AI Data Engineer Visa Sponsorship Jobs in Michigan
Michigan's AI data engineer job market is anchored by Detroit's automotive technology sector, where companies like Ford, General Motors, and Stellantis are investing heavily in machine learning infrastructure. Ann Arbor and Grand Rapids add university-driven and manufacturing-tech demand. International candidates will find meaningful visa sponsorship activity across these hubs.
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Get Access To All JobsJob ID
72421
Category
Enterprise Technology
Location
Dearborn, Michigan
Work Type
Hybrid
This leadership role is a critical part of the Global Data, Insights & Analytics (GDIA) team within Enterprise Technology, dedicated to supporting the Finance organization. You will be responsible for working closely with the Finance functions, in particular the Finance Operational Excellence (FOX) team that is leading the modernization and transformation strategy for Finance, all while aligning with GDIA's overarching data strategy and governance frameworks.
You will help define and execute the data and AI strategy specific to Finance, build and lead a world-class team, and work with the AI Advancement Center and Data Platform and Engineering teams as well as the ERP technology teams to establish the data infrastructure, governance, and AI capabilities necessary to support the FOX team’s transformation strategy. This role requires a strong technical leader with deep expertise in data science, AI, and a proven track record of delivering measurable business impact.
Strategic Leadership:
- Help Identify and prioritize key Finance workflows that can be enhanced with data, analytics and AI.
- Champion democratized AI and analytics capabilities from GDIA across the Finance organization.
Team Building & Leadership:
- Recruit, mentor, and develop a high-performing team of data scientists, AI engineers, product managers and software engineers.
- Foster a culture of innovation, collaboration, continuous learning, and accountability within the team.
- Provide strong technical and strategic guidance, ensuring best practices in data quality, and AI development.
AI Innovation & Implementation:
- Identify opportunities to leverage artificial intelligence to enhance Finance processes and workflows.
- Lead the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to deployment, monitoring, and continuous improvement.
- Ensure responsible AI practices, including fairness, transparency, and privacy, are embedded in all AI initiatives.
Cross-Functional Collaboration:
- Partner closely with the FOX team to enable their transformation strategy and execute their enterprise level AI initiative.
- Collaborate with GDIA’s AIAC and DPE teams as well as the ERP teams part of the Corporate Staffs Technology teams.
- Act as the primary interface between Finance and the broader GDIA organization, ensuring alignment, sharing best practices, and leveraging enterprise-wide data assets and capabilities.
Performance & Impact:
- Establish key performance indicators (KPIs) and metrics to measure the effectiveness and business impact of data, analytics, and AI initiatives for Finance.
- Present technical data, analytics and AI solutions to executive leadership within Finance in a clear and compelling manner.
Basic Qualifications:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 10+ years of progressive experience in analytics, data science or AI roles.
- 6+ years of experience in a leadership role, building and managing high-performing data, analytics, and AI teams.
- Experience supporting corporate finance functions such as FP&A, Accounting, Tax, Audit, Treasury.
- Demonstrated expertise in statistical modeling, machine learning algorithms, generative AI and their practical application to business problems.
Preferred Qualifications:
- Master's degree or Ph.D. in a quantitative field.
- Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL).
- Experience with (gen)AI/ML Ops practices and tools for deploying and managing production (gen)AI/ML tools at scale.
- Exceptional communication and storytelling skills, with the ability to translate complex technical concepts into business terms for diverse audiences.
- Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams, particularly within a matrixed organization like GDIA.
Job ID
72421
Category
Enterprise Technology
Location
Dearborn, Michigan
Work Type
Hybrid
This leadership role is a critical part of the Global Data, Insights & Analytics (GDIA) team within Enterprise Technology, dedicated to supporting the Finance organization. You will be responsible for working closely with the Finance functions, in particular the Finance Operational Excellence (FOX) team that is leading the modernization and transformation strategy for Finance, all while aligning with GDIA's overarching data strategy and governance frameworks.
You will help define and execute the data and AI strategy specific to Finance, build and lead a world-class team, and work with the AI Advancement Center and Data Platform and Engineering teams as well as the ERP technology teams to establish the data infrastructure, governance, and AI capabilities necessary to support the FOX team’s transformation strategy. This role requires a strong technical leader with deep expertise in data science, AI, and a proven track record of delivering measurable business impact.
