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This exciting role provides reliability engineering support for operations and maintenance of buildings, infrastructure, and equipment assets as part of JLL's enhanced Reliability & Asset Management program. You'll develop robust analysis to determine reliability of assets, components, equipment, and processes while extracting data from connected systems to continually improve maintenance programs. The position involves overseeing root cause failure analysis (RCFA) of equipment failures and developing corrective action plans that maximize reliability and efficiency of client assets.
Job Responsibility:
Prepare work packages for planned maintenance activities including safety requirements and cost estimates
Create and manage preventative maintenance tasks using Reliability Centered Maintenance approaches
Conduct root cause failure analysis investigations and equipment condition assessments
Monitor predictive maintenance technologies like vibration analysis, oil analysis, and thermography
Maintain accurate records and KPIs within CMMS systems
Collaborate with maintenance teams to develop risk mitigation strategies for critical assets
Review work order feedback and improve future planning efforts
Requirements:
Bachelor's degree in Engineering (mechanical or electrical preferred)
1-2 years' experience with RCM and building automation systems
Extensive knowledge of mechanical, electrical, plumbing, and fire suppression systems
Experience with commercial, critical, manufacturing, or distribution facilities
Proficiency with CMMS software systems
Strong Microsoft Excel skills for data manipulation
Ability to read and apply technical manuals and reference materials
Nice to have:
Formal maintenance planning/scheduling training
Experience in critical/regulated environments (data centers, labs, manufacturing)
Certified Reliability Leader certification
Certified Maintenance Reliability Professional certification
Level 1 thermography, vibration, or ultrasound certifications
Experience with Root Cause Analysis and Failure Modes and Effects Analysis