Maintenance & Reliability Lead

Jones Lang LaSalle Incorporated; Goleta (CA); On-site; USD 90,000 - 146,000; Full time

Benefits offered by this job

401(k) plan with company matching

Comprehensive Medical, Dental & Vision

Paid parental leave

Paid Time Off and Holidays

Daily Pay

Job summary

Jones Lang LaSalle Incorporated seeks a Reliability Program Manager to lead maintenance operations for Goleta facilities, ensuring safety, compliance, and high equipment reliability. You will drive preventive/predictive maintenance, analyze root causes, and implement improvements with cross-functional teams.

The role requires an engineering background, 5+ years in facilities/plant management, and experience with predictive maintenance technologies.

Qualifications

• Bachelor of Science in Marine, Chemical, Mechanical or Electrical Engineering.
• Minimum 5 years engineering experience with mechanical/electrical systems.
• Experience with predictive maintenance technologies (vibration, infrared, ultrasound, etc.).
• Knowledge of RCA, FMEA, PM optimization.
• CMMS familiarity: Angus, Corrigo, Maximo.

Responsibilities

• Manage efficient operations and maintenance of facility systems per MSA and KPI requirements.
• Drive quality execution of preventive/predictive maintenance with routine PM audits.
• Develop/implement maintenance strategies to improve reliability and cost efficiency.
• Conduct equipment audits and safety/regulatory compliance reviews.
• Perform RCA/RCM studies and CAPA follow-ups as needed.
• Maintain equipment reliability metrics (OEE) and data analytics for improvements.

Skills

Electrical testing

Written communication

Maintenance reliability

Facilities management

Life sciences experience

Education

Bachelor of Science in Engineering

Tools

Angus CMMS

Corrigo CMMS

Maximo CMMS

Job description

Jones Lang LaSalle Incorporated seeks a Reliability Program Manager to lead maintenance operations for Goleta facilities, ensuring safety, compliance, and high equipment reliability. You will drive preventive/predictive maintenance, analyze root causes, and implement improvements with cross-functional teams.

The role requires an engineering background, 5+ years in facilities/plant management, and experience with predictive maintenance technologies.