Manufacturing Systems & Factory Integration - Snr/Technical Project Manager (Industry 4.0)

Date Posted:

2025-12-14

Country:

Singapore

Location:

11 Changi North Rise, Singapore

Position Role Type:

Unspecified

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 Singapore’s smart manufacturing ecosystem.

This leader architect’s 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 ERP–MES–PLM–APS.

Qualifications & Skills

Education

• Bachelor’s or Master’s in Computer Engineering, Electrical Engineering, Software Engineering, Mechatronics, Information Systems, or related disciplines.

Experience

• 10–15 years in MES/SCADA/IIoT, OT–IT integration, manufacturing systems engineering, or industrial digitalization.

• Proven track record of leading engineering or digital teams for 3–5 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#, Node.js, 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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