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Ai Program Manager Jobs in Minnesota (NOW HIRING)

... management · Proposal and solution definition This role is not just coordination -- it must ... AI Tooling Program Lead \Manager Essential Skills: AI Tooling Program Lead \Manager Desirable ...

AI Technical Program Manager

Edina, MN · On-site

$133K - $172K/yr

Role: AI Technical Program Manager Experience: - Min 12+ Years Location: - Edina, MN (Hybrid 3 days' Work from Office) Duration: - C2H role with client Educational Qualifications: - Engineering ...

New

AI Technical Program Manager

Edina, MN · On-site

$133K - $172K/yr

AI Technical Program Manager Experience: - Min 12+ Years Location: - Edina, MN (Hybrid - 3 days' Work from Office) Duration: - C2H role with client Educational Qualifications: - Engineering Degree ...

New

The Digital Program Manager is a core member of the Digital Program Management Office (PMO), ... Experience leading AI/ML program objectives in collaboration with data scientists, engineers, a ...

The Digital Program Manager is a core member of the Digital Program Management Office (PMO), ... Experience leading AI/ML program objectives in collaboration with data scientists, engineers, a ...

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Showing results 1-20

Ai Program Manager information

See Minnesota salary details

$37.7K

$105.2K

$153.8K

How much do ai program manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai program manager in Minnesota is $105,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $129,800.00 per year, depending on experience, location, and employer.

What is an AI program manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

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

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

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

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options. Strong project management skills and knowledge of AI tools are important for this role.

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

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

What cities in Minnesota are hiring for Ai Program Manager jobs?

Cities in Minnesota with the most Ai Program Manager job openings:

Infographic showing various Ai Program Manager job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $105,248 per year, or $50.6 per hour.

AI Program Lead

Programmers.io

Minneapolis, MN • On-site

Contractor

Re-posted 2 days ago


Job description

Role Summary
Act as the single-threaded leader responsible for driving:
· AI tooling strategy
· AI Development Lifecycle (AI DLC)
· Jellyfish and Amplitude teams management
· Proposal and solution definition
This role is not just coordination — it must actively shape solution architecture, define scope, and drive execution.
Key Responsibilities
· Lead end-to-end solution definition and proposal development
· Define:
o AI Development Lifecycle (AI DLC) frameworks
o Intake processes and artifacts
o End-to-end AI delivery lifecycle
· Drive alignment across:
o AI DLC
o Quality Engineering (AIQE)
o App Ops / Observability
· Own development of:
o Solution architecture
o Delivery roadmap
o Execution model
· Coordinate and manage:
o Jellyfish and Amplitude teams
o Engineering and product stakeholders
· Facilitate working sessions with stakeholders to:
o Refine scope
o Finalize vision
· Ensure:
o Clear articulation of “what will be built” (key client gap)
· Drive delivery readiness and execution planning
Required Skills
· Strong experience in:
o Program leadership (AI, Data or Digital programs)
o Solution architecture and proposal building
· Deep understanding of:
o AI/ML lifecycle
o Engineering workflows
· Proven ability to:
o Define large-scale transformation programs
· Strong stakeholder engagement at leadership level
Preferred Skills
· Experience in:
o AI factory frameworks
o Agent-based / LLM-based systems
· Exposure to:
o Observability, analytics, and tooling ecosystems
Profile Expectation (Critical per Customer)
· Fully dedicated resource (not part-time)
· Ability to work in intense collaboration (even evenings/weekends if needed)
· Strong ownership mindset (not staff augmentation mindset)
· Capable of bridging gap between:
o Vision
o Architecture
o ExecutiTION
Role Descriptions: AI Tooling Program Lead \Manager
Essential Skills: AI Tooling Program Lead \Manager
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Experience Required: 6-8