Technical Project Manager

dawarconsulting; Ann Arbor (MI); On-site; USD 106,000 - 142,000; Full time

Job summary

Unknown client in Ann Arbor, MI is seeking a Technical Project Manager with deep ENOVIA PLM and AI/ML experience. You will lead cross-functional teams to scope, plan, deploy and monitor AI/ML solutions within ENOVIA PLM workflows.

The role requires strong program management skills, cloud experience, and a focus on governance, data privacy, and risk mitigation across stakeholders and vendors.

Qualifications

• 7+ years ENOVIA PLM development, implementation, or solution delivery.
• 2+ years delivering AI/ML or data science projects and solutions.
• 2+ years of project or program management experience delivering technical AI/ML solutions.
• Strong understanding of the Machine Learning Lifecycle (data prep, model dev, training, evaluation, deployment).
• Experience coordinating technical teams including software engineers, data engineers, data scientists, and PLM developers.
• Experience with Jira, Confluence, and Git.
• Experience with at least one cloud platform: AWS, Azure, or GCP.

Responsibilities

• Lead PLM AI/ML initiatives from project scoping through deployment and delivery, while managing timelines, deliverables, dependencies and risks.
• Coordinate cross-functional teams including data scientists, engineers, PLM developers, cloud teams, business stakeholders and external vendors.
• Oversee the end-to-end AI/ML lifecycle within ENOVIA PLM workflows, including data prep, model development, training, validation, deployment and monitoring.
• Drive stakeholder communication, AI governance, data privacy, compliance and risk mitigation.

Skills

ENOVIA PLM

AI/ML

Project management

Team coordination

Cloud platforms

Stakeholder management

Tools

Jira

Confluence

Git

Job description

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.