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Supervisor IT Manufacturing System

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Onsite

Supervisor IT Manufacturing System

Daikin Industries Indonesia

Supervisor IT Manufacturing System

Skills

SQL QueriesPythonMySQLData AnalysisAIOracleDigital Transformation

2 months ago

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Important information


Contract type:

Permanent

Location:

West Java, Indonesia

Work mode:

Onsite

Published on:

14 August 2026

What they need


Qualifications:

  • Bachelor's degree in Industrial Engineering, Information Systems, Electrical Engineering, Computer Science, or related fields
  • Minimum 5 years of experience in MES, Smart Manufacturing, or Digital Transformation roles
  • Experience supervising or leading small to medium-sized teams
  • Experience in manufacturing operations (automotive, electronics, or related industries is an advantage)
  • Strong knowledge of manufacturing workflows (production tracking, work order execution, traceability, quality inspection, downtime & OEE)
  • Familiar with PLC, SCADA, IoT sensors, and industrial communication protocols (OPC-UA, Modbus, Ethernet/IP)
  • Understanding of databases (SQL Server, Oracle, MySQL) and data integration
  • Basic knowledge of APIs, web services, Python, .NET, or other scripting languages
  • Knowledge of Industry 4.0 concepts (IoT-enabled machines, predictive maintenance, AI analytics, smart factory solutions)
  • Strong problem-solving, analytical thinking, and project management skills
  • Excellent communication skills with ability to train and guide operators, technicians, and engineers

Responsibilities:

  • Lead system enhancements, upgrades, and troubleshooting activities
  • Oversee end-to-end MES operations, ensuring system stability, availability, and performance
  • Develop and maintain MES configurations, master data, and workflows
  • Coordinate with IT, automation teams, vendors, and technical support
  • Lead initiatives for Industry 4.0 implementation
  • Identify improvement opportunities through data analytics and shop floor observations
  • Pilot and implement new technologies (AI, IoT sensors, predictive analytics)
  • Support production teams in resolving MES-related issues
  • Ensure accurate data capture for OEE, productivity, quality, and traceability
  • Supervise MES/data system technicians and engineers
  • Provide regular system performance and improvement progress reports to management

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