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A leading manufacturing company in San Luis Potosí is seeking an MES Specialist to manage and optimize its Manufacturing Execution System across facilities. This role requires expertise in MES platforms, data analytics, and ERP integration, with responsibilities including system support, dashboard creation, and ensuring data connectivity. Candidates should possess a Bachelor’s Degree and have 2-4 years of experience in a manufacturing setting. This is an exciting opportunity for those looking to advance smart manufacturing practices.
The MES Specialist is responsible for the administration, support, and optimization of the Manufacturing Execution System (MES) across multiple facilities. This role also involves analyzing MES-generated data to provide insights that improve production efficiency, quality, and overall equipment effectiveness (OEE). The position requires strong technical expertise in MES platforms, data analytics, ERP/MES integration, and industrial automation.
Manage and support the MES platform to ensure operational continuity across production environments.
Perform system monitoring, apply software patches, and troubleshoot MES issues while coordinating with IT and automation teams to integrate MES with ERP (e.g., Oracle/SAP) and shop floor systems (PLCs, SCADA).
To minimize production disruptions, support real-time data flows, and ensure secure, stable MES performance aligned with manufacturing schedules.
Build and maintain meaningful reports and dashboards to visualize manufacturing performance and identify process inefficiencies.
Extract, clean, and analyze MES data using tools like Power BI, Tableau, or QlikView; collaborate with production and quality teams to define and track KPIs such as OEE, cycle times, and defects.
To enable data-driven decision-making, improve production outcomes, and foster continuous improvement across manufacturing operations.
Ensure accurate and secure connectivity between MES and plant-level automation and control systems.
Configure and support protocols (OPC-UA, MQTT, Modbus), collaborate with cybersecurity and IT teams on network segmentation, and validate data mapping between MES, PLCs, SCADA, and ERP.
To maintain data integrity, enable real-time production insights, and comply with industrial and cybersecurity standards for system integration.
Enhance MES functionality to support Industry 4.0 initiatives and modern manufacturing practices.
Identify automation and optimization opportunities, participate in projects involving IIoT, machine learning, digital twins, or edge computing, and configure MES to support advanced workflows.
To boost production efficiency, improve quality, reduce manual work, and align MES with long-term Smart Factory strategies