Reliability Engineering Manager — Lead 24/7 Asset Excellence

Guardian Glass; Corsicana (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Guardian Glass is seeking a Reliability Engineering Manager for its Advanced Manufacturing Team in Corsicana, TX. You will lead reliability strategies to improve asset performance, reduce losses, and drive operational excellence across a new Corsicana facility.

You will mentor a multi-disciplinary team, oversee 24/7 maintenance operations, and partner with site leaders to ensure safety, quality, and cost objectives are met through data-driven, best-in-class practices.

Qualifications

• 5+ years’ experience leading maintenance, reliability, or engineering initiatives in manufacturing/industrial settings.
• Experience using preventive, predictive, and corrective maintenance methods.
• Experience leading multi-shift teams and managing budgets.

Responsibilities

• Lead construction/startup phases of a new production line/asset.
• Build and manage a multi-disciplinary maintenance and reliability team.
• Direct all maintenance operations (preventive, predictive, corrective, breakdown) in a 24/7 environment.
• Collaborate with operations/engineering to align reliability with production goals.
• Integrate reliability initiatives into management of change processes and plant strategies.
• Monitor reliability using KPIs and CMMS tools and drive data-driven decisions.

Skills

Maintenance leadership

Reliability engineering

Budget management

Vendor relationships

Team management

Education

2+ year degree in Mechanical, Electrical, Industrial Engineering

Tools

CMMS

Job description

Guardian Glass is seeking a Reliability Engineering Manager for its Advanced Manufacturing Team in Corsicana, TX. You will lead reliability strategies to improve asset performance, reduce losses, and drive operational excellence across a new Corsicana facility.

You will mentor a multi-disciplinary team, oversee 24/7 maintenance operations, and partner with site leaders to ensure safety, quality, and cost objectives are met through data-driven, best-in-class practices.