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Science Project Manager Jobs in Ann Arbor, MI (NOW HIRING)

Qualifications Minimum 5 years in project management in large enterprise environments overseeing small to large teams directly and in matrix managed environments. BS or BA degree in computer science ...

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

Job Title: Project Manager Location: REMOTE (has to relocate to SE MI) Long Term Contract TOP ... Bachelor's and/or Master's degree in - Business Management, Finance, IT, Information Science ...

Project Manager We are seeking an experienced Project Manager to join a small design-build ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Lincoln is recognized as the Welding Expert™ for its leading materials science, software ... The Project Manager must maintain a comprehensive understanding of project scope, objectives, and ...

Lincoln is recognized as the Welding Expert™ for its leading materials science, software ... The Project Manager must maintain a comprehensive understanding of project scope, objectives, and ...

Lincoln is recognized as the Welding Expert for its leading materials science, software development ... The Project Manager must maintain a comprehensive understanding of project scope, objectives, and ...

Bachelor's degree Required (in Science, Chemistry, Business, Marketing, Engineering or a related field preferred) * 1-5 years of experience in a client-facing role such as Project Manager, Account ...

Enovia Project Manager

Ann Arbor, MI · On-site

$96K - $114K/yr

IT Project Manager KLA | Request ID 26775-1 * Location: Ann Arbor, MI * Work Arrangement: Hybrid 3 ... ML or data-science solutions * Strong understanding of ENOVIA PLM * Experience with JIRA ...

Demonstrated performance on project management assignments of increasing responsibility including ... Most projects fall in the automotive, aerospace, or scientific market spaces, particularly in terms ...

Demonstrated performance on project management assignments of increasing responsibility including ... Most projects fall in the automotive, aerospace, or scientific market spaces, particularly in terms ...

As a Project Manager, you will lead the planning, coordination, and execution of projects, ensuring ... We provide science-driven, independent testing, inspection, certification, and advisory services ...

As a Project Manager, you will lead the planning, coordination, and execution of projects, ensuring ... We provide science-driven, independent testing, inspection, certification, and advisory services ...

Bachelor of Science Degree in appropriate subject (e.g. Engineering, Construction Management) * Two years of experience as Project Manager of Industrial Equipment Manufacturing * Position related ...

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Science Project Manager information

See Ann Arbor, MI salary details

$37.7K

$100.5K

$158.5K

How much do science project manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for science project manager in Ann Arbor, MI is $100,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $120,300.00 per year, depending on experience, location, and employer.

What is a science project manager?

Science Project Managers are professionals who oversee and coordinate scientific research projects, ensuring they are completed on time, within budget, and according to established goals and standards. They work closely with researchers, scientists, and other stakeholders to plan, execute, and monitor project progress. Their responsibilities include managing resources, timelines, communication, and compliance with regulations. Science Project Managers often bridge the gap between scientific teams and administrative or funding bodies, helping translate scientific objectives into actionable project plans.

How does a science project manager typically collaborate with research teams and stakeholders?

A Science Project Manager serves as the bridge between research teams, organizational leadership, and external partners. They facilitate clear communication by organizing regular meetings, ensuring milestones and deliverables are well understood, and addressing potential roadblocks early. This role often requires translating complex scientific concepts into actionable project plans and progress updates tailored for diverse audiences, including non-scientific stakeholders. Strong collaboration skills help maintain alignment, promote shared goals, and drive projects to successful completion.

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

To thrive as a Science Project Manager, you need a solid background in scientific disciplines, project management experience, and typically a degree in science or engineering. Familiarity with project management software (like MS Project or Asana), data analysis tools, and relevant certifications such as PMP are highly valued. Strong organizational skills, leadership abilities, and effective communication are crucial soft skills for coordinating teams and stakeholders. These capabilities ensure projects are delivered on time, within scope, and meet scientific and organizational objectives.
Infographic showing various Science Project Manager job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $100,457 per year, or $48.3 per hour.

Technical Project Manager

Dawar Consulting, Inc.

Ann Arbor, MI • On-site

$124 - $143/hr

Other

Posted 2 days ago

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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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