Technical Project Manager

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.
  

• 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.
  

• 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.