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Ai Project Management Jobs in Minnesota (NOW HIRING)

Luxoft

Senior IT Risk Project Manager

Minneapolis, MN · On-site

$136K - $137K/yr

Core project management: - 7+ years of professional experience in software development projects and ... AI governance and regulation (EU AI Act, NIST AI RMF) and how it lands on delivery teams ...

Trilyon, Inc.

Senior Project Manager

Saint Paul, MN · On-site

... AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top ... The ideal candidate will have experience in project and program management, stakeholder engagement ...

Old Republic

Senior Project Manager

Minnetonka, MN · On-site

Project intake and initation management, including coordinating with associated teams and ... Proficient in Microsoft Office Suite, Prism, Outlook, Microsoft Project, Azure DevOps, Agentic AI ...

Old Republic

Senior Project Manager

Minnetonka, MN · On-site

Project intake and initation management, including coordinating with associated teams and ... Proficient in Microsoft Office Suite, Prism, Outlook, Microsoft Project, Azure DevOps, Agentic AI ...

Old Republic

Senior Project Manager

Minnetonka, MN · On-site

Project intake and initation management, including coordinating with associated teams and ... Proficient in Microsoft Office Suite, Prism, Outlook, Microsoft Project, Azure DevOps, Agentic AI ...

Colle Mcvoy

Senior Project Manager

Minneapolis, MN · On-site

Integrate and advocate for emerging AI technologies to drive automation, innovation, and operational excellence within project management workflows. * Mentor peers and junior team members in best ...

UNAVAILABLE

Senior Project Manager

Minneapolis, MN · On-site

$80 - $100/hr

Integrate and advocate for emerging AI technologies to drive automation, innovation, and operational excellence within project management workflows. * Mentor peers and junior team members in best ...

Luxoft

Senior IT Risk Project Manager

Minneapolis, MN · On-site

$125 - $150/hr

Team Management * Self-management SKILLS Must have * Core project management:- 7+ years of ... Understanding of AI/GenAI risk: model and data governance, AI risk scans and assessments, prompt ...

Cummins

Senior Sales Project Manager

Saint Paul, MN · On-site

Strong project management expertise with the ability to drive execution, manage resources, control ... Strong proficiency with AI tools and technologies, with the ability to leverage AI to improve ...

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All JobsAi Project Management JobsAi Project Management Jobs in Minnesota

Ai Project Management information

See Minnesota salary details

$37.7K

$100.6K

$158.7K

How much do ai project management jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai project management in Minnesota is $100,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $120,500.00 per year, depending on experience, location, and employer.

What is AI project management?

An AI Project Management job involves overseeing projects that develop and implement artificial intelligence solutions. AI project managers coordinate teams, manage timelines, ensure resource allocation, and address risks to deliver AI-driven initiatives successfully. They work closely with data scientists, engineers, and business stakeholders to align AI projects with company goals. Strong technical knowledge, leadership skills, and an understanding of AI methodologies are essential for success in this role.

What are some typical challenges faced by AI project managers, and how can they be addressed?

AI Project Managers often encounter challenges such as managing interdisciplinary teams, aligning project goals with rapidly evolving technologies, and ensuring ethical and compliant deployment of AI solutions. Handling shifting priorities, budget constraints, and complex data requirements can also be demanding. Successful AI Project Managers address these challenges by promoting clear communication, establishing realistic timelines, maintaining flexibility, and staying up to date on industry best practices. Collaboration with data scientists, engineers, and business stakeholders is key to proactively identifying and mitigating risks while delivering project goals. Regular training and an openness to learning also help in navigating the unique complexities of AI-driven projects.

What are the key skills and qualifications needed to thrive in AI project management, and why are they important?

To thrive in AI Project Management, you need a solid background in project management principles, a strong understanding of artificial intelligence concepts, and preferably a degree in computer science, engineering, or a related field. Familiarity with tools like Jira, Asana, or Microsoft Project and certifications such as PMP or Agile are commonly required, along with experience in AI platforms and data analytics systems. Excellent communication, leadership, and problem-solving abilities set top candidates apart, as does the capacity to bridge technical and business teams. These skills are critical to ensure projects stay on track, meet stakeholder expectations, and deliver effective AI solutions.