Strategic Leadership:
- Help Identify and prioritize key Finance workflows that can be enhanced with data, analytics and AI.
- Champion democratized AI and analytics capabilities from GDIA across the Finance organization.
Team Building & Leadership:
- Recruit, mentor, and develop a high-performing team of data scientists, AI engineers, product managers and software engineers.
- Foster a culture of innovation, collaboration, continuous learning, and accountability within the team.
- Provide strong technical and strategic guidance, ensuring best practices in data quality, and AI development.
AI Innovation & Implementation:
- Identify opportunities to leverage artificial intelligence to enhance Finance processes and workflows.
- Lead the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to deployment, monitoring, and continuous improvement.
- Ensure responsible AI practices, including fairness, transparency, and privacy, are embedded in all AI initiatives.
Cross-Functional Collaboration:
- Partner closely with the FOX team to enable their transformation strategy and execute their enterprise level AI initiative.
- Collaborate with GDIA’s AIAC and DPE teams as well as the ERP teams part of the Corporate Staffs Technology teams.
- Act as the primary interface between Finance and the broader GDIA organization, ensuring alignment, sharing best practices, and leveraging enterprise-wide data assets and capabilities.
Performance & Impact:
- Establish key performance indicators (KPIs) and metrics to measure the effectiveness and business impact of data, analytics, and AI initiatives for Finance.
- Present technical data, analytics and AI solutions to executive leadership within Finance in a clear and compelling manner.
Basic Qualifications:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 10+ years of progressive experience in analytics, data science or AI roles.
- 6+ years of experience in a leadership role, building and managing high-performing data, analytics, and AI teams.
- Experience supporting corporate finance functions such as FP&A, Accounting, Tax, Audit, Treasury.
- Demonstrated expertise in statistical modeling, machine learning algorithms, generative AI and their practical application to business problems.
Preferred Qualifications:
- Master's degree or Ph.D. in a quantitative field.
- Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL).
- Experience with (gen)AI/ML Ops practices and tools for deploying and managing production (gen)AI/ML tools at scale.
- Exceptional communication and storytelling skills, with the ability to translate complex technical concepts into business terms for diverse audiences.
- Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams, particularly within a matrixed organization like GDIA.
AI Data Engineer Job Roles in Michigan
See all 262+ AI Data Engineer Jobs in Michigan
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Search AI Data Engineer Jobs in MichiganAI Data Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Michigan?
Ford Motor Company, General Motors, and Stellantis are among the most active visa sponsors for AI data engineering roles in Michigan, particularly for work involving autonomous vehicle data pipelines and predictive manufacturing systems. Tech-focused subsidiaries and automotive software firms such as Aptiv and Bosch North America also file H-1B visa petitions for these roles regularly. Large healthcare systems and University of Michigan research units round out the sponsoring employer pool.
Which visa types are most common for AI data engineers in Michigan?
The H-1B is the most common visa category for AI data engineers in Michigan, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT have a window to work while an employer files an H-1B petition. O-1A visas are an option for candidates with demonstrated exceptional achievement in AI or data engineering.
Which cities in Michigan have the most AI data engineer sponsorship jobs?
Detroit and its surrounding metro area, including Dearborn and Auburn Hills, generate the highest concentration of AI data engineering sponsorship opportunities given the density of automotive and mobility technology employers. Ann Arbor is a close second, driven by University of Michigan spinouts, research commercialization, and established tech companies with offices there. Grand Rapids has a smaller but growing share of sponsoring employers in manufacturing technology and health informatics.
How to find ai data engineer visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for AI data engineer roles in Michigan. You can filter by state and role to surface positions at Michigan employers with a documented history of sponsoring work visas. Focusing on automotive technology, university research, and health system employers will narrow your search to the sectors most actively hiring and sponsoring in this state.
Are there state-specific considerations for AI data engineers pursuing sponsorship in Michigan?
Michigan's AI data engineering market is heavily shaped by automotive and mobility technology, so candidates with experience in large-scale sensor data processing, computer vision pipelines, or real-time ML inference have an advantage with the state's biggest sponsoring employers. University of Michigan and Michigan State produce a steady pipeline of data science talent, which means competition is real. Prevailing wage requirements under H-1B rules apply statewide and are benchmarked to the Detroit and Ann Arbor metropolitan areas for most postings.
What is the prevailing wage for sponsored ai data engineer jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.