Manager Predictive Maintenance

CONAGRA • Chicago, IL

8d • Remote

About The Position

Reporting to the Director of Continuous Improvement, as the Corporate Predictive Maintenance Leader you'll develop a world class Predictive Maintenance program. As a member of the Reliability Center of Excellence Team and cross-functional Technical Transformation Team, you will lead the development and execution of Predictive Maintenance processes, tools, standards, and key performance indicators. The goal is to develop robust Predictive Maintenance capabilities and support across all manufacturing sites to improve equipment reliability, production efficiency, and overall equipment effectiveness (OEE). Define utilization standards for Predictive Maintenance technologies such as: vibration analysis, thermography, ultrasound, and acoustic, and lead implementation and execution across manufacturing sites. Define utilization standards for vibration sensors and remote monitoring and lead implementation and execution across manufacturing sites. Collaborate with preferred Predictive Maintenance service and technology providers. Define and manage Predictive Maintenance related SAP Plant Maintenance data. Define and manage Predictive Maintenance KPI's. Develop and maintain improvement plans and provide periodic updates. Review predictive maintenance analysis reports and provide guidance and oversight of corrective action plans. Maintain inventory of PdM equipment at manufacturing sites and make recommendations of which tools should be utilized. Collaborate with Corporate and manufacturing sites technical resources on evaluating and implementing new predictive technologies. Conduct PdM inspection or analysis.

Requirements

• Bachelor’s Degree in Engineering
• 10+ years of experience in manufacturing, leading Predictive Maintenance across multiple manufacturing sites
• Project Management experience
• Excel – Intermediate level
• Experience establishing Predictive Maintenance processes and capabilities across multiple manufacturing sites.
• Vibration analysis certification.
• Thermography certification.
• MLT-1 certification or willing to pursue
• Extensive ultrasound and acoustic experience
• Experience with CMMS systems, SAP Plant Maintenance
• Ability to travel. The typical requirement will be 50%, though it may occasionally necessitate up to 75% depending on project support needs.

Responsibilities

• Develop Predictive Maintenance program
• Lead the development and execution of Predictive Maintenance processes, tools, standards, and key performance indicators
• Define utilization standards for Predictive Maintenance technologies such as: vibration analysis, thermography, ultrasound, and acoustic, and lead implementation and execution across manufacturing sites
• Define utilization standards for vibration sensors and remote monitoring and lead implementation and execution across manufacturing sites
• Collaborate with preferred Predictive Maintenance service and technology providers
• Define and manage Predictive Maintenance related SAP Plant Maintenance data
• Define and manage Predictive Maintenance KPI's
• Develop and maintain improvement plans and provide periodic updates
• Review predictive maintenance analysis reports and provide guidance and oversight of corrective action plans
• Maintain inventory of PdM equipment at manufacturing sites and make recommendations of which tools should be utilized
• Collaborate with Corporate and manufacturing sites technical resources on evaluating and implementing new predictive technologies
• Conduct PdM inspection or analysis

Benefits

• Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees