startups, project teamsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsageUsed in AI-focused projects to assist in management tasksAnalyzes data to inform business decisions
Common Search & ComparisonOften compared for roles supporting AI projectsCompared for data-driven decision roles

Assistant Ai Project Management focuses on supporting AI project teams with management tasks, requiring certifications in AI tools and project management. Data Analysts analyze data to guide business decisions, often with degrees in data science. While both roles work in tech environments, their core functions differ: one manages projects, the other interprets data.

More about Assistant Ai Project Management jobs
What cities are hiring for Assistant Ai Project Management jobs? Cities with the most Assistant Ai Project Management job openings:
What are the most commonly searched types of Ai Project Management jobs? The most popular types of Ai Project Management jobs are:
What states have the most Assistant Ai Project Management jobs? States with the most job openings for Assistant Ai Project Management jobs include:
Infographic showing various Assistant Ai Project Management job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 70% Full Time, 21% Part Time, 3% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $73,063 per year, or $35.1 per hour.
AI Project / Delivery Manager

AI Project / Delivery Manager

Staff Financial Group

Atlanta, GA • Hybrid

$135K - $175K/yr

Full-time

Posted 16 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.