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Ai Ml Project Manager Jobs in Rochester, MN (NOW HIRING)

Mayo Clinic

Senior Data Science Analyst - DLMP

Rochester, MN · On-site

$78K - $99K/yr

Emphasize clinical translation of AI/ML solutions, moving beyond data analysis and predictive ... Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate ...

Mayo Clinic

Senior Data Science Analyst - DLMP

Rochester, MN · On-site

$87K - $110K/yr

Emphasize clinical translation of AI/ML solutions, moving beyond data analysis and predictive ... Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate ...

DataAnnotation

FP&A Manager - AI Trainer

Rochester, MN · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

micro1 AI

Medical Writing Manager

Rochester, MN · Remote

$50 - $80/hr

... customer's project focused on developing advanced AI-assisted writing tools for clinical ... and appendix management. * Evaluate scientific accuracy in narrative sections such as efficacy ...

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Ai Ml Project Manager information

See Rochester, MN salary details

$39.1K

$104.4K

$164.7K

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

As of Aug 20, 2026, the average yearly pay for ai ml 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 is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

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

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

How much do AI ML project managers make?

AI ML project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data science, cloud platforms, or certifications can command higher salaries. Compensation often includes bonuses and benefits aligned with project scope and organizational size.

What is the salary of AI ML project manager?

The salary of an AI ML Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data science may earn higher compensation, often including bonuses and benefits.

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

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

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

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

What cities near Rochester, MN are hiring for Ai Ml Project Manager jobs?

Cities near Rochester, MN with the most Ai Ml Project Manager job openings:

Ai Ml Project Manager jobs near you
Infographic showing various Ai Ml Project Manager job openings in Rochester, MN as of June 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $104,375 per year, or $50.2 per hour.

Principal Data & Analytics Strategist

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

127th of 889 rated healthcare providers

Job description


The Principal Data Analytics & AI Strategist is a principal-level individual contributor who serves as a technical authority and enterprise-level thought leader for data, analytics, and AI solution direction across products, platforms, and strategic problem areas. This role shapes how enterprise data, analytics and AI strategy is translated into scalable solution patterns, architectural guardrails, and delivery models that can be consistently executed across teams.
The role connects system-level technical decisions to broader enterprise data and analytics strategy, governance, and investment intent-ensuring initiatives are interoperable, governable, and positioned to deliver sustained, measurable value at scale. The Principal Data Analytics & AI Strategist operates across high ambiguity, making and documenting complex tradeoffs related to platform capabilities, data architecture, analytics and AI patterns, operating constraints, and sequencing of delivery.
Working across domains and portfolios, the Principal Data Analytics & AI Strategist influences the full solution lifecycle-from opportunity framing and options analysis through solution design guidance and delivery oversight. The role defines and socializes reference architectures, preferred patterns, and decision frameworks, supports high-risk or high-impact initiatives, and accelerates progress through hands-on exploration and prototyping where early technical validation is critical.
The Principal Data Analytics & AI Strategist partners closely with senior leaders and practitioners across data engineering, analytics/BI, AI/ML, platform, security, and governance functions to align on technical direction, surface risks and dependencies early, and enable timely, enterprise-wide decision-making-exerting influence without direct authority to drive clarity, consistency, and execution momentum.
Qualifications
  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, data science, or related field from an accredited University or College is required.
  • Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred.
  • Extensive (15-20+ years) experience in enterprise data, analytics, and/or AI strategy, architecture, consulting, product/program delivery, or related discipline.
  • Demonstrated experience defining enterprise-level strategy and translating it into executable roadmaps, capability models, and delivery guardrails across multiple portfolios.
  • Proven ability to communicate complex technical implementation concepts to executive leadership, including architecture tradeoffs, investment options, risk, and sequencing; produces clear, decision-ready materials.
  • Strong working knowledge of modern data and analytics concepts (data products, data platforms, pipelines, BI/visualization, governance, metadata, quality, privacy/security fundamentals, and observability).
  • Experience influencing across senior stakeholders and cross-functional teams (engineering, analytics, AI/ML, security, privacy, architecture, governance) to drive alignment and decisions in ambiguous environments.
  • Experience operating in regulated environments (e.g., healthcare, research, financial services), with familiarity with privacy, compliance, governance, and responsible AI expectations.
  • Demonstrated facilitation skills for executive and technical audiences (workshops, strategic reviews, governance forums) and strong written communication skills.
  • Certification in one or more major cloud platforms (Google, Azure, etc)
  • Experience establishing or evolving enterprise data operating models (e.g., data product operating model, platform governance, domain engagement, stewardship models) and measuring adoption/maturity over time.
  • Experience developing and/or governing enterprise AI strategy, including responsible AI controls, model risk management, and GenAI/agentic patterns (grounding, evaluation, monitoring).
  • Experience with cloud data platforms and modern architecture patterns (lakehouse/warehouse, streaming/eventing, semantic layers/metrics, MDM/reference data), including cost/value tradeoffs.
  • Demonstrated experience building reusable playbooks, reference architectures, templates, and standards that scale delivery across multiple teams.

The ideal candidate will have prior experience in working through large scale AI transformations for organizations including creation of vector stores, Knowledge graphs, MCP servers and getting an organization data teams AI ready.
About Us
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.

About the Team
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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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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