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Ai Project Management Jobs in Wisconsin (NOW HIRING)

Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes "the way we work." * Make value visible and auditable. Track and report ...

Product Project Management

Milwaukee, WI · On-site

$85K - $100K/yr

You will play a critical role in bridging the gap between business stakeholders and the AI team ... Identify and manage project risks and dependencies, proactively addressing any issues that may ...

Comfort using AI-enabled productivity tools, with the judgment to spot limitations or errors in ... Ideally, our Project Management interns work 40 hours per week; however, we recognize that class ...

Comfort using AI-enabled productivity tools, with the judgment to spot limitations or errors in ... Ideally, our Project Management interns work 40 hours per week; however, we recognize that class ...

PMO/Program Manager

Janesville, WI · On-site

$81 - $110/hr

As PMO/Program Manager, you are responsible for maintaining oversight of our project portfolio and ... Affinity with AI applications and digital technologies that improve efficiency and reporting.

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As electricity demand accelerates-driven by AI, electrification and grid constraints-INNIO enables ... You will serve as the on-site program management representative, maintaining a detailed and current ...

As electricity demand accelerates--driven by AI, electrification and grid constraints--INNIO ... You will serve as the on‑site program management representative, maintaining a detailed and ...

As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables ... You will serve as the on-site program management representative, maintaining a detailed and current ...

As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables ... You will serve as the on-site program management representative, maintaining a detailed and current ...

As electricity demand accelerates-driven by AI, electrification and grid constraints-INNIO enables ... You will serve as the on-site program management representative, maintaining a detailed and current ...

Project Manager

Brookfield, WI · Hybrid

$45 - $55/hr

Qualifications 8+ years of project management experience within technology, financial services ... Please contact AI.Questions@lrs.com with any questions.

Project Manager

Waukesha, WI · On-site

$65 - $90/hr

The ideal candidate is AI and tech savvy, skilled in agile project management practices and tools, and committed to advancing KW's mission and Christ-centered culture. * This means weregularly ...

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Showing results 1-20

Ai Project Management information

See Wisconsin salary details

$38.9K

$103.6K

$163.5K

How much do ai project management jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai project management in Wisconsin is $103,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $124,200.00 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 Wisconsin?

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

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

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

Infographic showing various Ai Project Management job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $103,642 per year, or $49.8 per hour.

Full-time

Re-posted 12 days ago


Job description

My client is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining  and supporting all corporate policies, procedures, work instructions, and required documentation.
 
What You’ll Do
Opportunity Discovery 
  • Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
  • Build simple business cases with the respective departments; baseline current performance, and quantify benefits
Program Management 
  • Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
  • Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
  • Run stage-gated delivery (scope → pilot → scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
  • Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap. 
Delivery
  • Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business. 
  • Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes “the way we work.”
  • Make value visible and auditable.  Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
  • Share AI knowledge to upskill the organization.  Coach stakeholders to see AI use cases in the processes.
Governance 
  • Partner with Legal/HR on data privacy and AI use policies.
  • Ensure solutions comply with IT corporate cybersecurity and risk guidelines.
Success in this role will require:
  • Collaboration & Communication
  • Adaptability
  • Problem Solving
  • Analytical Thinking
  • Business Acumen
What You'll Bring
  • Bachelor’s degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
  • 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance. 
  • Mastery of program management (business cases, roadmaps, stage gates, financials).
  • Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.
Preferred Qualifications
  • Background manufacturing or associated environments.
  • Lean / Six Sigma certification; experience embedding AI within continuous improvement programs. 
  • Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)