Senior Predictive Reliability Engineer in Cleveland, OH at Arconic

Date Posted: 11/7/2018

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 continuing improvement and reliability excellence in existing and future manufacturing systems.  The incumbent will also serve as a key resource for location growing 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 to 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. Std PM and PdM Plans etc. documentation
  • Manage predictive reliability projects in partnership with the locations and 3rd party vendors who provide predictive reliability solutions
  • Work closely with outside contractors and engineering firms to execute equipment reliability improving activities safely, on time, and on budget.
  • 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 improving 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. Advantage in experience with analytics and predictive technologies
  • An understanding of equipment maintenance actions within the reliability framework from a data perspective
  • Experience with condition based monitoring technologies
  • Strong analytic problem solving: able to develop and use 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.
  • Fluent in English.
 
#LI-KD1

Qualifications

Basic Qualifications:
  • Bachelor’s degree in Computer Science or Engineering from an accredited institution
  • Minimum 5 years of manufacturing maintenance experience
 
Preferred Qualifications:
  • Up to date knowledge of state of the art industrial automation technology
  • Experienced at blue print and schematic reading and interpretations
  • Experience with data driven equipment performance monitoring.
  • Experience in implementing reliability focused strategy
  • Reliability Certifications (CRE, ASQ, SMRP, Life Cycle Institute Programs, etc.)
  • Experience with CMMS systems and maintenance planning processes (incl. FMEA, Control Plan)