Reliability Engineer

The Reliability Engineer is responsible for improving plant asset reliability, reducing downtime, and advancing a proactive, data-driven maintenance and asset management culture at International Cellulose Corporation, a Saint-Gobain Company. This role supports safe, reliable, and efficient manufacturing operations by leading preventive and predictive maintenance strategies, root cause analysis, equipment criticality, digital reliability tools, and long-term asset performance improvements.

NATURE & SCOPE OF POSITION:

• Lead reliability improvements for critical manufacturing assets, including shredders, mills, conveyors, dust-collection, chemical dosing, automated bagging, and related support systems.
• Develop and maintain a long-term Asset Reliability Roadmap aligned with plant objectives, business priorities, capital planning, and operational excellence goals.
• Use maintenance history, CMMS/SAP data, downtime trends, equipment health information, and reliability metrics to prioritize risks, corrective actions, and asset lifecycle decisions.
• Support digital manufacturing and Industry 4.0 initiatives through predictive maintenance technology, IIoT sensors, real-time monitoring, dashboards, and connected asset tools.
• Partner with Maintenance, Operations, Engineering, Automation, EHS, and contractors to improve equipment reliability, diagnostics, maintainability, safety, quality, and production performance.

ESSENTIAL JOB FUNCTIONS:

• Design, implement, and sustain reliability-centered maintenance strategies, including PM optimization, equipment criticality, inspection standards, lubrication practices, failure mode reviews, and risk-based maintenance.
• Lead root cause failure analysis and corrective-action follow-up for high-impact or recurring equipment failures affecting safety, quality, cost, or production.
• Implement and utilize predictive maintenance technologies such as vibration analysis, infrared thermography, ultrasound, online condition monitoring, and equipment health monitoring systems.
• Integrate reliability data into SAP, CMMS, Power BI, and other business intelligence tools to improve visibility, decision making, KPI tracking, and maintenance effectiveness.
• Apply advanced reliability methods such as MTBF/MTTR analysis, FMEA, Weibull analysis, lifecycle cost analysis, asset lifecycle planning, and equipment replacement strategies.
• Collaborate with automation and controls teams to improve PLC/SCADA diagnostics, alarm management, data historian use, industrial networking, and real-time asset performance monitoring.
• Identify opportunities to improve sustainability, energy efficiency, environmental performance, spare parts strategy, and equipment obsolescence management through reliability initiatives.

Education

• Bachelor’s degree in Mechanical, Industrial, Electrical Engineering, or related technical discipline preferred; equivalent technical education and industrial experience may be considered.

Experience

• Five-plus (5+) years of reliability, maintenance, engineering, or manufacturing experience preferred.

Technical Knowledge & Skills

• Experience with CMMS/SAP PM, Power BI or data analytics, PM/PdM, RCA, reliability metrics, rotating equipment, conveyors, dust-collection, automated packaging, chemical dosing, PLCs, SCADA, industrial networking, data historians, IIoT or connected asset technologies preferred.
• Knowledge of OT cybersecurity, lifecycle asset management, FMEA, MTBF/MTTR, risk-based maintenance, and continuous improvement is desirable.
• CMRP, CRE, CRL, vibration analysis, or Six Sigma certification is a plus.

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