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Generative Ai Project Manager Jobs in Rochester, MN

... customer project. In this role, you'll apply your expertise to help train next-generation AI ... Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and ...

... customer project. In this role, you'll apply your expertise to help train next-generation AI ... Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and ...

You'll work directly with a Senior Product Manager and own specific deliverables end-to-end ... AI isn't a side project here - it's core to how we build. You'll use AI tools daily to move faster ...

You'll work directly with a Senior Product Manager and own specific deliverables end-to-end ... AI isn't a side project here - it's core to how we build. You'll use AI tools daily to move faster ...

Showing results 21-40

Generative Ai Project Manager information

See Rochester, MN salary details

$39.1K

$104.4K

$164.7K

How much do generative ai project manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for generative ai project manager in Rochester, MN is $104,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $125,000.00 per year, depending on experience, location, and employer.

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.

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 are popular job titles related to Generative Ai Project Manager jobs in Rochester, MN?

For Generative Ai Project Manager jobs in Rochester, MN, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Rochester, MN look for?

The top searched job categories for Generative Ai Project Manager jobs in Rochester, MN are:

Infographic showing various Generative Ai Project Manager job openings in Rochester, MN as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $104,375 per year, or $50.2 per hour.

Manager- Artificial Intelligence DLMP

Mayo Foundation for Medical Education and Research

Rochester, MN • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago


Key responsibilities

  • Lead the development and management of AI systems and projects across the healthcare enterprise.

  • Oversee the AI lifecycle from ideation through deployment, commercialization, and ongoing operations.

  • Manage departmental resources, recruit and develop staff, and coordinate with practice and business leaders to support AI strategies and initiatives.


Mayo Foundation rating

8.6

Company rating: 8.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical:Multiple plan options.
  • Dental:Delta Dental or reimbursement account for flexible coverage.
  • Vision:Affordable plan with national network.
  • Pre-Tax Savings:HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Responsibilities

The incumbent to the position possesses strong product management skills and leads large teams using agile processes and a people empowering style. The incumbent has a broad understanding of the potential of AI and a deep appreciation of the challenges of implementing AI in a healthcare environment. The AI Manager works closely with practice and business leaders across the enterprise to support an end-to-end AI lifecycle from ideation through deployment/commercialization and ongoing product operations. The incumbent will apply their knowledge of AI to solving real-world healthcare problems and finding opportunities for improvement across multiple projects, teams and business units. Responsibilities: Develops and fosters Dept/Specialty Council AI strategies, goals, and objectives with practice and business leaders. Provides leadership in the design, selection, and application of AI systems and development tools. Oversees and manages a portfolio of AI and IT systems projects. Provides executive oversight of the departmental Quality Management Systems and FDA Software as a Medical Device submission, 510-K clearance, and pre-market approval processes. Develops and maintains internal and external client/vendor/peer relationships including contract and agreement negotiations. Identifies and reports philanthropic opportunities to the Office of Development related to AI. Assists and actively engages in the project planning teams and assures coordination or requirements gathering, planning, contracting, execution, acceptance, and ongoing support. Manages the departmental resources required and engaged in all phases of AI development. Recruits, trains, develops and manages data science, informatics, education, quality assurance and other AI allied health staff and professionals. Directs and sustains AI system lifecycle management and prioritizes new initiatives with practice leadership. Serves as leader and/or member of departmental and institutional committees. Forecasts future resource demands related to people, technology, budget and business and design needs. Implement solutions to meet these needs based on strategic plan, portfolio priorities and lifecycle management. Responsible for the AI systems operating expense budget and annual planning. Directs the development of business analytics and informatics tools for measuring, monitoring, and reporting product, program, financial, and AI systems performance and reliability. Leads day-to-day enterprise level activities required to operationalize and commercialize AI by working directly with product owners, informaticists, data scientists, IT, vendors and quality and regulatory teams. Designs, builds, and supports the technical, administrative, and operational processes required to guide stakeholders from idea through commercialization and/or post-implementation support.

We require a two year commitment to this role

This position is not eligible for visa sponsorship. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program

Qualifications

Master’s Degree in a domain-relevant field such as business or healthcare administration, product management, bioinformatics, clinical informatics, biomedical engineering, computer science, or data science and 4 years' experience working with Artificial Intelligence products, processes and/or tools. A bachelor's degree with a combination of directly-related experience and/or education may be considered. Two years' experience in line management of staff and contractors, ideally using agile development processes. Two years' experience with healthcare data, software implementation process, and regulatory compliance.

Additional Qualifications:

AI algorithm development experience is a plus. Strong preference for candidates with healthcare AI implementation experience. Strong preference for experience implementing new enterprise process solutions. Experience with OKRs (Objectives and Key Results tools) and delivering on them within scheduled time frame. Experience developing collaborative relationships and partnerships with business and technology departments that drive business results, including the ability to translate between technical and non-technical audiences. Understanding of digital practice and electronic health records and experience delivering well integrated, effective product on a regular cadence. Ability to translate business requirements into technical plans in order to analyze data, interpret results and recommend solutions to enable teams to make decisions around optimizing or understanding product investments. Strong problem solving, quantitative and analytical abilities. Strong ability to initiate and drive projects with tenacity to deliver results in a complex environment and to manage numerous processes, people and projects simultaneously.Excellent communication skills to effectively deliver presentations as well as communicate clearly and concisely in writing.

Exemption Status

Exempt

Compensation Detail

$129,209 - $193,856/ year

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

M-F Day shift

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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