AI/ML PLM Project Lead — Enovia & Cloud Platforms

Intellibee Inc; Ann Arbor (MI); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Long-Term Stability

Comprehensive Health Coverage

401(k) program

Green Card processing assistance

Job summary

IntelliBee is seeking a Technical Project Manager (PLM) in Ann Arbor, MI to oversee AI/ML initiatives within the Enovia PLM environment, from scoping through launch. You will guide data scientists and engineers on model development, data pipelines, and deployment strategies across cloud platforms such as AWS, Azure, or GCP.

The role emphasizes governance, risk mitigation, and cross-functional collaboration with vendors and stakeholders, ensuring compliant, transparent AI solutions.

Qualifications

• 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.
• Experience in 3DExperience Platform from Dassault Systemes or 3DExperience Enovia from Dassault Systemes.

Responsibilities

• 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).
• 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.

Skills

AI/ML knowledge

Enovia PLM expertise

Stakeholder management

Cross-functional leadership

Communication

Tools

Enovia PLM

JIRA

Confluence

Git

Cloud platforms (AWS/Azure/GCP)

Job description

IntelliBee is seeking a Technical Project Manager (PLM) in Ann Arbor, MI to oversee AI/ML initiatives within the Enovia PLM environment, from scoping through launch. You will guide data scientists and engineers on model development, data pipelines, and deployment strategies across cloud platforms such as AWS, Azure, or GCP.

The role emphasizes governance, risk mitigation, and cross-functional collaboration with vendors and stakeholders, ensuring compliant, transparent AI solutions.