Predictive Reliability Engineer in Cleveland, OH at Arconic

Date Posted: 11/15/2018

Job Snapshot

Job Description

Accountability Objectives
Under the direction of the Predictive Reliability Manager, this position will implement the predictive maintenance strategy across Arconic manufacturing processes with strong ties to the use of the latest technologies and equipment. Lead role for driving continual improvement and reliability as well as excellence in existing and future manufacturing systems.  The incumbent will also serve as a key resource for location growth in automation and integration with enterprise systems.
• Work with maintenance and production teams to improve equipment reliability, maintainability, and sustainable production output by utilizing Preventive and Predictive maintenance tools and technologies as well as analyzing equipment failures
• Evaluate existing manufacturing systems and executes actions to drive safety, productivity, quality, and cost improvements
• Plan and coordinate events for projects and large Preventive Maintenance events
• Provide hands-on technical support / trouble shooting to solve problems of root cause
• Read and understand process sheets and blue prints
• Develop and maintain maintenance documents such as FMEA, Control Plan, standardized downtime reporting and multilevel equipment structure used for all these plus cost reporting.  Develop documentation such as Std PM, PdM Plans, etc.
• Work closely with outside contractors and engineering firms to execute equipment reliability and to improve activities in a safe, on time, and on budget manner.
• Actively contribute within the Rapid Improvement Teams as they are deployed to support Arconic locations based on business needs and priorities established by the organization
Job Dimensions:
The primary purpose of this position is to assist in developing and executing maintenance strategies which strive towards predictive approaches to improve equipment health via Smart Manufacturing.
The incumbent will possess:
• A deep knowledge of industrial equipment (forging, robotics, and CNC equipment are a plus), process controls, maintenance planning systems, condition based monitoring, and TPM and/ or REX execution.
• Experience with analytics and predictive technologies for preferred candidates
• An understanding of equipment maintenance actions within the reliability framework from a data perspective
• Experience with condition based monitoring technologies
• Strong analytic problem solving by developing and using structured approaches to identify root causes and recommend resolutions
• Project Management skills and ability to manage multiple projects simultaneously to meet objectives and key deadlines
• Good verbal and written communication skills.


Basic Qualifications:
• Bachelor’s degree in Computer Science or Engineering from an accredited institution
• Minimum 3 years of manufacturing maintenance experience
Preferred Qualifications:
• Up-to-date knowledge of state-of-the-art industrial automation technology
• Experience in implementing reliability-focused strategy
• Experienced at blue print and schematic reading and interpretations
• Experience with data-driven equipment performance monitoring.
• Reliability Certifications (CRE, ASQ, SMRP, Life Cycle Institute Programs, etc.)
• Experience with CMMS systems and maintenance-planning processes (incl. FMEA, Control Plan)