Technical Project Manager

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.