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Data Science Product Manager Jobs in Michigan (NOW HIRING)

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field. * 5+ years of Product Management, Data Management, Business Intelligence ...

As the Manager of Data Science, you will lead a team of data scientists to solve business problems ... Responsibilities : • Lead and mentor a team of data scientists on performance, growth, production ...

Lead and mentor a team of data scientists on performance, growth, production, and day-to-day ... management and administration * Bachelor's degree in computer science, statistics or a related ...

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Deliver communication to data consumers to ensure they understand data science products, have the proper training, and are following the best practices in application of data science products.

... line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that ... Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD ...

... line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that ... Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD ...

As the Product Manager for Data Access, Privacy, and Governance , you will serve as the critical ... Requires a bachelor's or foreign equivalent degree in computer science, information technology or a ...

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Data Science Product Manager information

See Michigan salary details

$44.9K

$138.9K

$171.7K

How much do data science product manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science product manager in Michigan is $138,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $171,700.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
What are popular job titles related to Data Science Product Manager jobs in Michigan? For Data Science Product Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in Michigan look for? The top searched job categories for Data Science Product Manager jobs in Michigan are:
What cities in Michigan are hiring for Data Science Product Manager jobs? Cities in Michigan with the most Data Science Product Manager job openings:
Infographic showing various Data Science Product Manager job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $138,936 per year, or $66.8 per hour.
Product Manager & Data Science Supervisor

Product Manager & Data Science Supervisor

Ford Motor Company

Dearborn, MI • On-site

$193K - $214K/yr

Full-time

Medical, Dental, Life, PTO

Posted 10 days ago


Job description


At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
Responsibilities
What you'll be able to do:
Product Manager & Data Science Supervisor - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Supervise a global cross-functional team composed of data scientists, data analysts, data engineers, product designers, program managers, and software engineers. Provide leadership, mentorship, and guidance to ensure effective collaboration and successful delivery of analytics-driven solutions and product initiatives. Foster an environment of open communication and teamwork, facilitating alignment across diverse technical and business disciplines to achieve organizational goals and continuous improvement. Work closely with stakeholders throughout Ford Operations/Enterprise to identify opportunities to improve process optimization and efficiency via data-driven approaches. Lead, coordinate, and communicate work across multiple teams. Organize large datasets and get actionable insights for business. Apply data mining, data transformation, and develop statistical, optimization, and machine learning models. Create meaningful data visualization, outputs files and presentations to communicate findings with stakeholders. Work with IT to implement analytics tools into a production environment. Develop analytic models using skills such as data wrangling, algorithm design, prototype and deployment. Support cross-function teams on Reductive Design decisions with insights gained from analytics tools and visualization from the data. Problem formulation for Reductive Design problems. Acquire a deep understanding of business problems, define the problem scope from business requests and translate business requirements to analytical projects through Design Thinking. Work effectively with a wide range of stakeholders and functional teams. Interpret results and communicate them to technical and non-technical audiences, cross functional teams, and executive leadership. Support ad hoc requests and serve as insight provider/consultant for business units. Have ownership of the project, create a project plan, track project progress, and host user group meetings. Run efficient SQL to process TB-level datasets. Design a visual interface for users to interact with the data, or persuading visualization. Provide training and maintenance of implemented tools to stakeholders. Build advanced analytics models in the supply chain space.
Qualifications
You'll have...
Master's degree or foreign equivalent in Data Science, Mathematics, Applied Statistics, Computer Science, Mechanical Engineering, Operations Research or a related field and 3 years of experience in the job offered or a related occupation. 3 years of experience with each of the following skills is required: 1. Programming languages, Python or R, and SQL for complex data transformation and analysis. 2. Applying machine learning, statistical modeling, and deep learning techniques to solve business problems and inform product development. 3. Leveraging cloud platforms and big data technologies for scalable data solutions. 4. Developing, fine-tuning, and deploying large language models (LLMs) for NLP tasks, including text classification, summarization, and conversational AI. 5. Communicate complex technical findings and business impacts to diverse technical and non-technical stakeholders. 6. Managing project timelines, scope, and resource allocation within Agile environments. 7. UX principles and the end-to-end software development lifecycle. 8. Version control tools and product management tools (Jira, Confluence, or Figma). 9. Defining and executing product requirements and roadmaps, including the creation of product documentation and user stories.
We are offering a salary of $193,149.00 - $214,986.00/yr.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here:
https://fordcareers.co/LL6HTHD
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982