AI Data Analyst Visa Sponsorship Jobs in Michigan
AI data analyst visa sponsorship jobs in Michigan draw from the state's strengths in automotive technology, life sciences, and university research. Major employers in Detroit, Ann Arbor, and Grand Rapids, including Ford, General Motors, Stellantis, and Michigan Medicine, regularly hire for roles blending machine learning, predictive modeling, and business intelligence at scale.
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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 Analyst Job Roles in Michigan
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Search AI Data Analyst Jobs in MichiganAI Data Analyst Jobs in Michigan: Frequently Asked Questions
Which companies in Michigan sponsor visas for ai data analysts?
Michigan's largest visa sponsors for AI data analyst roles are concentrated in automotive technology and healthcare. Ford Motor Company, General Motors, and Stellantis file H-1B visa petitions for data and AI roles supporting connected-vehicle and manufacturing analytics programs. Michigan Medicine, Beaumont Health, and Blue Cross Blue Shield of Michigan also sponsor for analysts working in clinical data and predictive health modeling. Mid-size tech firms in Ann Arbor and Detroit's emerging tech corridor round out the sponsor pool.
Which visa types realistically cover ai data analyst roles in Michigan?
AI data analyst roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, data science, statistics, or applied mathematics. The H-1B is the primary path, subject to an annual cap and selection process. Australian nationals may use the E-3 visa, and Chilean and Singaporean nationals may qualify for H-1B1 visa. F-1 students can work via OPT and, if their degree carries a STEM-designated Classification of Instructional Programs code, may extend authorization through STEM OPT with an E-Verify-enrolled employer. EB-2 and EB-3 green card categories apply for longer-term sponsorship.
How to find ai data analyst visa sponsorship jobs in Michigan?
Migrate Mate lists AI data analyst positions with verified sponsorship history from Michigan employers, searchable by city and role type. Because automotive giants and healthcare systems in Detroit, Ann Arbor, and Grand Rapids file LCAs regularly, the database reflects active hiring rather than outdated postings. Filtering by role and location on Migrate Mate lets you identify which Michigan employers have an established track record of sponsoring AI and data analyst positions.
Which Michigan cities have the most ai data analyst visa sponsorship jobs?
Detroit and its suburbs, particularly Dearborn and Troy, generate the highest volume of AI data analyst sponsorship activity due to the headquarters presence of Ford, General Motors, and Stellantis. Ann Arbor is the second major hub, driven by the University of Michigan, affiliated research spinoffs, and a dense cluster of analytics and health-tech companies. Grand Rapids has grown steadily through medical device manufacturers and regional healthcare networks that need analysts for population health and operational data programs.
What state-specific factors should ai data analysts know about Michigan's sponsorship market?
Michigan's sponsorship market is shaped heavily by the automotive industry's shift toward software-defined vehicles and AI-driven manufacturing. Employers like Ford and GM have expanded internal data science teams significantly, creating consistent demand for analysts with machine learning and computer vision skills. The University of Michigan in Ann Arbor also feeds a strong OPT and STEM OPT pipeline into local employers. Candidates with experience in time-series analysis, sensor data, or supply-chain optimization are particularly well-positioned given the state's industrial focus.
What is the prevailing wage for sponsored ai data analyst 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.