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Manager Artificial Intelligence Jobs in Minnesota

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MN · On-site

$128 - $176/hr

Sr. Manager, AI Enablement The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing evolution of Ocean Spray's enterprise AI strategy. The role plays a critical part ...

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Manager Artificial Intelligence information

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$28.2K

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$193.8K

How much do manager artificial intelligence jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager artificial intelligence in Minnesota is $131,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,732.00 and $171,004.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager of artificial intelligence?

To thrive as a Manager of Artificial Intelligence, you need a strong background in computer science, machine learning, and data analytics, often supported by advanced degrees and experience in AI project leadership. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and certifications like AWS Certified Machine Learning are typically valued. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning projects with business goals. These skills ensure successful development and deployment of AI solutions that drive organizational value and innovation.

How does a manager of artificial intelligence typically collaborate with cross-functional teams within an organization?

A Manager of Artificial Intelligence frequently works alongside data scientists, engineers, product managers, and business stakeholders to align AI initiatives with organizational goals. They facilitate communication between technical and non-technical teams, ensuring that project requirements are clearly understood and that AI solutions support broader business strategies. This collaborative environment often involves regular meetings, progress updates, and joint problem-solving sessions to address challenges and optimize outcomes.

How do you become a Manager Artificial Intelligence?

To become a Manager of Artificial Intelligence, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI development, machine learning, and leadership. Earning advanced degrees such as a master's or Ph.D. and gaining experience with AI tools and frameworks like TensorFlow or PyTorch are common steps. Leadership skills and knowledge of project management are also important for overseeing AI teams and projects.

What does a manager of artificial intelligence do?

A Manager of Artificial Intelligence oversees teams and projects that develop and implement AI solutions within an organization. Their responsibilities include setting strategic goals for AI initiatives, managing budgets and timelines, coordinating with other departments, and ensuring that AI systems are aligned with business objectives. They also stay updated on the latest advancements in AI technologies and ensure ethical standards and compliance are maintained. This role requires both technical knowledge of AI and strong leadership skills to guide multidisciplinary teams.

What is the difference between Manager Artificial Intelligence vs Data Scientist?

AspectManager Artificial IntelligenceData Scientist
CredentialsMaster's or PhD in AI, Computer Science, or related fieldsMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Industry UsageUsed in organizations deploying AI solutions, tech companies, R&DUsed across industries for data analysis, predictive modeling

The main difference is that a Manager Artificial Intelligence oversees AI projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and builds models. Managers handle leadership and project management, whereas Data Scientists focus on technical analysis and model development.

What are the most commonly searched types of Artificial Intelligence jobs in Minnesota? The most popular types of Artificial Intelligence jobs in Minnesota are:
What are popular job titles related to Manager Artificial Intelligence jobs in Minnesota? For Manager Artificial Intelligence jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Manager Artificial Intelligence jobs in Minnesota look for? The top searched job categories for Manager Artificial Intelligence jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Artificial Intelligence jobs? Cities in Minnesota with the most Manager Artificial Intelligence job openings:
Manager Artificial Intelligence jobs near you
Infographic showing various Manager Artificial Intelligence 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 $131,974 per year, or $63.4 per hour.

Director, Artificial Intelligence (AI)

Ametek

Eden Prairie, MN • On-site

Full-time

Posted 20 days ago

AMETEK rating

7.5

Company rating: 7.5 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

89th of 156 rated electronics manufacturers

Job description

The Director, Artificial Intelligence (AI), will own and deliver the division's AI-driven value creation agenda. This leader is accountable for identifying, prioritizing, deploying, and scaling AI initiatives that drive measurable revenue growth, margin expansion, productivity improvement, and compliance strength.
POSITION RESPONSIBILITIES:
Financial Impact Ownership
  • Deliver defined annual AI-driven EBITDA improvement targets.
  • Build and manage a prioritized AI value portfolio aligned with division strategy.
  • Allocate AI-related investment within approved capital envelope based on ROI and risk.
  • Present AI value creation progress during division operating reviews.
  • Kill, pivot, or scale initiatives based on measurable performance thresholds.

Growth & Commercial Enablement
  • Identify AI-enabled revenue growth opportunities (pricing optimization, product differentiation, service models, installed base monetization).
  • Partner with commercial and product leaders to embed AI into customer-facing workflows.
  • Support development of AI-enabled products and digital service offerings.

Operational Margin Expansion
  • Lead deployment of AI-enabled workflow automation and process redesign across operations and SG&A.
  • Reduce cycle time, scrap, rework, inventory, and administrative inefficiencies.
  • Standardize and scale proven AI use cases across business units.
  • Ensure AI adoption translates into sustained operating discipline.

Governance, Risk & Compliance
  • Ensure all AI initiatives comply with enterprise AI governance, cybersecurity, data privacy, and regulatory standards.
  • Monitor AI solution reliability, performance, and risk exposure.
  • Serve as the division escalation point for AI-related risk and compliance matters.
  • Align divisional initiatives with broader enterprise architecture and platform strategy.

Organizational Capability & Adoption
  • Build AI literacy across division leadership, managers, and high-potential talent.
  • Translate AI concepts into practical operating behaviors for commercial, operations, and functional teams.
  • Establish adoption standards and accountability mechanisms tied to measurable outcomes.
  • Develop a network of functional AI champions within the division.
  • Embed AI-enabled decision-making into operating rhythms (forecasting, pricing reviews, production planning, customer engagement).

External Partnerships & Vendor Leverage
  • Identify and evaluate external AI technology partners aligned with divisional value priorities.
  • Structure pilots and commercial agreements to accelerate time-to-value while minimizing risk.
  • Define performance expectations and scalability requirements tied to business outcomes.
  • Rationalize vendor landscape to avoid redundant platforms and fragmented solutions.
  • Ensure third-party tools integrate with enterprise governance and architectural standards.

REQUIREMENTS:
Required Experience
  • 7+ years in business leadership, operations, product management, analytics, or technology-enabled transformation
  • Demonstrated ownership of financial outcomes (revenue growth, cost reduction, margin expansion)
  • Experience prioritizing investments and managing tradeoffs under capital constraints
  • Proven ability to lead cross-functional initiatives and influence senior stakeholders
  • Working knowledge of AI, advanced analytics, and modern digital platforms

Preferred
  • Experience deploying AI or advanced analytics solutions in an enterprise setting
  • Experience working with external technology vendors and negotiating commercial terms
  • Exposure to industrial, manufacturing, or engineered product environments
  • Experience operating within enterprise governance frameworks.

Compensation
Employee Type: Salaried
Currency: USD
Salary Minimum: 120,000
Salary Maximum: 160,000
Incentive: Yes
Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.
For more information on AMETEK's competitive benefits, please click here.
AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.
AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers' most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500. Visit https://www.ametek.com/careers for more information.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1 (866) 263-8359.

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