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MES Integration Lead

Dataflix Inc.

Fremont, California • Today

Easy Apply

Full-time

Depends on Experience

System Integration Lead

Apple, Inc.

Cupertino, California • Today

Full-time

Lead System Integration Engineer

Form Energy

Berkeley, California • Today

Full-time

USD 170,246.00 - 212,813.00 per year

Lead Integration Engineer

AllSTEM Connections

San Francisco, California • Today

Full-time

USD 153,900.00 - 183,000.00 per year

Lead Integration Engineer

Software Guidance & Assistance

San Francisco, California • Today

Contract

USD 74.00 - 88.00 per hour

IC Package Integration Lead

Apple, Inc.

San Francisco, California • Today

Full-time

Senior Enterprise Integration SME / Integration Reliability Lead

Randstad Digital

Remote or Kansas City, Missouri • Today

Contract

USD75 - USD90

Oracle Integration (OIC) Lead

HPTech Inc.

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

Infrastructure Integrations Lead

Saicon Consultants Inc.

Hybrid in Campbell, California • 30+d ago

Easy Apply

Contract, Third Party

Depends on Experience

Murex Integration Lead Expert

Luxoft

Remote • Today

Full-time

Integration QA Lead

Integral

Remote or Tysons, Virginia • Today

Full-time

USD 135,000.00 - 140,000.00 per year

Integration Lead

Integral

Remote or Tysons, Virginia • Today

Full-time

USD 150,000.00 - 160,000.00 per year

Lead Data Integration Engineer

EPAM Systems

Remote • Today

Full-time

Oracle EPM Integration Lead

CACI International, Inc.

Remote • Today

Full-time

USD 82,100.00 - 172,400.00 per year

Workday Integration & Technical Lead

Talent Groups

Remote • 8d ago

Easy Apply

Third Party, Contract

Lead Integrations Architect

Cushman & Wakefield

Remote • Today

Full-time

USD 153,000.00 - 180,000.00 per year

Senior FME Data Integration Engineer

Kforce Technology Staffing

Remote or Juno Beach, Florida • Today

Contract

$60.00 - $67.75 hourly

Lead Engineer, Integration

Dutch Bros

Remote or Tempe, Arizona • Today

Full-time

Test Integration Engineering Ops Lead

hyve solutions

Fremont, California • Today

Full-time

Workday Integration Lead - AMS

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 135,000.00 - 165,000.00 per year

Lead Service Integration Engineer

EPAM Systems

Remote • Today

Full-time

Infrastructure Integration Lead (M&A)

Cadence Design Systems Inc

San Jose, California • Today

Full-time

USD 136,500.00 - 253,500.00 per year

Job Details

Skills

MES
ERP
Data warehouse

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1cc9fd
Position Id: 9093807
Posted 30+ days ago

Fitment

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Job Details

Skills

MES
ERP
Data warehouse

Summary

Overview

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.

Dice Id: RTX1cc9fd
Position Id: 9093807
Posted 30+ days ago

Fitment