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Generative Ai Project Manager Jobs in Illinois (NOW HIRING)

Manage end-to-end delivery of multiple AI-related projects and initiatives * Develop and maintain project plans, timelines, and resource allocations * Coordinate cross-functional teams including ...

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

The ideal candidate will possess a strong background in both Generative AI and traditional Machine ... This role is crucial for migrating and enhancing AI-driven projects, leveraging Large Language ...

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

Configure and manage AWS Config and governance policies to ensure security and compliance. * Design ... Mentor engineering teams on AWS and Generative AI technologies. Required Skills * 12-16 years of ...

Position Overview We are seeking an experienced Project Manager to drive the successful delivery of ... Strong understanding of AI/ML lifecycle, Generative AI, Agentic AI, and enterprise AI governance.

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... your hand at new projects and being the active owner of your career path is encouraged and ...

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... your hand at new projects and being the active owner of your career path is encouraged and ...

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Generative Ai Project Manager information

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

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

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
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Infographic showing various Generative Ai Project Manager job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

AI Project Manager

Spruce Infotech

Lincolnshire, IL • On-site

Contractor

Re-posted 9 days ago


Job description

This role will lead the planning, coordination, and execution of a portfolio of AI-driven initiatives, including internal applications, automation solutions, and agent-based tools. The ideal candidate brings a strong background in project delivery along with the ability to operate in a fast-paced, evolving AI environment. This individual will work across technical and business teams to ensure projects are properly scoped, prioritized, and delivered successfully.
Key Responsibilities
  • Manage end-to-end delivery of multiple AI-related projects and initiatives
  • Develop and maintain project plans, timelines, and resource allocations
  • Coordinate cross-functional teams including engineering, data, and business stakeholders
  • Facilitate Agile ceremonies and track progress across initiatives
  • Identify and manage risks, dependencies, and blockers to ensure timely delivery
  • Maintain documentation including requirements, plans, and status reporting
  • Communicate project status and key updates to stakeholders and leadership
  • Support prioritization and alignment across competing initiatives

Required Skills & Experience
  • 6+ years of experience in IT project or program management
  • Experience managing multiple concurrent projects in fast-paced environments
  • Familiarity with AI/ML concepts and data-driven applications
  • Experience with Agile methodologies and tools (e.g., Jira, Azure DevOps)
  • Strong communication and stakeholder management skills
  • Ability to translate technical concepts into business-friendly language

Preferred Skills & Experience
  • Experience supporting AI, data, or analytics initiatives
  • Familiarity with cloud platforms and modern application architectures
  • Experience working with cross-functional and/or vendor-supported teams
  • Relevant certifications (PMP, Scrum, etc.)