Manager, Continuous Improvement – Predictive Maintenance

🕒 July 28

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $109k - $159k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👔 Manager

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Conagra Brands

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1919

🍽️ Food & Beverage

🏭 Manufacturing

Food & Beverage • Manufacturing

Conagra Brands is a major packaged foods company that develops, manufactures, and markets a wide portfolio of consumer food brands, including frozen meals, snacks, baking mixes, and other grocery products. The company operates production plants across the U. S. (and internationally), manages more than 100 brands, and emphasizes product development, manufacturing, and consumer-facing packaged goods.

📋 Description

• Lead and support manufacturing sites to develop and continuously improve preventive and predictive maintenance plans and work management execution • Conduct assessments of maintenance practices at manufacturing sites and lead development and execution of improvement action plans • Own and manage one or more maintenance systems or standards at the enterprise level, including documentation, training, assessments, and key performance indicators • Support site readiness activities for new capital equipment, ensuring maintenance preparedness • Lead predictive maintenance strategy and execution across all manufacturing sites, including implementation of standards, systems, and best practices • Monitor predictive maintenance performance, identify gaps, track key performance indicators, and drive continuous improvement initiatives • Provide guidance and direction to the Reliability Center of Excellence and senior leadership regarding predictive maintenance performance and opportunities • Collaborate with sites to assess current predictive maintenance capabilities and support improvement initiatives • Develop and maintain predictive maintenance program documentation, including standards, flow charts, and one point lessons • Lead monthly predictive maintenance meetings with manufacturing sites, including agenda development, updates, and action tracking • Plan and deliver training programs across the organization • Partner with external predictive maintenance vendors and service providers • Provide remote and onsite support to manufacturing locations as needed • Stay current on emerging technologies and recommend investment opportunities to advance predictive maintenance capabilities • Participate in Reliability Center of Excellence and engineering meetings and events

🎯 Requirements

• Bachelor’s degree in a technical engineering field or equivalent experience • 10 or more years of experience in maintenance roles within a manufacturing environment, including 5 or more years in a maintenance manager role • Extensive knowledge of manufacturing equipment and parts • Experience with continuous improvement methodologies such as Total Productive Maintenance, Lean Manufacturing, Kaizen, and 5S • Deep experience developing preventive and predictive maintenance programs • Experience with asset performance management systems related to predictive maintenance • Experience with artificial intelligence assisted or driven predictive maintenance • Knowledge of predictive maintenance technologies such as vibration analysis, infrared, and oil analysis; vibration certification preferred • Familiarity with enterprise resource planning systems for work management and materials management • Advanced Microsoft Excel skills for data analysis and reporting • Experience using collaboration tools such as SharePoint and Microsoft Teams • Experience creating presentations and delivering training to diverse audiences • Ability to travel. The typical requirement will be 50%, though it may occasionally necessitate up to 75% depending on project or support needs.

🏖️ Benefits

• Comprehensive healthcare plans • Wellness incentive program • Mental wellbeing support • Fitness reimbursement • Bonus incentive opportunity • Matching 401(k) • Stock purchase plan • Career development opportunities • Employee resource groups • On-demand learning • Tuition reimbursement • Paid-time off • Parental leave • Flexible work-schedules (subject to your location and role) • Volunteer opportunities