Technical Project Manager
Listed on 2026-08-20
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations, Data Engineering
Technical Project Manager.
Project Management, Technical Oversight & Collaboration
Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).
Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge
Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).
Tools
Strong understanding and solution experience in Enovia PLM
Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails
Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation
Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.
Soft Skills
Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.
Stakeholder Management and collaborate with multiple functional groups and Vendors Experience
7+ years of experience in Enovia PLM Development & Solutions
2+ years of Experience in AI Project Development/Solution
2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.
location:Ann Arbor, Michigan
job type:
Contract
salary: $45 - 50 per hour
work hours: 8am to 5pm
education:
No Degree Required
responsibilities:
Project Management, Technical Oversight & Collaboration
Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).
Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform).
AI/ML Knowledge
Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).
Tools
Strong understanding and solution experience in Enovia PLM
Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform)
Ethical & Compliance Guardrails
Ensure AI models are fair, transparent, and comply with data privacy regulations.
Risk Mitigation
Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.
Soft Skills
Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.
Stakeholder Management and collaborate with multiple functional groups and Vendors
Experience
7+ years of experience in Enovia PLM Development & Solutions
2+ years of Experience in AI Project Development/Solution
2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.
qualifications:Technical Project Manager.
Project Management, Technical Oversight & Collaboration
Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).
Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge
Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).
Tools
Strong understanding and solution experience in Enovia PLM
Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails
Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation
Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.
Soft Skills
Strong communication, leadership, and the ability to influence cross-functional teams…
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