Job Description
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.Teams Managed: PLM, CAD Administration, and Technical WritingKey ResponsibilitiesOwn 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.QualificationsEducation: 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.Preferred QualificationsWindchilladministration/configuration experience, CAD/PLM integrations, ERP/MRP handoffs, reporting tools such as Power BI or SQL, and change-management experience are preferred.Why Join Us? Lead critical PLM and CAD systems, shape technology roadmaps, improve data quality, strengthen reporting, and guide teams through meaningful process improvements.
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