Title:  Senior Engineer - RAMP IROC

What You Will Do

This position within the Integrated Remote Operations Center (IROC) combines technical reliability engineering with strategic oversight of remote maintenance operations. The role translates complex data into actionable strategies using predictive analytics, condition monitoring, real-time sensor inputs, and reliability-centered maintenance (RCM). It leads a team of remote monitoring professionals, ensuring effective communication and execution across multiple mining sites. The role also collaborates closely with site maintenance and operations leadership to implement recommendations and drive continuous improvement in asset performance.

• Lead the integration of predictive maintenance technologies (e.g., IoT sensors, machine learning models) and translate technical findings into operational and/or maintenance strategies.
• Provide guidance to Operational Improvement (OI) teams with respect to predictive maintenance, equipment health, maintenance strategies, and data analysis, ensuring alignment with reliability and operational goals.
• Analyze and interpret User Defined Events (UDEs), including OEM alarms and data signals, to recommend process improvements and/or prevent catastrophic equipment failures thus supporting continuous improvement initiatives.
• Translate technical insights into RAMP (Remote Asset Monitoring Process) specifications and support the design of equipment and systems for metals processing applications.
• Ensure QA/QC of maintenance practices and pre-maintenance activities to align with reliability standards and operational excellence frameworks.
• Manage the IROC remote maintenance monitoring team and oversee supervision, ensuring effective asset monitoring, proactive maintenance interventions, and implementation of technical recommendations.
• Conduct root cause analysis, FMEA, and coordinate with engineering, operations, and suppliers to eliminate defects and system constraints, and optimize asset performance.

What You Bring To Freeport

• Bachelor’s degree in an appropriate Engineering discipline and five (5) years related experience in engineering or related field; OR
• Master’s degree in an appropriate Engineering discipline and three (3) years related experience in engineering or related field.
• Expertise in reliability-centered maintenance (RCM), predictive analytics, and condition monitoring.
• Strong understanding of Remote Asset Monitoring Process (RAMP), 
• Proficiency in Microsoft Office Suite and Computerized Maintenance Management Systems (CMMS).
• Ability to interpret complex technical data and communicate actionable insights to cross-functional teams.
• Proven leadership in managing remote or cross-site maintenance teams.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Familiarity with AI, robotics, and autonomous systems in industrial environments.
• Strong understanding architecture, data integration, and performance optimization.
• Strong understanding of asset performance management (APM)
• Strong communication skills to translate technical findings into actionable maintenance strategies, coupled with the ability to influence stakeholders and drive change in maintenance culture and practices.