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
Job Summary
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.
Establish global standards and governance for maintenance data collection, asset health monitoring, performance metrics, and analytics to ensure consistency, transparency, and continuous improvement across the enterprise.
Uphold CSL’s Core Values of Patient Focus, Innovation, Integrity, Collaboration, and Superior Performance in all activities.
Matching Summary
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.
Skills & Requirements
Must-have
predictive maintenance tools
data-driven decision making
digital work-management systems
maintenance data collection standards
asset health monitoring
CMMS/EAM data governance
Nice-to-have
cultural champion
safety-first mindset
continuous learning environment
cross-cultural collaboration
strategic thinking and 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