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Location: Ann Arbor, Michigan (MI)
Contract Type: C2C
Posted: 3 weeks ago
Closed Date: 01/27/2026
Skills: PLM Project Management,
Visa Type: Any Visa

Title: PLM Project Manager – ENOVIA (AI-Driven Projects)

Location: Ann Arbor, MI

 

Job Description:

We are seeking an experienced PLM Project Manager with strong expertise in ENOVIA PLM and AI-driven project solutions. The ideal candidate will lead end-to-end delivery of PLM/AI initiatives, manage cross-functional and global teams, and ensure successful execution aligned with business and customer objectives.

 

Key Responsibilities:

  • Lead and manage PLM AI projects across all phases: planning, execution, monitoring, control, and closure.
  • Collaborate with technical, business, and customer stakeholders to define project scope, deliverables, timelines, and dependencies.
  • Ensure project milestones are delivered on time, within scope, and within budget.
  • Identify project risks early and implement effective mitigation and contingency strategies.
  • Manage stakeholder communication and provide clear, timely project status updates and reports.
  • Coordinate with global and cross-functional teams to ensure seamless project delivery.
  • Ensure adherence to project governance, compliance, quality, and organizational standards.
  • Support solutioning, effort estimation, and proposal development for PLM AI engagements (as required).
  • Drive continuous improvement in project execution and delivery processes.

 

Required Skills & Qualifications:

  • 8–10 years of overall project management experience.
  • Strong experience in PLM Project Management, specifically ENOVIA.
  • Hands-on experience with AI-driven project solutions or AI-enabled components within PLM programs.
  • Proven ability to manage complex, multi-stream PLM initiatives.
  • Strong analytical, problem-solving, and decision-making skills.
  • Excellent interpersonal, communication, and presentation skills.
  • Ability to collaborate effectively with diverse, global teams.
  • Experience managing stakeholder expectations at multiple levels.