Maintenance Lead — World-Class Factory Reliability

Unilever PLC; Toronto; On-site; CAD 85,000 - 127,000; Full time

Job summary

Unilever Canada is seeking a Maintenance Lead to drive World Class factory performance by eliminating breakdowns and improving basic conditions through predictive and preventive maintenance, automation, and focused improvement methods.

You will coach a cross-functional team, train maintenance staff, and implement countermeasures to boost reliability, efficiency, and cost effectiveness. Strong leadership and data-driven problem solving are essential.

Qualifications

• 3-5 years of maintenance experience in manufacturing.
• Graduate-level degree in Mechanical, Chemical, or Electrical Engineering or related field.
• Strong troubleshooting skills.
• Ability to visualize the ideal production system.
• Understand operating principles and establish correct operating standards.
• Present findings clearly to a whole factory team.
• Data-driven decision making.
• Challenging and pioneering spirit.

Responsibilities

• Eliminate losses using PM, FI and QC tools.
• Lead maintenance team and coach in root cause analysis.
• Implement preventive, predictive maintenance and automation improvements.
• Train maintenance crews on technical standards and sustainability.
• Identify and extend good practices to other lines.
• Develop standards to support line operators and mechanics.

Skills

Maintenance experience

Engineering degree

Troubleshooting

System thinking

Data-driven decisions

Problem solving

Leadership potential

Education

Mechanical, Chemical, or Electrical Engineering degree

Tools

Allen Bradley PLC

Autocad

P&IDs / PFDs

NFPA 70E

Control panels

Job description

Unilever Canada is seeking a Maintenance Lead to drive World Class factory performance by eliminating breakdowns and improving basic conditions through predictive and preventive maintenance, automation, and focused improvement methods.

You will coach a cross-functional team, train maintenance staff, and implement countermeasures to boost reliability, efficiency, and cost effectiveness. Strong leadership and data-driven problem solving are essential.