Digital Twin Lead: IoT, AI & Real-Time Operations Modeling

Stradigi; Egypt (AR); On-site; USD 130,000 - 180,000; Full time

Job summary

Stradigi seeks a Digital Twin Lead to design, develop, and manage digital twin solutions that simulate real-world systems in a virtual environment. This role bridges OT and IT by integrating IoT, analytics, and 3D modeling to enable predictive insights, real-time monitoring, and optimized decision-making.

The Digital Twin Lead works with engineering, data science, and operations teams to drive strategy from concept to deployment and ensure scalable, compliant data practices.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related field.
• 5+ years in digital transformation, IoT, or simulation roles.
• Hands-on experience with digital twin platforms and tools.
• Strong understanding of IIoT and real-time data systems.

Responsibilities

• Define the digital twin architecture and roadmap aligned with enterprise goals.
• Lead cross-functional teams through the design and implementation lifecycle.
• Integrate IoT data streams, CAD/3D models, and analytics.
• Monitor and optimize digital twin performance with AI/ML models.
• Stay current with advancements and evaluate new platforms/tools.

Skills

Digital twin architecture

IoT data integration

3D modeling

Systems thinking

Cloud infrastructure

Data science

Agile/DevOps

Cyber-physical modeling

Predictive maintenance

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related field

Tools

Azure Digital Twins

Siemens NX

PTC ThingWorx

Ansys Twin Builder

MATLAB/Simulink

Python

R

OPC UA

MQTT

Job description

Stradigi seeks a Digital Twin Lead to design, develop, and manage digital twin solutions that simulate real-world systems in a virtual environment. This role bridges OT and IT by integrating IoT, analytics, and 3D modeling to enable predictive insights, real-time monitoring, and optimized decision-making.

The Digital Twin Lead works with engineering, data science, and operations teams to drive strategy from concept to deployment and ensure scalable, compliant data practices.