Manager Continuous Improvement - Predictive Maintenance

CONAGRA•Chicago, IL

4d•$109,000 - $159,000•Hybrid

About The Position

Reporting to the Director, Reliability Center of Excellence, you will serve as a member of the Corporate Reliability Center of Excellence and lead the implementation and continuous improvement of maintenance systems, standards, and capabilities across the enterprise. You will guide manufacturing sites in preventive maintenance, predictive maintenance, work management, and spare parts management, while supporting design for reliability and maintenance readiness for new capital equipment. You will own and lead predictive maintenance across all manufacturing sites, driving the development, execution, and sustainability of a formal program, monitoring performance, identifying gaps, and providing insight to senior leadership.

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. Typical travel week will require travelling on Monday morning and returning home Thursday evening/night. Our team works from home on Fridays. Friday travel is not required unless there is a very unusual situation, which typically only happens once or twice a year.

Nice To Haves

vibration certification preferred

Responsibilities

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