DATA ANALYTICS PROJECT MANAGER- INDUSTRY 4.0

• Implement data analytics in order to improve efficiency and productivity of Intelligent Exterior Systems core process: plastic injection, painting and assembly technology (bonding, welding, clipping , screwing…)
• Develop methods to be implemented in the organization for Predictive Quality and Predictive Maintenance

Activities:

• Implement data analytics for core process to improve process efficiency & productivity

• Understand core process: plastic injection, painting and assembly
• Assess & define data needed with Process Experts to achieve the productivity & efficiency goals
• Ensure delivery or right data to database by Data Collection Engineer : quality parameter outputs and process parameter inputs
• Extract relevant features & indicators from raw data (high frequency signals, geometry measures, images…)
• Reconciliate & contextualize data on relevant parameters (Unique ID, timeline…)
• Apply relevant analytic methods with appropriate tools & algorithm (SPC, Mulitvariate SPC, probalistic approach, machine learning, AI…)
• Analyse results with plants & experts in order to make relevant recommendation
• Build predictive model & apply close loop control when possible
• Teach process engineers in central department and plants basis of data analytics to

• Develop methods, organization & tools for predictive quality & predictive maintenance :

• Define the right methodology for data analytics on manufacturing process
• Benchmark different tools & platform to achieve relevant analytics
• Implement tools & methodology in the plants & departments
• 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: Data analytics in industry 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 data analytics applied to production