Equipment Reliability Engineering Supervisor

Cosmetique Asia Corporation; Malolos; Sur place; PHP 700 000 - 1 000 000; Plein temps

Résumé du poste

Cosmetique Asia Corporation is seeking an Equipment Reliability Supervisor to drive reliability programs and quantify improvements in plant equipment. You will lead a team of reliability technicians and work with maintenance, operations, and engineering to minimize downtime and control costs.

The role requires a mechanical or engineering degree with 5–8 years in maintenance or reliability, plus at least 2 years in supervision. Strong communication and analytical skills are essential for success.

Qualifications

• Bachelor's degree in Engineering (Mechanical/Electrical/Chemical) or related field.
• 5–8 years of maintenance or reliability experience in manufacturing or similar industry.
• At least 2 years in a supervisory/leadership role.
• Strong knowledge of reliability engineering principles.
• Experience with preventive, predictive, and RC maintenance (RCM).
• Knowledge of RCA, FMEA, and RCM methods.
• Strong leadership, coaching and team management skills.
• Excellent analytical and problem-solving abilities.
• Effective communication and interpersonal skills.
• Project management and planning capabilities.

Responsabilités

• Develop and implement equipment reliability programs to maximize asset performance.
• Lead preventive, predictive, and condition-based maintenance initiatives.
• Analyze equipment failures using RCA and implement corrective actions.
• Monitor equipment health using predictive maintenance tools.
• Supervise and mentor reliability technicians.
• Review maintenance KPIs like availability and adherence to plan.
• Collaborate with Production to improve equipment performance.
• Identify chronic issues and recommend design or process improvements.
• Manage reliability projects and continuous improvement initiatives.

Connaissances

Leadership

Analytical skills

Problem-solving

Communication

Formation

Bachelor's degree in Engineering (Mechanical/Electrical/Chemical)

Outils

RCM tools

FMEA

Root Cause Analysis (RCA)

Microsoft Excel

PowerPoint

Microsoft Word

Description du poste

About the role

The Equipment Reliability Supervisor is responsible for improving the reliability, availability, and performance of plant equipment through preventive, predictive, and reliability-centered maintenance strategies. This role supervises reliability technicians and coordinates with maintenance, operations, and engineering teams to minimize equipment downtime, optimize maintenance costs, and ensure safe and efficient operations.

Key responsibilities

• Develop and implement equipment reliability programs to maximize production asset performance

• Lead preventive, predictive, and condition-based maintenance initiatives

• Analyze equipment failures using Root Cause Analysis (RCA) and implement corrective actions

• Monitor equipment health using predictive maintenance tools

• Supervise and mentor equipment reliability technicians

• Review maintenance KPIs such as equipment availability and maintenance adherence to plan

• Collaborate with Production to improve equipment performance

• Identify chronic equipment issues and recommend design or process improvements

• Manage equipment reliability projects and continuous improvement initiatives

• Ensure accurate maintenance records

Requirement of the Role

• Bachelor's degree in Engineering preferably Mechanical Engineering, Electrical Engineering, Chemical Engineering, or a related field.

• Minimum of 5–8 years of maintenance or reliability experience in manufacturing, or a similar industrial environment.

• At least 2 years of supervisory or leadership experience is preferred.

• Strong knowledge of reliability engineering principles.

• Experience with preventive, predictive, and reliability-centered maintenance (RCM).

• Knowledge of Root Cause Analysis (RCA), Failure Modes and Effects Analysis (FMEA), and Reliability-Centered Maintenance (RCM).

• Strong leadership, coaching, and team management skills.

• Excellent analytical and problem-solving abilities.

• Effective communication and interpersonal skills.

• Project management and planning capabilities.

• Proficiency in Microsoft Office applications, especially Excel, PowerPoint and Word.