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DIVISIÓN Intelligent Exterior Systems



  • Lead collection of data through connection to PLC, sensors and IT/IS systems (ERP, MES...) for Plastic Omnium–Intelligent Exterior Systems’ core process & machines: plastic injection, painting and assembly technology (bonding, welding, clipping, screwing…)
  • Ensure quality of data through relevant checking tools and proper storage in appropriate databases to run proper analytics for  Predictive Quality and Predictive Maintenance





On his/her perimeter of responsibility:


  • Lead data collection & acquisition through connection to machines PLC, sensors & IT/IS systems for core PO-IES process & ensure quality and security of data.
  • Understand PO-IES core process: plastic injection, painting and assembly
  • Contribute to assess & define data needed with Process Experts, plants & data analysts to achieve the productivity & efficiency goals
  • Study & define ways of acquiring the data on machines PLC, sensors (IOT box or device) & IT/IS systems as well as computing data if needed (edge computing)
  • Source & put in place with plant automation technician & suppliers the equipments needed for DAQ ( Data Acquisition) & data computing if needed ( edge servers)
  • Study & define with IT department the best network for data flow (wired LAN, Wireless network...) in terms of flow, reliability and security
  • Study & define with IT department the best repository / database system to store data for further analytics
  • Check data consistency & accuracy through relevant software & quality check protocols
  • Ensure delivery or right data to database with Data Analysts : quality parameter outputs and process parameter inputs
  • Contribute to predictive model by applying close loop control when possible or needed
  • Teach process engineers in central department and plants basis of data acquisition & treatment
  • Active awareness & benchmark on connection (IOT) and Data Acquisition and treatment / computing
  • Measure progress & results to improve



  • Ensure adhesion of future plant teams & departments to the technologies implemented by identifying the skills and competence needed and elaborating the proper training modules.






Educational background: Master’s degree in Automation, Data Science, Engineering, or Manufacturing

Proficient in English language


Skills: Automation, connection to PLC, sensors, data acquisition experience, Team player and project management skills.

New technologies & digitalization affinity

Result, productivity, continuous improvement & lean manufacturing oriented

Capacity to explain and teach on Data Acquisition topics

Previous Experience: In automation, PLC, data acquisition in production.


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