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Ai Manager Jobs in Minnesota (NOW HIRING)

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

Finance Data and AI Manager

Minneapolis, MN ยท On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Finance Management Level Manager & Summary The Opportunity As a Finance Data and AI Manager, you will play a pivotal role within our Finance practice ...

AI Product Manager Location: Chanhassen, MN (Hybrid - Onsite & Remote) Type: Contract | Full-Time Hours About the Role We're looking for an AI Product Manager to lead the strategy and execution of AI ...

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Ai Manager information

See Minnesota salary details

$23.3K

$100.2K

$189K

How much do ai manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai manager in Minnesota is $100,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,439.00 and $138,455.00 per year, depending on experience, location, and employer.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

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

The most popular types of Ai jobs in Minnesota are:

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

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

What cities in Minnesota are hiring for Ai Manager jobs?

Cities in Minnesota with the most Ai Manager job openings:

Infographic showing various Ai Manager job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $100,249 per year, or $48.2 per hour.

Business Systems & AI Manager

Career Opportunities | Minnesota JCC

Saint Paul, MN โ€ข On-site

Full-time

Re-posted 15 days ago


Job description

Position Summary

The Business Systems & AI Manager serves as the organization's internal expert on enterprise technology systems, data, and emerging AI capabilities. Reporting to the Chief Financial and Administrative Officer, this position is responsible for understanding how the Minnesota JCC's software platforms function individually and collectively, ensuring they are optimized, integrated, and aligned with organizational priorities.

This individual will lead the organization's digital innovation and AI strategy, helping departmentsleveragetechnology responsibly to improve efficiency, decision-making, andthe employeeexperience. The Business Systems & AI Manager will also champion data accessibility and reporting, empowering staff across the organization to make informed decisions through meaningful analysis.

Success in this role requires an independent thinker who enjoys solving complex problems, simplifying processes, challenging existing practices, and helping employees with varying technical abilitiesconfidently utilizetechnology. This individual will influence organizational change throughexpertise, collaboration, and thoughtful implementation rather than direct authority.

This is a newly created position designed to help the Minnesota JCC maximize the value of its technology investments while preparing the organization for the future.

Essential Functions

This job description is not intended to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee in this position. Activities, duties and responsibilities may change at any time with or without notice. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.

Enterprise Systems Leadership

  • Serve as the organization's subject matter expert for core business software platforms.
  • Develop a comprehensive understanding of system functionality, integrations, workflows, and dependencies.
  • Identify opportunities to optimize existing systems and ensure they work effectively together.
  • Evaluate current business processes and recommend improvements that increase efficiency, reduce redundancy, and improvethe employeeexperience.
  • Partner with departments to ensure technology solutions align with operational goals.

Digital Innovation and AI Strategy

  • Lead the development and implementation ofthe MinnesotaJCC's digital innovation and AI strategy.
  • Evaluate AI platforms and recommend organization-wide standards, governance, and best practices.
  • Identifypractical AI use cases that improve productivity, customer service, communication, and operational effectiveness.
  • Stay informed about emerging technologies and recommend innovations that enhancethe employeeand member experience.
  • Develop policies and training that support responsible, secure, and ethical use of AI.
  • Foster a culture of continuous learning and innovation by helping staff confidently adopt new digital tools and technologies.

Data and Reporting

  • Developexpertisein reporting capabilities across all major software platforms.
  • Create dashboards, reports, and analytical tools that support organizational decision-making.
  • Train and coach staff in accessing, interpreting, andutilizingdata effectively.
  • Partner with leadership toidentifykey performance indicators and reporting needs.
  • Support leaders in transforming data into actionable insights that improve operations and strategic planning.

Training and Change Management

  • Design and deliver technology training for employees with diverse learning styles and varying levels of technicalproficiency.
  • Create user-friendly documentation and learning resources.
  • Serve as a trusted resource for departments implementingnew technologyor workflows.
  • Promoteadoptionof new tools through education, coaching, and ongoing support.
  • Build confidence in technology across the organization by making systems more approachable and accessible.

Technology Improvement

  • Continuously assess the organization's technology ecosystem.
  • Recommend technologies or process improvements that simplify work andeliminateunnecessary complexity.
  • Identifysystems, processes, or practices that should be streamlined,consolidated, ordiscontinuedto improve organizational effectiveness.
  • Collaborate with vendors and internal stakeholders to maximize technology investments.
  • Develop recommendations that improve system integration, reduce manual work, and increase organizational efficiency.