PLM and CAD Administration Manager

Job Summary

The PLM and CAD Administration Manager leads the strategy, administration, and continuous improvement of PLM, CAD, and engineering data systems. This role owns PLM/CAD roadmaps, drives data integrity and reporting consistency, supports automation and AI-driven improvements, and leads teams that enable product development, manufacturing, quality, and business decision-making.

PLM, CAD Administration, and Technical Writing

• Own and maintain PLM, data management, and CAD roadmaps; align priorities with Engineering, Manufacturing, Quality, IT, and key stakeholders.
• Lead PLM/CAD administration, configuration, and continuous improvement for systems such as Windchill and Creo.
• Establish engineering data governance standards for BOMs, revision/release control, ECR/ECN workflows, and document control.
• Improve reporting consistency, dashboards, automation, and AI-driven solutions to reduce manual effort and improve quality.
• Build, coach, and develop high-performing PLM, CAD Administration, and Technical Writing teams.
• Maintain user documentation, training materials, and support resources; champion PLM/CAD adoption and change management.

• Education:
  
  Bachelor's degree in Engineering, Computer Science, Information Systems, or a related technical discipline.
• Experience:
  
  3+ years in PLM/CAD administration, data management, or engineering, including 1+ year in a leadership or management role.
• Experience supporting PLM/CAD users, developing training, and leading technical teams.
• Strong understanding of BOM structures, revision/release control, ECN/ECR processes, document control, and engineering data standards.
• Ability to develop PLM/CAD roadmaps, drive process improvement, and collaborate across technical and business teams.

• Windchill administration/configuration experience, CAD/PLM integrations, ERP/MRP handoffs, reporting tools such as Power BI or SQL, and change-management experience are preferred.

Lead critical PLM and CAD systems, shape technology roadmaps, improve data quality, strengthen reporting, and guide teams through meaningful process improvements.