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Ai Program Manager Jobs in Milwaukee, WI (NOW HIRING)

Johnson Controls

AI Engineer

Glendale, WI · On-site

... programs, faster, with AI embedded in how we work. You will be embedded in a scrum team in Milwaukee, working hands-on with engineers, data scientists, and product managers. You will become a key ...

Johnson Controls, Inc.

AI Engineer

Glendale, WI · On-site

$85 - $127/hr

... programs, faster, with AI embedded in how we work. You will be embedded in a scrum team in Milwaukee, working hands‑on with engineers, data scientists, and product managers. You will become a key ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

... programs, faster, with AI embedded in how we work. You will be embedded in a scrum team in Milwaukee, working hands-on with engineers, data scientists, and product managers. You will become a key ...

Johnson Controls, Inc.

AI Engineer

Glendale, WI · On-site

... programs, faster, with AI embedded in how we work. You will be embedded in a scrum team in Milwaukee, working hands-on with engineers, data scientists, and product managers. You will become a key ...

Deloitte

Google AI Architect

Milwaukee, WI

We transform engineering teams, modernize technology, and deliver complex programs with a product ... implement context management, retrieval strategies, and observability. * Define end-to-end ...

Takkt

Sr. Product Manager, Operations Platforms

Milwaukee, WI

$124K - $164K/yr

Drive growth and business productivity by introducing AI and automation capabilities across our end ... Employee Assistance Program and wellness resources * Generous PTO, paid holidays, floating holidays ...

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Ai Program Manager information

See Milwaukee, WI salary details

$37.9K

$105.8K

$154.6K

How much do ai program manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for ai program manager in Milwaukee, WI is $105,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $130,500.00 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 Milwaukee, WI?

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

What job categories do people searching Ai Program Manager jobs in Milwaukee, WI look for?

The top searched job categories for Ai Program Manager jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Ai Program Manager jobs?

Cities near Milwaukee, WI with the most Ai Program Manager job openings:

Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Milwaukee, WI as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $105,803 per year, or $50.9 per hour.

AI Adoption and Implementation Lead

Alto-Shaam

Menomonee Falls, WI • Remote

Full-time

Re-posted 25 days ago

Alto-Shaam rating

6.6

Company rating: 6.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

396th of 491 rated machine equipment manufacturers

Job description

Company Description

Join the Alto-Shaam Team 

Virtually Tour our Facility:https://app.cloudpano.com/tours/piGHjskWR

Whether you're just beginning your career or have years of assembly experience-you've come to the right place. Working at Alto-Shaam means you're part of a passionate team of people all working together towards one common goal. We want you on our team, because you believe in getting better every day. That kind of continuous improvement is what leads to promotions, pay raises, and company-wide innovation.

Since 1955, Alto-Shaam has pioneered industry-leading foodservice equipment that anticipates and responds to industry needs. Our solutions have helped generations of foodservice professionals enhance their menus while providing a greater return on their investment.

Job Description

The AI Adoption & Implementation Lead is responsible for identifying, prioritizing, and delivering practical AI solutions across Alto-Shaam. Reporting to the VP of Technology, this role partners with all departments to evaluate high-impact opportunities, align them with appropriate tools and platforms, and lead end-to-end execution from pilot to full deployment. As a key member of the AI Leadership Team, this individual helps drive enterprise-wide AI strategy and adoption. This is a highly hands-on role, requiring both strategic vision and technical execution. Success is measured by delivering scalable, user-adopted AI solutions that generate tangible business value.

The ideal candidate for a AI Adoption and Implementation Lead would be able to do the following

Opportunity Discovery & Prioritization

  1. Lead structured working sessions with cross-functional leaders (Finance, Operations, Engineering, Sales, HR, Customer Service) to identify process inefficiencies and high-impact AI opportunities.
  2. Support the AI Steering Committee in building and maintaining a prioritized, enterprise-wide AI opportunity backlog.
  3. Develop and present clear, actionable AI roadmaps to the VP of Technology and executive team, including recommendations on build, buy, or configure approaches.
  4. Continuously evaluate emerging AI tools, platforms, and use cases, ensuring alignment with manufacturing and mid-market business needs.

Implementation & Execution

  1. Lead end-to-end delivery of AI initiatives, including requirements gathering, tool/vendor selection, configuration or development, testing, deployment, and post-launch monitoring.
  2. Integrate AI solutions into existing enterprise systems such as Oracle Fusion Cloud (ERP/SCM/Finance), Microsoft 365, SharePoint, CRM, and MES platforms.
  3. Design, build, and maintain AI-driven workflows, including LLM agents, copilots, retrieval-augmented generation (RAG) systems, and intelligent automation solutions.
  4. Establish and refine prompt engineering standards and evaluation frameworks; continuously improve solutions based on user feedback and performance metrics.
  5. Own delivery timelines and milestones, partnering with project managers to execute work, proactively mitigate risks, and resolve blockers.
  6. Serve as an AI subject matter expert and advocate, supporting change management efforts and translating technical concepts into practical business value across all levels of the organization.
  7. Partner with leadership to identify and develop a network of departmental AI Champions to drive adoption within each function.
  8. Design and deliver role-based AI training, including workshops, playbooks, and best-practice guidance for end users.
  9. Track, measure, and report on adoption, user satisfaction, and business impact of deployed AI solutions.

Governance, Security & Ethics

  1. Develop, implement, and maintain AI governance frameworks, including Acceptable Use Policy, Data Classification Guidelines, and Prompt Engineering Standards.
  2. Maintain an AI risk register, proactively identifying and mitigating risks related to data privacy, hallucinations, intellectual property, and regulatory compliance.
  3. Ensure all AI solutions adhere to organizational security standards and align with established IT governance processes.
  4. Collaborate with IT, Legal, and HR to address AI-related policy, compliance, and ethical considerations.

Vendor & Technology Management

  1. Evaluate, select, and recommend AI tools, platforms, and vendors aligned to business needs.
  2. Manage and evolve the enterprise AI technology stack, balancing cost, security, scalability, and integration complexity. 
  3. Provide ongoing insights to the VP of Technology on emerging AI trends, competitive applications, and potential risks. Measurement & Reporting

Measurement & Reporting

  1. Define and advise on key performance indicators (KPIs) to measure AI adoption, usage, and business impact.
  2. Deliver regular program updates to Technology leadership, including project status, pilot progress, adoption metrics, and spend.
  3. Continuously refine AI solutions using performance data, analytics, and user feedback to maximize value and effectiveness
Qualifications

EDUCATION / SKILLS REQUIRED:

  • Bachelor's degree in Information Technology, Computer Science, Engineering, Business Technology, or a related field (or equivalent practical experience).
  • 3-5 years of progressive experience in systems integration, automation, software development, or AI implementation.
  • Proven ability to deliver AI or automation solutions in a business environment, from pilot through full production deployment.
  • Hands-on experience with large language models (LLMs), AI-enabled workflows, and prompt engineering best practices.
  • Experience integrating AI solutions with enterprise platforms via APIs (e.g., ERP, CRM, SharePoint, or similar systems).
  • Strong communication skills with the ability to translate complex AI concepts for both technical and non-technical audiences, from frontline employees to executive leadership.
  • Demonstrated project management capability, including leading cross-functional initiatives and driving outcomes without direct authority.
Additional Information

For more information about our benefits, job duties, and company values, go to

https://www.alto-shaam.com/en

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