Data Science Manager Jobs in Michigan
Data Science Manager jobs in Michigan are actively sought across automotive technology, healthcare analytics, and financial services, with openings ranging from lead analyst roles stepping into management through senior director-level positions. Detroit, Ann Arbor, and Grand Rapids anchor the bulk of hiring, where established employers like Ford Motor Company, Michigan Medicine, and Rocket Companies maintain substantial data teams. The most in-demand specialties in Michigan include machine learning operations, predictive analytics for manufacturing, and healthcare data governance. Find a role that fits below and apply directly.
Find Data Science Manager JobsOverview
Showing 4 of 10+ Data Science Manager jobs
COMPANY DESCRIPTION
At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!
POSITION SUMMARY
The Sr. Analyst, Data Science will develop and manage data and reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on driving the technological capabilities of the data analytics teams, including applying machine learning, statistical modeling, and forecasting to commercial questions such as demand planning, pricing optimization, and churn risk. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows, using experimentation and measurement to validate what works.
POSITION QUALIFICATIONS
Knowledge, Skills, & Abilities:
- Applying machine learning, statistical modeling, and forecasting techniques to business problems.
- Designing experiments and measuring outcomes to validate analytical solutions.
- SQL data modeling in a relational database.
- Power BI report development and deployment.
- Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency.
- Good analytical and problem-solving skills.
- Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture.
- Strong written and verbal communication skills
- Ability to work independently and as part of a team.
- Ability to work in a fast-paced environment, balancing multiple priorities, and ensuring high-quality outcomes.
- Knowledge of FDA and ISO guidelines is preferred.
Level of Experience:
- Experience building predictive models or forecasts in Python, R, or similar.
- Experience with Power BI, Power Query or other business intelligence tools.
- Experience with SQL, Python, R or other programming tools.
- Experience with project management lifecycles.
- Experience with general business processes, requirements gathering and report building.
Level of Education:
- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in information science, data management, computer science or related field preferred.
Travel:
- Less than 10%.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develops and deploys machine learning models, statistical analyses, and forecasts to support commercial decision making, including demand planning, pricing optimization, and churn risk.
- Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance.
- Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions.
- Find opportunities to help business users and increase efficiency throughout the business, including through automation and predictive analytics.
- Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes.
- Works as an SME of our data and tools to help inform business users on options and best practices to support their functions.
OTHER RESPONSIBILITIES
- Uphold and embody AirLife’s values in all aspects of work.
- Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
- Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
- Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
- Contribute to building and maintaining a positive team environment.
- Assure all policies and guidelines are implemented and followed.
QUALITY POLICY
At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.
DEIA STATEMENT
At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.
BENEFITS
AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.
Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.
COMPANY DESCRIPTION
At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!
POSITION SUMMARY
The Sr. Analyst, Data Science will develop and manage data and reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on driving the technological capabilities of the data analytics teams, including applying machine learning, statistical modeling, and forecasting to commercial questions such as demand planning, pricing optimization, and churn risk. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows, using experimentation and measurement to validate what works.
POSITION QUALIFICATIONS
Knowledge, Skills, & Abilities:
- Applying machine learning, statistical modeling, and forecasting techniques to business problems.
- Designing experiments and measuring outcomes to validate analytical solutions.
- SQL data modeling in a relational database.
- Power BI report development and deployment.
- Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency.
- Good analytical and problem-solving skills.
- Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture.
- Strong written and verbal communication skills
- Ability to work independently and as part of a team.
- Ability to work in a fast-paced environment, balancing multiple priorities, and ensuring high-quality outcomes.
- Knowledge of FDA and ISO guidelines is preferred.
Level of Experience:
- Experience building predictive models or forecasts in Python, R, or similar.
- Experience with Power BI, Power Query or other business intelligence tools.
- Experience with SQL, Python, R or other programming tools.
- Experience with project management lifecycles.
- Experience with general business processes, requirements gathering and report building.
Level of Education:
- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in information science, data management, computer science or related field preferred.
Travel:
- Less than 10%.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develops and deploys machine learning models, statistical analyses, and forecasts to support commercial decision making, including demand planning, pricing optimization, and churn risk.
- Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance.
- Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions.
- Find opportunities to help business users and increase efficiency throughout the business, including through automation and predictive analytics.
- Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes.
- Works as an SME of our data and tools to help inform business users on options and best practices to support their functions.
OTHER RESPONSIBILITIES
- Uphold and embody AirLife’s values in all aspects of work.
- Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
- Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
- Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
- Contribute to building and maintaining a positive team environment.
- Assure all policies and guidelines are implemented and followed.
QUALITY POLICY
At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.
DEIA STATEMENT
At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.
BENEFITS
AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.
Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.
See All 10 Data Science Manager Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
Data Science Manager Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Retail
- Automotive
- Consumer Goods
- Electronics & Hardware
- Consulting & Professional Services
What Michigan Employers Look For
The qualifications that appear most often in data science manager jobs across Michigan.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Five or more years of experience in data science with at least two years in a team lead or management role
- Proficiency in Python, R, SQL, and at least one major cloud platform such as AWS or Azure
- Demonstrated ability to translate complex analytical findings into actionable business recommendations
- Experience building and mentoring cross-functional data science teams in an enterprise environment
- Familiarity with Michigan-relevant industries such as automotive engineering, healthcare systems, or financial technology
Data Science Manager Jobs in Michigan: Frequently Asked Questions
How do you become a data science manager in Michigan?
Most data science managers in Michigan enter the role through a combination of a bachelor's or master's degree in data science, statistics, or computer science and several years of hands-on analytical work before moving into leadership. There is no state-issued license required in Michigan for this role. Michigan employers typically expect candidates to have led projects or small teams before making the transition into a formal management title.
Which companies hire data science managers in Michigan?
Employers hiring data science managers in Michigan right now include Nexteer Automotive, Bosch, and Zoetis, based on current listings on Migrate Mate as of November 2026. Michigan's concentration of automotive, healthcare, and fintech headquarters means that many of these employers are running large, permanent data science functions rather than project-based teams.
Which Michigan cities have the most data science manager jobs?
Grand Rapids, Detroit, and Saginaw have the most data science manager openings in Michigan. Detroit and its metro suburbs drive the largest share of listings, anchored by the automotive and mobility technology sector, while Ann Arbor's university research ecosystem and Grand Rapids' growing healthcare network generate consistent demand in their own right.
Are there remote data science manager jobs in Michigan?
Yes, and more than most fields, since data science manager work is inherently desk-based and collaborative through digital tools. About 0% of data science manager openings tied to Michigan are remote or hybrid as of November 2026, reflecting the role's analytical and strategic nature. Strategy, modeling oversight, and team coaching tend to be the functions most commonly performed fully remotely.
How can I get hired as a data science manager in Michigan with little or no experience?
The most realistic entry path is moving from a senior data scientist or analytics lead role into a manager title, rather than applying to management positions directly from an early-career background. Large Michigan employers like Ford Motor Company and Michigan Medicine run structured rotational and development programs that prepare high-performing analysts for leadership. Building a portfolio that includes cross-functional project leadership, mentorship of junior analysts, and business impact documentation gives candidates from adjacent roles a concrete edge.
Where can I find and apply to data science manager jobs in Michigan?
You can find and apply to data science manager jobs in Michigan on Migrate Mate, which lists current Michigan openings across industries including automotive, healthcare, and financial services. Find roles that fit your background and apply directly to the ones that match.
See All 10 Data Science Manager Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs