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.
