Automation Engineering Supervisor

Role Purpose

Develop new manufacturing processes, technologies and methods while improving existing manufacturing processes and capabilities to reach the required CPK/SIGMA levels controlling process scrap and product cost. Assures CSC Compliance through the proper process documentation, enforce standardization and findings follow up ,facilitate and delivered robust well documented data driven RCA with the use of methodology

Designs and analyses Processes to determine Automation and fixturing required  equipment in support of a new product / technology introduction. Maintains knowledge of the latest developments in their area of expertise in order to identify and document any intellectual property developed as part of a project

Key Responsibilities

• Plan, organize and execute work-streams on projects to deliver process improvement and step change capabilities
• Evaluation process cost, quality, and capability alternatives, institutes continuous improvements to existing manufacturing operations through process automation/semi-automation
• Project work scope typically includes equipment selection (design, development) manufacturing installation, start-up and acceptance (Pilot, Pre-Pro Runs & EEM)
• Develop and trial complex mechanisms , involving electromechanical  solutions and full integrations
• Interface with external machine builders, system integrators, and suppliers to specify and deliver fully integrated process machine systems on-time, on-budget and fulfilling the technical scope  , provides site support on RCA and Design reviews
• Utilize statistical tools, engineering data, and DMAIC/DESGN/Lean/MEE/TRIZ methodologies to develop equipment , fixtures and automates solutions to improve manufacturing processes.
• Support development and execution of finishing technology strategy, roadmap and project portfolio , participates on re designs
• Support equipment problem-solving in manufacturing, including root cause identification and resolution when exceeds Controls team capabilities
• Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
• Participate in equipment and fixturing solutions related to improve process KPI’s
• Introduce safe and ergonomic devices and processes to enable a safe work environment
• Propose and implement iKaizen and Safety iKaizen (ergonomic devices and processes) to enable a safe work environment; support and perform 5S implementation in work area to achieve Plant goal
• Support Global equipment development and deployment projects
• Provide electrical , mechanical  ,controls engineering and technical expertise in equipment and fixturing solution creation on all automation projects
• Internal subject matter expert in  design and development of automated solutions

Experiences/Education - Required

A. Education.

• Bachelor of Science or Engineering Degree or higher in relevant discipline, Master’s degree a plus
• Bilingual (English and Spanish)

B. Work Experience.

• 5 years required, 2 years desired of experience as Engineer in Process/Manufacturing, Quality,  NPI or Product Engineering in a multi-product manufacturing environment using Statistical Process Control or/ and Quality Control & Risk Assessment
• 3 years Experience in programming PLC (AB RSLogix, Controllogix, Siemens S7 and G&L)
• 3 years  of Equipment Development experience

Experiences/Education - Desired

• DMAIC Green Belt certified, DMAIC Black Belt certification desired, PQA Green Belt experience a plus
• Working knowledge of manufacturing Process Control (Error-Proofing method application and Statistical Process Control recommended, Customer complaint resolution a plus, Quality Management Systems utilization a plus, etc.)
• Demonstrated track record of Quality and Process improvement projects using Six Sigma, DMAIC, or equivalent process improvement methodology
• Strong problem-solving skills is required (methodological approach)
• Statistical training with experience applying concepts such as Process Capability and Measurement System Analysis, DOE’s, Linear Regressions , Sample Size Calculation ,  etc
• Professional knowledge of MS Office (particularly MS Excel software, MS Word, SPC XL desired, Visual Basic a plus)
• Knowledge of Minitab, SPC or equivalent statistical software is required
• Demonstrated Project Management experience
  • Ability to manage and participate in both short- and long-term projects
  • DESGN/DMAIC /IPIC/TRIZ/MEE