Reliability Manager: Predictive Maintenance Leader

The Campbell's Company; Northern (KY); Hybrid; USD 92,000 - 127,000; Full time

Benefits offered by this job

Medical & dental Insurance

401(k) with matching

Disability & life insurance

Paid time off and holidays

On-site fitness center access

Job summary

Campbell's is seeking a Reliability Manager to lead maintenance strategy development, reduce downtime, and optimize costs across a major manufacturing operation in the United States. The role focuses on predictive maintenance programs, asset care planning, and data-driven decision making.

The ideal candidate will bring 10+ years in manufacturing maintenance or a relevant engineering degree with 3+ years in a manufacturing setting, and be prepared to collaborate with R&D, engineering, operations,

Qualifications

• 10+ years in a manufacturing maintenance organization.
• Bachelor's degree or related Engineering discipline.
• 3+ years of experience in a manufacturing environment.

Responsibilities

• Organize and lead predictive maintenance programs (vibration, oil, thermography, acoustical).
• Perform data analytics including baseline assessments, rebuild frequency and forecasting.
• Develop asset care strategies (Die/pan care programs) and documentations (manuals, BOMs).
• Drive process improvements through root cause analysis, FMEA, and criticality assessments.

Skills

Predictive maintenance

Data analytics

Root cause analysis

Reliability engineering

Cross-functional collaboration

Education

Bachelor's degree in engineering

Job description

Campbell's is seeking a Reliability Manager to lead maintenance strategy development, reduce downtime, and optimize costs across a major manufacturing operation in the United States. The role focuses on predictive maintenance programs, asset care planning, and data-driven decision making.

The ideal candidate will bring 10+ years in manufacturing maintenance or a relevant engineering degree with 3+ years in a manufacturing setting, and be prepared to collaborate with R&D, engineering, operations,