Technical Project Manager

Technical Project Manager Ann Arbor, United States 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. #J-18808-Ljbffr Dawar Consulting