PLM Integration Engineer

Winnebago Industries IncMiddlebury, IN
Hybrid

About The Position

Winnebago Industries has an exciting new opportunity for a PLM Integration Engineer based out of our Middlebury, IN location. This role may be hybrid. This role will own and drive the end-to-end CAD and BOM digital thread across Winnebago business units, ensuring scalable, standardized, and integrated engineering processes. This role enables engineering efficiency, improves time-to-market, and ensures seamless data flow across CAD, PLM, and ERP platforms.

Requirements

  • CAD (Onshape) and PLM systems (e.g., Arena)
  • ERP integration and BOM data management
  • API architecture and system integration
  • Digital thread concepts
  • Data governance and lifecycle management
  • Cloud-based engineering platforms
  • Bachelor’s degree in engineering, Computer Science, or related field
  • 8+ years in engineering systems, PLM/CAD, or process ownership roles
  • 3+ years leading cross-functional or enterprise initiatives

Nice To Haves

  • master’s preferred
  • Manufacturing or product development experience preferred
  • System integration or enterprise architecture experience preferred

Responsibilities

  • Own the enterprise CAD platform (Onshape) and associated engineering data processes
  • Define and standardize CAD, BOM, and engineering workflows across business units
  • Drive integration strategy between CAD, PLM, middleware, and ERP systems
  • Lead development and governance of APIs enabling digital thread connectivity
  • Ensure data accuracy, structure, and lifecycle management across systems
  • Partner with engineering, IT, and business stakeholders to align system capabilities to business needs
  • Lead change management and user adoption initiatives for new tools and processes
  • Identify and implement continuous improvement opportunities to increase engineering efficiency
  • Establish governance models for process control, versioning, and data ownership
  • Support supplier and partner integration into engineering data workflows
  • Monitor platform performance, usage, and scalability across business units
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