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Data Science Project Manager Jobs in Michigan (NOW HIRING)

Rocket

Manager, Data Science

Detroit, MI · On-site

As the Manager of Data Science, you will lead a team of data scientists to solve business problems, shape the Data Science organization's direction, and collaborate with leaders across the company.

Randstad Digital

Technical Project Manager

Ann Arbor, MI · On-site

$45 - $50/hr

Guide technical teams, including data scientists and engineers, on model development, data ... Project Management, Technical Oversight & Collaboration Oversee PLM AI initiatives from inception ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

Consumers Energy

Data Scientist

Royal Oak, MI · On-site

Project management knowledge, ability to identify the project/business requirements * Ability to ... Data Science theory and application. Education/Experience * Bachelor's Degree in Data Science, Data ...

Consumers Energy Company

Data Scientist

Royal Oak, MI · On-site

Project management knowledge, ability to identify the project/business requirements * Ability to ... Data Science theory and application. Education/Experience * Bachelor's Degree in Data Science, Data ...

Consumers Energy

Data Scientist

Royal Oak, MI · On-site

Project management knowledge, ability to identify the project/business requirements * Ability to ... Data Science theory and application. Education/Experience * Bachelor's Degree in Data Science, Data ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

Required : • 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers. • ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Michigan

Data Science Project Manager information

See Michigan salary details

$14

$50

$69

How much do data science project manager jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data science project manager in Michigan is $50.12, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $58.65 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Data Science Project Manager jobs in Michigan?

For Data Science Project Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Science Project Manager jobs in Michigan look for?

The top searched job categories for Data Science Project Manager jobs in Michigan are:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Michigan as of September 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $104,257 per year, or $50.1 per hour.

Technical Project Manager

Ann Arbor, MI • On-site

Dawar Consulting, Inc.
IT Services • 11 - 50 employees
Learn more about Dawar Consulting, Inc.external

$90/hr

Other

Posted 17 days ago

Job description

Technical Project Manager

Ann Arbor, United States

Our client, a world leader in the semiconductor industry, is looking for a Technical Project Manager - Enovia PLM based at Ann Arbor, MI

Job Duration: Long Term Contract (Possibility Of Extension)

Pay Rate: $90/hr on W2

We are seeking an experienced Technical Project Manager with a strong background in ENOVIA PLM solutions, AI/ML initiatives, and technical project delivery.

This individual will work closely with data scientists, software engineers, PLM teams, business stakeholders, and vendors to deliver AI/ML solutions within the ENOVIA PLM environment.

  • Lead PLM AI/ML initiatives from project scoping and planning through execution, deployment, launch, and delivery, while managing timelines, deliverables, dependencies, risks, and technical issues.
  • Coordinate cross-functional teams including data scientists, engineers, ENOVIA PLM developers, cloud teams, business stakeholders, and external vendors to ensure successful solution delivery.
  • Oversee the end-to-end AI/ML lifecycle, including data preparation, model development, training, evaluation, validation, deployment, performance monitoring, and integration within ENOVIA PLM workflows.
  • Drive stakeholder communication, AI governance, data privacy, compliance, and risk mitigation, addressing data quality, model performance, infrastructure, scalability, and implementation challenges.
Required Qualifications
  • 7+ years of experience in ENOVIA PLM development, implementation, or solution delivery.
  • 2+ years of experience supporting or delivering AI/ML or data science projects and solutions.
  • 2+ years of project or program management experience, specifically delivering technical solutions involving AI, Machine Learning, or Data Science.
  • Strong understanding of the Machine Learning Lifecycle, including data preparation, model development, training, evaluation, and deployment.
  • Experience coordinating technical teams, including software engineers, data engineers, data scientists, and PLM developers.
  • Experience with JIRA, Confluence, and Git.
  • Experience working with at least one cloud platform: AWS, Azure, or GCP.
  • Strong skills in project planning, risk management, stakeholder management, and cross-functional collaboration.
Preferred Skills
  • Experience integrating AI/ML solutions into PLM applications and enterprise environments.
  • Experience with cloud-based AI/ML deployment and data pipelines.
  • Knowledge of Responsible AI, AI governance, data privacy, fairness, and model transparency.
  • Familiarity with Agile, Scrum, or other technical project delivery methodologies.
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