The role is responsible for driving the adoption of advanced maintenance intelligence, predictive analytics, and digital solutions across all CSL Behring sites globally
Job Summary
The role is responsible for driving the adoption of advanced maintenance intelligence, predictive analytics, and digital solutions across all CSL Behring sites globally.
Candidates must have a demonstrated success in implementing predictive or condition-based maintenance programs within a highly regulated biopharma environment.
The position requires strong leadership to influence cross-functional teams and drive innovation while adhering to CSL's core values of patient focus and integrity.
Matching Summary
The role is responsible for driving the adoption of advanced maintenance intelligence, predictive analytics, and digital solutions across all CSL Behring sites globally.
Skills & Requirements
Must-have
Predictive maintenance program implementation
CMMS and EAM system ownership
Global matrix organization experience
Pharmaceutical manufacturing environment
Data governance and integrity management
Asset health monitoring technologies
Nice-to-have
Change management and training development
Cross-cultural collaboration skills
Vendor evaluation and selection
Continuous improvement mindset
Innovation pilot project leadership
Key Requirements
Bachelor's degree in Engineering, Data Science, or related field
7+ years of experience in maintenance or reliability engineering
Experience in global multi-site matrixed organizations