The role leads global efforts to modernize maintenance practices by integrating advanced predictive analytics and digital solutions across all CSL Behring manufacturing sites
Job Summary
The role leads global efforts to modernize maintenance practices by integrating advanced predictive analytics and digital solutions across all CSL Behring manufacturing sites.
Candidates must demonstrate success in implementing condition-based maintenance programs and leveraging IoT sensors to reduce downtime and improve asset reliability in a regulated environment.
The position requires strong collaboration with IT, engineering, and operations teams to establish global standards for maintenance data integrity and continuous improvement.
Matching Summary
The role leads global efforts to modernize maintenance practices by integrating advanced predictive analytics and digital solutions across all CSL Behring manufacturing sites.
Skills & Requirements
Must-have
7+ years in biopharma maintenance
Predictive maintenance program implementation
CMMS and EAM data governance
Global matrix organization experience
Asset health monitoring and KPIs
Pharmaceutical regulatory compliance
Nice-to-have
Master's degree or MBA preferred
Change management and training development
Vendor evaluation and selection skills
Cross-cultural collaboration expertise
Strategic business acumen for ROI
Key Requirements
Bachelor's degree in Engineering, Data Science, or related field
7+ years of experience in maintenance or reliability within biopharma
Proven track record of deploying predictive maintenance technologies
Experience working in global, multi-site matrixed organizations