Digital & Analytics Leader
About this position
Responsibilities
• Scope of responsibilities: STL plant, and as the part of Domain Leader need to support another site partially.
• As Digital Transformation representative to drive all digital development and deployment across factory and comply with Schneider Cybersecurity policy and Schneider Digital development standard.
• As digital & analytics representative to define the governance and support analytics deployment on the factory site and support in term of analytics competency development.
• Fulfill MMR (Minimum Mandatory Requirement) Smart Factory to get Advanced Certification.
• Reduce Non-Value Added (NVA) process for organization through digital development and enhance existing process for each department.
• Improve Energy Management to be more advance through advanced Analytics.
• Improve Assets Performance Management to be more advance through advanced Analytics.
• Develop Digital Best Practices as part of Continuous Improvement and Actively share in Analytics Community and share best practices to other sites.
• Deploy digital analytics solution on data operation to strengthen collaboration across East Asia.
• Support organization to develop process governance for each KPI and standard documentation.
• Developing the Web Based Application (.Net, PHP, HTML, LEAP).
• Developing Database (Ms. SQL, My SQL).
• Developing RPA (Robotic Process Automation).
• Tableau or BI Dashboard creation.
• Data Analytic (Business Analyst).
• Manufacturing Dashboard.
Requirements
• Digital & Analytics Projects.
• Advanced analytics through AI & Gen AI.
• Experience Lean Office deployment through digital solutions.
• Experience Lead Continuous Improvement in the factory.
• Computer Science, Computer Engineering, Mechatronics, Industrial Automation.
• Above 5-8 years in Digital Transformation & Process Automations.
• Analytics Development & Deployment.
• Artificial Intelligence & Generative Artificial Intelligence.
• Web Application Development & Database Management.
• Robotic Process Automation, Business Intelligence.
• Enterprise Resource Planning (ERP) & Manufacturing Execution System (MES).
• Bachelor’s degree in engineering, Data Science, Computer Science, or a related field; master’s degree preferred.
• Proven experience (5+ years) in digital transformation, data analytics, or a related role within manufacturing or industrial operations.
• Strong understanding of manufacturing processes and operational excellence methodologies (Lean, Six Sigma, etc.).
• Proficiency in data analytics tools (e.g., Tableau, Power BI, Python, R) and enterprise software solutions (e.g., ERP, MES).