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Data Science Product Manager Jobs in Michigan (NOW HIRING)

Senior Data Product Manager

Dearborn, MI ยท 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 ...

Data Scientist

Warren, MI ยท On-site

$120 - $190/hr

Deliver results on time while managing risks and maintaining methodological and operational quality ... Experience contributing to AI, machine learning, or data science products from concept through ...

Data Scientist

Warren, MI ยท On-site +1

Experience contributing to AI, machine learning, or data science products from concept through ... their manager}. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero ...

Deliver results on time while managing risks and maintaining methodological and operational quality ... Experience contributing to AI, machine learning, or data science products from concept through ...

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

Data Science Tutor

Kalamazoo, MI ยท 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 ยท 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

Detroit, MI ยท 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 ...

... 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 ...

Product Manager -- Optimizations

Detroit, MI ยท On-site

$110 - $160/hr

You will work closely with Data Science, Engineering, Design, customers, and domain experts to turn ... Requirements 5+ years of Product Management experience building software products. Experience with ...

New

... 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 ...

Your mission is to build and scale trusted data science products that power commercial recommendations while promoting data science best practices, actionable outputs and a high bar for model quality ...

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Showing results 1-20

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 Sep 3, 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.

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.

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.

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 August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $138,936 per year, or $66.8 per hour.

Senior Data Product Manager

Saanvi Technologies

Dearborn, MI โ€ข On-site

$116K - $153K/yr

Contractor

Re-posted yesterday


Job description

Senior Data Product Manager

Dearborn, MI( Hybrid 4days onsite 1day remote)

W2

Position Description:

We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals. Required Qualifications * 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, Analytics, or related experience. * Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms. * Experience working with Agile methodologies and product management frameworks. * Ability to translate complex technical concepts into business value. * Strong stakeholder management, communication, and leadership skills. * Experience defining KPIs, product metrics, and business cases. Preferred Qualifications * Master’s degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience with data governance, master data management, and data catalog solutions. * Experience leading enterprise-scale data transformation initiatives. Technical Skills * Data Product Management * Data Warehousing & Data Lakes * Data Modeling * SQL & Analytics * Data Governance & Quality * Cloud Data Platforms * Agile/Scrum * KPI & Metrics Development * API and Data Services Management * Stakeholder Management Success Metrics * Data product adoption and user satisfaction * Data quality and reliability improvements * Reduction in data delivery lead times * Business value generated through analytics and insights * Stakeholder satisfaction and engagement * Achievement of roadmap milestones and product objectives Typical Data Products * Enterprise data platforms * Customer 360 solutions * Product analytics datasets * Operational dashboards and reporting systems * Machine learning feature stores * Data APIs and self-service analytics platforms This description can be tailored further for specific industries such as automotive, healthcare, finance, retail, or manufacturing. Given your background in product lifecycle management and 3DX initiatives, I can also create a Data Product Manager job description focused on automotive digital engineering, PLM, and software-defined vehicle programs.

Skills Required:

Data Management

Skills Preferred:

Product Management

Experience Required:

Specialist Exp.: 10+ yrs in IT; 4+ yrs in concentration

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

Hybrid Role Onsite 4 days a week Key Responsibilities * Define and own the vision, strategy, roadmap, and lifecycle of data products. * Partner with business stakeholders to understand data needs and translate them into product requirements. * Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms. * Prioritize features, enhancements, and technical investments based on business value and customer impact. * Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes. * Drive data governance, metadata management, data quality, and compliance initiatives. * Develop user stories, acceptance criteria, and product backlogs. * Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery. * Gather feedback from users and stakeholders to continuously improve data products. * Communicate product strategy, progress, and outcomes to leadership and stakeholders. * Ensure data products support scalability, security, reliability, and regulatory requirements.

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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