PLM Project Manager

ExecRecruitment • Ann Arbor, MI

3d

About The Position

Project Management, Technical Oversight & Collaboration Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia). Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, GCP). AI/ML Knowledge · Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment). Tools Strong understanding and solution experience in Enovia PLM Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, GCP) Ethical & Compliance Guardrails Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints. Soft Skills Strong communication, leadership, and the ability to influence cross-functional teams without direct authority. Stakeholder Management and collaborate with multiple functional groups and Vendors

Requirements

• 7+ years of experience in Enovia PLM Development & Solutions
• 2+ years of Experience in AI Project Development/Solution
• 2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions
• Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle
• Strong understanding and solution experience in Enovia PLM
• Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, GCP)
• Strong communication, leadership, and the ability to influence cross-functional teams without direct authority

Responsibilities

• Oversee PLM AI initiatives from inception to launch
• Guide technical teams on model development, data pipelines, and deployment strategies
• Ensure AI models are fair, transparent, and comply with data privacy regulations
• Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints
• Collaborate with multiple functional groups and Vendors

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed