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 experiencedTechnical Project Managerwith a strong background inENOVIA PLM solutions, AI/ML initiatives, and technical project delivery.
This individual will work closely withdata scientists, software engineers, PLM teams, business stakeholders, and vendorsto deliver AI/ML solutions within the ENOVIA PLM environment.
LeadPLM AI/ML initiativesfrom project scoping and planning through execution, deployment, launch, and delivery, while managing timelines, deliverables, dependencies, risks, and technical issues.
Coordinate cross-functional teams includingdata scientists, engineers, ENOVIA PLM developers, cloud teams, business stakeholders, and external vendorsto ensure successful solution delivery.
Oversee theend-to-end AI/ML lifecycle, including data preparation, model development, training, evaluation, validation, deployment, performance monitoring, and integration within ENOVIA PLM workflows.
Drivestakeholder 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 theMachine Learning Lifecycle, including data preparation, model development, training, evaluation, and deployment.
Experience coordinating technical teams, includingsoftware engineers, data engineers, data scientists, and PLM developers.
Experience withJIRA, Confluence, and Git.
Experience working with at least one cloud platform:AWS, Azure, or GCP.