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Manager Intelligent Automation Jobs in Minnesota

Partnering with Product Management, Architecture, Data Science, Data Engineering, Security ... AI, and intelligent automation. * Champion Responsible AI principles and AI-DLC governance ...

Partnering with Product Management, Architecture, Data Science, Data Engineering, Security ... and intelligent automation. Champion Responsible AI principles and AI-DLC governance, including ...

Work hands-on with Generative AI, automation platforms, intelligent workflows, and emerging ... Mentor stakeholders and contribute to the development of AI product management best practices ...

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Manager Intelligent Automation information

See Minnesota salary details

$30.4K

$114.2K

$166K

How much do manager intelligent automation jobs pay per year?

As of Aug 6, 2026, the average yearly pay for manager intelligent automation in Minnesota is $114,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a manager intelligent automation?

A Manager of Intelligent Automation is a professional responsible for overseeing the implementation and management of automation technologies, such as robotic process automation (RPA) and artificial intelligence (AI), within an organization. Their role involves identifying processes that can be automated, leading automation projects, and ensuring that these solutions align with business objectives. They also collaborate with cross-functional teams to optimize workflows, improve efficiency, and reduce costs. Additionally, they may be responsible for training staff, monitoring performance, and staying updated on emerging automation trends.

What do managers of intelligent automation get paid?

Managers of intelligent automation typically earn between $90,000 and $150,000 annually, depending on experience, industry, and location. They often have skills in process automation tools like UiPath or Automation Anywhere and may hold certifications in automation or project management.

What are the key skills and qualifications needed to thrive as a manager intelligent automation?

To thrive as a Manager Intelligent Automation, you need expertise in process analysis, automation strategy, and project management, usually backed by a degree in computer science, engineering, or related fields. Proficiency with tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications such as RPA Developer or PMP, are typically required. Strong leadership, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovation. These skills are critical for successfully implementing automation initiatives that boost efficiency and deliver measurable business value.

How does a manager intelligent automation typically collaborate with cross-functional teams during automation projects?

A Manager of Intelligent Automation plays a pivotal role in bridging business units, IT, and operations to ensure automation solutions align with organizational goals. They frequently lead workshops with stakeholders to identify automation opportunities, translate business requirements into technical specifications for developers, and oversee project progress through regular meetings. Effective collaboration involves clear communication, managing expectations, and fostering a culture of continuous improvement, as well as providing support during change management to ensure seamless adoption of new automated processes.

What is the difference between Manager Intelligent Automation vs Business Process Manager?

AspectManager Intelligent AutomationBusiness Process Manager
Required CredentialsTypically requires certifications in automation tools, project management, and sometimes programmingOften requires business management, process improvement, or project management certifications
Work EnvironmentWorks closely with IT, automation teams, and technical stakeholdersFocuses on process optimization across departments, collaborating with business units
Industry UsageCommon in tech-driven industries, finance, and manufacturingWidely used across various industries for operational efficiency

The Manager Intelligent Automation focuses on implementing automation solutions using technical skills, while the Business Process Manager concentrates on optimizing overall business processes. Both roles aim to improve efficiency but differ in technical depth and scope.

What are popular job titles related to Manager Intelligent Automation jobs in Minnesota? For Manager Intelligent Automation jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Manager Intelligent Automation jobs in Minnesota look for? The top searched job categories for Manager Intelligent Automation jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Intelligent Automation jobs? Cities in Minnesota with the most Manager Intelligent Automation job openings:
Infographic showing various Manager Intelligent Automation job openings in Minnesota as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $114,206 per year, or $54.9 per hour.

Smart Manufacturing & Supply Chain AI Enablement Lead

Cargill

Minneapolis, MN • On-site

Full-time

Posted 2 days ago

New


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers


Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with lifes essentials, we enable businesses to grow, communities to prosper, and consumers to live well.

This position is in our Ag & Trading enterprise, where we connect producers and users of grains and oilseeds around the globe through origination, trading, processing, and distribution. We also offer a range of farmer services and risk management solutions.

