Technical Project Manager

Dawar Consulting • Ann Arbor, MI

1d • Onsite

About The Position

Our client, a world leader in the semiconductor industry, is looking for a "Technical Project Manager - Enovia PLM" based at Ann Arbor, MI. This is a long-term contract position with the possibility of extension. The role involves working closely with data scientists, software engineers, PLM teams, business stakeholders, and vendors to deliver AI/ML solutions within the ENOVIA PLM environment. The ideal candidate will 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. This role requires coordinating cross-functional teams and overseeing the end-to-end AI/ML lifecycle, including data preparation, model development, training, evaluation, validation, deployment, performance monitoring, and integration within ENOVIA PLM workflows. The position also involves driving stakeholder communication, AI governance, data privacy, compliance, and risk mitigation, addressing challenges related to data quality, model performance, infrastructure, scalability, and implementation.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Lead PLM AI/ML initiatives from project scoping and planning through execution, deployment, launch, and delivery.
• Manage 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.
• Address data quality, model performance, infrastructure, scalability, and implementation challenges.

What This Job Offers

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