Windchill PLM Systems Administrator & AI Enablement

Amphenol Corporation; Yocumtown (PA); On-site; USD 110,000 - 140,000; Full time

Job summary

Amphenol Corporation, a leader in interconnect solutions, seeks an Engineering Systems Engineer for PLM and AI enablement in Yocumtown, PA. The role supports Windchill PLM, ECO/ECN, BOM, and data workflows while advancing AI-driven engineering data initiatives across global teams.

Responsibilities include system administration, data quality, and process standardization, with collaboration across engineering, IT, and AI groups to improve productivity and data integrity.

Qualifications

• Strong analytical and troubleshooting skills in engineering systems.
• Experience with PLM, data management, and product lifecycle processes.
• Ability to collaborate across global teams and translate requirements into system improvements.
• Proficient English communication, documentation, and process development.
• Experience with Creo or CAD-to-PLM integration and data structures.

Responsibilities

• Windchill system support and user access management.
• Troubleshoot PLM-related issues and data synchronization.
• Support ECR/ECN processes and BOM/product structure management.
• Manage engineering documents and CAD data integration with PLM.
• Collaborate with global teams on PLM, digital engineering, and AI initiatives.
• Identify automation opportunities to improve workflows and data quality.

Skills

Analytical thinking

Troubleshooting

Global collaboration

English communication

Data-driven problem solving

Education

Bachelor's degree (Mechanical / Computer / Industrial / Information Systems)

Tools

Windchill PLM

Creo

CAD data management

Job description

Amphenol Corporation, a leader in interconnect solutions, seeks an Engineering Systems Engineer for PLM and AI enablement in Yocumtown, PA. The role supports Windchill PLM, ECO/ECN, BOM, and data workflows while advancing AI-driven engineering data initiatives across global teams.

Responsibilities include system administration, data quality, and process standardization, with collaboration across engineering, IT, and AI groups to improve productivity and data integrity.