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The technical leader for Manufacturing Systems leads the teams responsible for MES SCADA IIoT OT networks factory integration and data-engineering platforms that enable Collins Singapores smart manufacturing ecosystem.

This leader architects digital factory infrastructure to support autonomous machining real-time visibility predictive analytics digital twins and the manufacturing digital thread. The role also includes major technical project management responsibilities in engineering digitalization advanced manufacturing transformation new parts & process development and innovation-driven capability building.

The leader shall collaborates across Operations Engineering Quality Materials IT and global RTX Digital teams to deploy secure scalable integrated systems that prepare Collins for the Factory of the Future.

Roles & Responsibilities

1. Factory Systems & Digital Architecture Ownership

• Define the digital manufacturing systems strategy that supports Lights-Out Manufacturing and Factory of the Future.

• Lead architecture for MES SCADA historian IIoT OT network infrastructure edge devices and secure system integrations.

• Develop frameworks for data governance traceability equipment connectivity and real-time production intelligence.

2. Team Leadership & Capability Development

• Lead cross functional team of MES engineers SCADA/IIoT specialists data engineers and OT/IT integration experts.

• Build competency in MES development scripting/automation manufacturing data modelling cloud/on-prem systems and digital twin simulation.

• Establish best practices for software engineering version control cybersecurity and scalable system deployment.

3. Factory System Integration & Connectivity

• Lead end-to-end integration of MES/SCADA/IIoT with:

  • CNC machining centres

  • ERP PLM and APS systems

  • Sensors robots PLCs gateways

  • Tool management and traceability systems

  • Quality and inspection databases

• Ensure system uptime data integrity redundancy and cybersecurity compliance across all OT infrastructure.

4. IIoT Data Engineering & Digital Factory Enablement

• Deploy IIoT solutions for condition monitoring predictive maintenance energy monitoring and digital twins.

• Build structured data pipelines from machines robots PLCs sensors and historian systems.

• Enable analytics through dashboards KPIs OEE models anomaly detection and event-driven manufacturing insights.

• Explore ML/AI applications reinforcement learning and simulation-driven planning to enable future autonomous operations.

5. Program Management & Governance

• Lead digital transformation and factory integration projects from requirements to deployment.

• Manage budgets roadmaps cybersecurity controls documentation and system validation.

• Ensure compliance with Collins and RTX digital governance OT security standards and data protection policies.

6. Continuous Improvement & Best Practices

• Benchmark leading digital factory and MES practices from aerospace and advanced industries.

• Improve reliability data latency and system performance to support high-automation environments.

• Support enterprise-wide digital thread integration across ERPMESPLMAPS.

Qualifications & Skills

Education

• Bachelors or Masters in Computer Engineering Electrical Engineering Software Engineering Mechatronics Information Systems or related disciplines.

Experience

• 1015 years in MES/SCADA/IIoT OTIT integration manufacturing systems engineering or industrial digitalization.

• Proven track record of leading engineering or digital teams for 35 years.

• Strong experience in complex system integration within machining or automation-heavy environments.

Technical Skills

• Hands-on experience with MES (Camstar Apriso Ignition Siemens) SCADA historian IIoT (ThingWorx Kepware HiveMQ etc.).

• Proficiency in SQL Python C# scripting ETL pipelines and data modelling.

• Experience with digital twin/simulation tools (Tecnomatix Plant Simulation FlexSim).

• Strong understanding of OPC UA MQTT APIs networking OT cybersecurity and industrial connectivity.

• Experience integrating MES with ERP/PLM systems and building real-time dashboards.

Leadership Skills

• Strong team leadership talent development vendor management and cross-functional collaboration skills.

• Ability to lead large-scale digital transformation programs.

• Excellent communication and stakeholder alignment across operations and global digital teams.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity color religion gender sexual orientation or identity national origin age disability protected veteran status or any other characteristic protected by law.

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