IT Manufacturing Systems Architect / MES Integration Lead

Overview

The ideal candidate will have strong experience with Manufacturing Execution Systems (MES), manufacturing analytics, Overall Equipment Effectiveness (OEE), factory automation, industrial controls, and manufacturing data platforms. The role will help establish scalable solutions for production visibility, product traceability, quality management, equipment performance, and operational excellence across manufacturing environments.

Responsibilities

• Define the manufacturing systems and IT architecture supporting production, quality, maintenance, traceability, and supply chain operations.
  
• Lead MES strategy, implementation, integration, enhancement, and manufacturing systems standardization initiatives.
  
• Partner with manufacturing, engineering, quality, operations, supply chain, and IT teams to translate business requirements into scalable technology solutions.
  
• Establish manufacturing data standards, governance, master data, and integration patterns across production systems.
  
• Design and support manufacturing data warehouse and analytics initiatives.
  
• Enable end-to-end product and component traceability across materials, processes, equipment, operators, test results, and finished products.
  
• Support quality systems and analytics, including nonconformance, defects, rework, root-cause analysis, and process capability.
  
• Integrate MES and manufacturing systems with ERP, PLM, QMS, WMS, TMS, data warehouses, and enterprise analytics platforms.
  
• Evaluate and integrate factory automation technologies, including SCADA, PLCs, robotics, industrial equipment, sensors, and IIoT platforms.
  
• Define real-time and batch data integration solutions between shop-floor systems and enterprise applications.
  
• Support technology roadmaps for manufacturing facilities, production lines, and enterprise manufacturing standardization efforts.
  
• Establish common manufacturing processes, data models, interfaces, and reporting standards across manufacturing environments.
  
• Lead vendor evaluations, solution design, implementation planning, testing, deployment, and production support.
  
• Ensure manufacturing systems meet requirements for cybersecurity, availability, scalability, auditability, and regulatory compliance.
  
• Develop project plans, architecture documentation, data flow diagrams, integration specifications, and operational procedures.
  
• Drive continuous improvement through automation, digitization, analytics, and standardization of manufacturing processes.
  

Required Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, Manufacturing Engineering, or a related field.
  
• 10+ years of experience in Manufacturing IT, MES, industrial systems, systems integration, or a related discipline.
  
• Strong understanding of manufacturing analytics and OEE metrics, including availability, performance, quality, downtime, yield, and utilization.
  
• Experience designing or implementing manufacturing data warehouses, data lakes, operational data stores, or analytics platforms.
  
• Experience integrating MES with ERP, PLM, QMS, WMS, and enterprise data platforms.
  
• Knowledge of manufacturing data models, ISA-95 concepts, equipment hierarchies, production orders, routings, work instructions, genealogy, and traceability.
  
• Experience with data integration technologies, APIs, event-driven integration, ETL/ELT, SQL, and industrial data protocols.
  
• Strong communication, stakeholder management, analytical, and problem-solving skills.
  

Preferred Qualifications

• Experience with OPC UA, MQTT, Modbus, REST APIs, message brokers, or similar industrial integration technologies.
  
• Knowledge of manufacturing quality standards, statistical process control, process capability, and corrective action processes.
  
• Experience with cloud platforms such as Microsoft Azure, AWS, or Oracle Cloud.
  
• Experience with Power BI, Tableau, Snowflake, Databricks, Microsoft Fabric, or similar analytics and data platforms.
  
• Familiarity with cybersecurity standards and practices for operational technology and industrial control systems.
  
• Experience leading MES standardization, template design, manufacturing system deployments, or digital transformation programs.
  
• Project management experience, including working with system integrators and technology vendors.