How do I become an AI project manager?

To become an AI project manager, you typically need a background in project management, often with a certification like PMP or Agile. Knowledge of artificial intelligence concepts, data science, and experience managing technical teams are also important. Developing skills in communication, leadership, and familiarity with AI tools and frameworks can enhance your qualifications.

How much does an AI project manager make?

An AI project manager's salary typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI tools and methodologies can earn higher compensation, often exceeding $150,000.

Is project management a good career even with AI?

Project management remains a valuable career as AI tools can automate routine tasks but do not replace the need for human oversight, leadership, and decision-making. Skills in communication, risk management, and familiarity with project management software like MS Project or Jira are essential, and continuous learning is important to adapt to technological changes.

What are the most commonly searched types of Ai Project Management jobs in Minnesota?

The most popular types of Ai Project Management jobs in Minnesota are:

What are popular job titles related to Ai Project Management jobs in Minnesota?

For Ai Project Management jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ai Project Management jobs in Minnesota look for?

The top searched job categories for Ai Project Management jobs in Minnesota are:

What cities in Minnesota are hiring for Ai Project Management jobs?

Cities in Minnesota with the most Ai Project Management job openings:

Ai Project Management jobs near you
Infographic showing various Ai Project Management job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $100,568 per year, or $48.4 per hour.

Senior IT Risk Project Manager

Luxoft

Minneapolis, MN • On-site

$136K - $137K/yr

Other

Posted 15 days ago

Job description

🚀 Senior IT Risk Project Manager | Financial Services & Technology


Modernization as a Service (MaaS) is a cross-functional practice that supports all business verticals within the company.


We are seeking a Senior IT Risk Project Manager to join our project for a leading US financial institution.


Responsibilities:

- Ensure successful delivery of projects

- Achieve financial targets

- Manage stakeholders' expectations

- Drive presales & business development activities

- People management activities

- Project manager activities:

1. Pre-sale

2. Contracting

3. Project start

4. Project Planning and Execution

5. Team Management

6. Self-management


Mandatory Skills Description:

Core project management:

- 7+ years of professional experience in software development projects and management

- 5+ years of experience in large scale Project/Program management

- Proven track record in complex projects with global, distributed teams

- People management experience for 20+ FTEs

- Good understanding of program financials and reporting

- Good understanding of project manager areas of responsibility:

Project Planning

Backlog prioritization, detailing and decomposition

Understanding of SDLC and ability to build/optimize project processes

Communication with the team, client

Understanding of motivation factors

Team Management

Result-oriented

Working with feedback: provide and receive


Risk management:

- Demonstrable experience running IT risk, security, or compliance-driven programmes - not only feature delivery

- Ability to build and maintain a risk register: identification, qualification, scoring, mitigation planning, ownership assignment, and escalation

- Experience coordinating remediation programmes across multiple engineering teams (patching, vulnerability closure, control implementation) and tracking them to measurable closure

- Comfortable operating with audit, InfoSec, and compliance stakeholders; experience preparing evidence and status for governance forums or steering committees

- Working knowledge of at least one control or risk framework (NIST CSF/RMF, ISO 27001, CIS Controls, SOC 2, or similar)

- Ability to translate technical findings into business impact and risk-based prioritization for senior stakeholders


Soft skills and education:

- Verbal and written business communication skills

- Presentation skills, including to executive and risk-committee audiences

- Negotiation skills

- Master's Degree in computer science or similar education

- Certification advantage: PMP / PRINCE2 / SAFe, plus one of CISSP, CISM, CRISC, or CISA


Nice-to-Have Skills Description:

- Familiarity with security vulnerability management: CVE/CVSS, severity triage, SLA-based remediation cycles

- Exposure to penetration testing engagements - scoping, vendor coordination, findings review, retest tracking

- Understanding of AI/GenAI risk: model and data governance, AI risk scans and assessments, prompt injection and data leakage exposure, third-party AI tooling review

- Awareness of emerging AI governance and regulation (EU AI Act, NIST AI RMF) and how it lands on delivery teams

- Understanding of secure SDLC practices: SAST/DAST/SCA, dependency and supply chain risk, threat modelling


📩 Apply now and take the next step in your project management career.

Apply