Global Maintenance Intelligence & Innovation

CSL Limited

Multiple Locations
**
Predictive maintenance tools
Digital work-management systems
Maintenance data collection
** CSL Limited is seeking a Global Maintenance Intelligence & Innovation Lead to drive the integration of advanced maintenance practices and digital solutions across its facilities. The role focuses on modernizing maintenance strategies, enhancing asset performance, and ensuring regulatory compliance in a highly collaborative, global environment. **

Job Summary

  • The Global Maintenance Intelligence & Innovation Lead is responsible for driving the adoption of advanced maintenance intelligence, predictive analytics, digital solutions, and innovation across all CSL Behring sites.
  • This role leads global efforts to modernize maintenance practices, integrate data-driven decision making, and leverage new technologies to enhance asset performance, reliability, and operational excellence.
  • The position partners with site maintenance, reliability, engineering, digital, and operations teams to transform how maintenance is planned, executed, monitored, and improved, always aligned with CSL’s commitment to quality, patient focus, and global standards.

Matching Summary

Match Score: 75

** CSL Limited is seeking a Global Maintenance Intelligence & Innovation Lead to drive the integration of advanced maintenance practices and digital solutions across its facilities. The role focuses on modernizing maintenance strategies, enhancing asset performance, and ensuring regulatory compliance in a highly collaborative, global environment. **

Skills & Requirements

Must-have

  • predictive maintenance tools
  • digital work-management systems
  • maintenance data collection
  • asset health monitoring
  • CMMS/EAM data systems
  • regulatory compliance
  • global innovation projects
  • cross-functional collaboration

Nice-to-have

  • cultural champion
  • safety-first mindset
  • continuous learning environment
  • strategic thinking
  • business acumen

Key Requirements

  • Bachelor's degree in Engineering, Data Science, Computer Science, or related technical field
  • 7+ years of experience in maintenance, reliability, or engineering
  • Experience implementing predictive or condition-based maintenance programs
  • Experience working in a global or multi-site, matrixed organization
  • Willingness to travel globally

Work Rights

Not specified

Tailored Resume

Cover Letter