Job Purpose and Impact

The Smart Manufacturing & Supply ChainAI Enablement Leadis accountable forexecutingAI-enabled product development from concept through deployment, adoption, scaling, andcontinuous improvementto delivermeasurablevalue across Manufacturing & Supply Chain.

This rolepartnerswithOperations,Supply Chain, and technology teamstoshapeanddeliver anAIproduct pipelinethat includesGen AI, agentic AI, machine learning, automation,analytics, and workflow orchestration, while ensuringalignment to strategic objectives,responsible AI standards,adoption,andvalue realization.


Key Accountabilities
  • Lead end-to-endAI productexecution, including discovery, business case development, solution design,prioritization,pilots, deployment, scaling, andvalue tracking.
  • Translate business needs intoAIproduct vision, roadmaps,prioritized backlogs,and delivery plans that balancenear-termexecutionwith long-termcapability development.
  • Partner with senior business and enterprise stakeholders to shape priorities, resolvetradeoffs, and align investments, defining KPIs and value realization measures to guidedecisionmakingacross the portfolio.
  • Drivedevelopmentand scaling ofSmart Manufacturing& Supply ChainAIproducts,including Gen AI assistants, agentic workflows, intelligent automation, predictive analytics, and decision-support tools.
  • Translatebusiness problems into AI product requirements, includinguser workflows, dataneeds, guardrails, testing criteria, adoption plans, and scalable operating models.
  • Establish clear deliverables,project charters,delivery plans,andreportstoplan, execute, and documentAI product initiatives.
  • Drivereadiness,adoption, and sustained value realization in partnershipwith change management and operational teams.
  • Establish operating rhythmsforintake, prioritization, stage-gate decisions, backlog reviews,demos, adoption tracking, and value realization.
  • ApplyAI capabilitiestoimprove manufacturing performance, decision quality, process efficiency, knowledge management, and frontlineworkflows.
  • Identifyrisks, dependencies, and constraints early, proactively recommending mitigation strategies andtradeoffdecisions tomaintainmomentum and outcomes.
  • Act as a functional thought leaderonproduct management practicesand emerging digital, analytics, automation,Gen AI, and agenticAI technologies.
  • Perform other duties as assigned.
Qualifications
Minimum Qualifications
  • Bachelors degree in a related field or equivalent experience
  • 46 years of relevant experience in product management, product ownership, digital delivery, or related roles
  • Previousexperience working inmanufacturingand/orsupply chainenvironments
  • Experience translating business requirements into prioritized product backlogs and deliverables
  • Technical fluency with data, analytics, APIs, Python,automation, or AI development environmentstoexecute andpartner effectively withtechnicalteams.
  • Experience developingordeploying AI-enabled solutions such as Gen AI assistants, agentic workflows, intelligent automation, predictive analytics, or decision-support tools.
Preferred Qualifications
  • Demonstrated ability to lead through influence, aligning diverse stakeholders around a common product vision and driving outcomes
  • Experience managing digital, data, analytics, automation, or AI products applied to operational environments
  • Strong analytical skills with experience using data to inform prioritization anddecisionmaking
  • Working knowledge of agile values, frameworks, and metrics
  • Experience supportingtechnologyenabledbusiness transformation or change initiatives
  • Understanding ofAI product development concepts, including Gen AI, agentic AI, machine learning, automation, data products, or digital workflow solutions.
  • Familiarity with Gen AI and agentic AI solution patterns, including prompt design, retrieval-augmented generation, workflow orchestration, tool/action integration, model evaluation, human-in-the-loop controls, and responsible AI practices.

At Cargill, we are committed to building a workplace where individuals from all backgrounds feel respected, valued, and able to contribute fully. We believe that bringing together different perspectives strengthens our teams and drives better outcomes.

Cargill is an equal opportunity employer and is committed to providing an accessible recruitment experience. If you require accommodation at any stage of the hiring process, please let us know so we can work with you to meet your needs.


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US