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Manager Intelligent Automation Jobs in Michigan (NOW HIRING)

Trinity Health - IHA

Software Engineer IV

Ann Arbor, MI · On-site

... development with intelligent automation to improve the daily experience of clinicians and ... Excellent organizational and time management skills to effectively juggle multiple priorities, time ...

Vintage Cash Cow

As Warehouse Design & Automation Manager, you'll play a key role in shaping how our warehouses ... intelligent warehouse design and the implementation of the right technologies. You'll combine ...

OPmobility

INDUSTRIAL AUTOMATION ENGINEER

Troy, MI

Innovation-driven since its creation, the Group develops and produces intelligent exterior systems ... Project management skills * Fluent English required Key behavioral competencies (be customercentric ...

OPmobility

INDUSTRIAL AUTOMATION ENGINEER

Troy, MI · On-site

Innovation-driven since its creation, the Group develops and produces intelligent exterior systems ... Project management skills * Fluent English required Key behavioral competencies (be customer ...

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Manager Intelligent Automation information

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$27K

$101.6K

$147.7K

How much do manager intelligent automation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager intelligent automation in Michigan is $101,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $121,200.00 per year, depending on experience, location, and employer.

What is a Manager of 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 are the key skills and qualifications needed to thrive as a Manager Intelligent Automation, and why are they important?

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 of 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 the most commonly searched types of Intelligent Automation jobs in Michigan? The most popular types of Intelligent Automation jobs in Michigan are:
What are popular job titles related to Manager Intelligent Automation jobs in Michigan? For Manager Intelligent Automation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Intelligent Automation jobs in Michigan look for? The top searched job categories for Manager Intelligent Automation jobs in Michigan are:
What cities in Michigan are hiring for Manager Intelligent Automation jobs? Cities in Michigan with the most Manager Intelligent Automation job openings:
Manager Intelligent Automation jobs near you
Electrical/Computer Engineering Co-op 2026

Electrical/Computer Engineering Co-op 2026

Nexteer Automotive Corporation

Saginaw, MI • On-site

Full-time

Posted 27 days ago

Nexteer Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

334th of 417 rated machine equipment manufacturers

Job description

The Student Program at Nexteer Automotive offers high-potential students meaningful opportunities to apply classroom learning in a professional environment while gaining hands-on experience and valuable industry exposure. Learn more about our student program and career opportunities at Nexteer by visiting www.nexteer.com/careers.
This is a student co-op position located in Auburn Hills, MI. This position supports ECU application testing and lab activities.
Job Posting: Co-op ECU Application Testing (Automotive)
About the Role
We are seeking a motivated, detail-oriented co-op student to join our ECU Application Testing team. This role offers hands-on experience in embedded systems validation and exposure to simulation-based testing. You will gain exposure to the full validation lifecycle of automotive embedded systems while working alongside experienced engineers to ensure robust integration of hardware and software components in automotive ECUs.
In addition to traditional validation activities, this role offers exposure to AI-enabled testing initiatives that support next-generation approaches to intelligent automation, test generation, and validation efficiency.
Key Responsibilities
  • Learn and navigate the virtual validation toolchain, including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments
  • Gain exposure to industry tools such as MATLAB/Simulink, Vector CANoe, and related automation frameworks
  • Assist in developing, updating, and executing test cases and test plans for hardware/software integration at component and system levels based on functional and system requirements
  • Conduct bench-level, SIL, and HIL testing using MathWorks and Vector toolchains
  • Document test results, identify anomalies/defects, and support root cause analysis in collaboration with senior engineers
  • Maintain traceability between requirements and test cases using the RTC toolchain
  • Contribute to test automation frameworks using CAPL, Python, C#, or scripting tools
  • Support version control and configuration management of simulation models, test assets, and automation artifacts
  • Explore simulation-based fault injection and robustness testing methods
  • Participate in software build, release planning, and cross-functional engineering meetings

AI-Based Test Initiatives
  • Support AI-assisted test case and test vector generation using requirements, system models, or historical test data
  • Assist in validating AI-generated tests against functional expectations, system requirements, and execution results
  • Contribute to data preparation and labeling activities for machine-learning-based test initiatives (e.g., requirement-to-test mapping, anomaly datasets)
  • Participate in benchmarking AI-generated tests versus manually authored tests to evaluate coverage, quality, and execution effectiveness
  • Support integration of AI tools into existing SIL/HIL and automated regression workflows

Requirements
  • Candidate must be attending a 2-year college or 4-year university local to Auburn Hills
  • Candidate must be pursuing a bachelor's degree in Electrical Engineering or Computer Engineering
  • Candidate must be able to work 2032 hours per week during the fall and winter semesters
    • Up to 40 hours per week during the summer semester
  • Must have a cumulative GPA of 2.7 on a 4.0 scale
  • Must be a full-time student (12 or more credits) during the fall and winter semesters
  • Candidate must have an interest in embedded systems, microcontrollers, and automotive communication protocols (CAN, CAN FD, LIN, FlexRay)
  • Candidate must have a strong interest in coding, with exposure to scripting languages such as Python, MATLAB, or C#
  • Candidate must have a foundational understanding of electrical and computer engineering principles
  • Candidate must have strong mathematical and analytical abilities
  • Candidate must be proficient with Microsoft products (Office 365, Word, Excel, PowerPoint, Project, Power BI, Access, SQL)
  • Candidate must have excellent communication and documentation skills and strong attention to detail
  • Candidate must have the right to work in the U.S. and not require current or future sponsorship

Preferred Requirements
  • Coursework or interest related to AI/ML, data science, or intelligent automation
  • Exposure to Python-based data analysis or basic machine learning workflows
  • Curiosity and initiative to explore emerging technologies in automotive validation

What You'll Gain
  • Real-world experience in automotive embedded systems testing and validation
  • Exposure to industry-standard tools, processes, and safety-focused engineering practices
  • Hands-on participation in AI-enabled test strategy development, including next-generation automation and intelligent validation workflows
  • Mentorship from experienced engineers and opportunities to contribute to live production programs
  • A collaborative, innovative environment with visibility into modern automotive software development lifecycles

Nexteer is an Equal Opportunity Employer Disabled/Minorities/Veterans/Women
Nexteer is an E-Verify employer. E-Verify is an internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.
Accessibility for Applicants with Disabilities: If you need a reasonable accommodation for the online application process due to a disability, please email careers@nexteer.com. Please provide your contact information and details about the posted position of interest. Only inquiries regarding assistance for those who need an accommodation with the online application process due to a disability will be returned.

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