Digital Twin Specialist | Construction

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

Job Description: The Digital Twin Lead is responsible for designing, developing, and managing digital twin solutions that simulate real-world systems, assets, or processes in a virtual environment. This role bridges the gap between operational technology (OT) and information technology (IT) by integrating IoT, analytics, and 3D modeling to enable predictive insights, real-time monitoring, and optimized decision-making. The Digital Twin Lead works closely with engineering, data science, and operations teams to lead digital twin strategies from concept to deployment. The Digital Twin Lead is responsible for designing, developing, and managing digital twin solutions that simulate real-world systems, assets, or processes in a virtual environment. This role bridges the gap between operational technology (OT) and information technology (IT) by integrating IoT, analytics, and 3D modeling to enable predictive insights, real-time monitoring, and optimized decision-making. The Digital Twin Lead works closely with engineering, data science, and operations teams to lead digital twin strategies from concept to deployment.

Key Responsibilities

• Strategy & Leadership:
  • Define the digital twin architecture and roadmap aligned with enterprise goals.
  • Lead cross-functional teams through the design and implementation lifecycle.
  • Collaborate with business and technical stakeholders to identify use cases and opportunities.
• Solution Development:
  • Develop and implement digital twin models for assets, systems, or processes.
  • Integrate IoT data streams, CAD/3D models, real-time telemetry, and analytics.
  • Use simulation and modeling techniques to represent real-world behavior digitally.
• Integration & Data Management:
  • Integrate digital twins with IoT platforms, SCADA, ERP, PLM, and other enterprise systems.
  • Manage data flow, connectivity, and synchronization between physical and virtual entities.
  • Ensure data integrity, scalability, and compliance with data governance policies.
• Monitoring & Optimization:
  • Enable real-time monitoring, diagnostics, and predictive analytics through digital twins.
  • Implement AI/ML models for anomaly detection, scenario simulation, and optimization.
  • Analyze KPIs and system behavior to recommend actionable improvements.
• Innovation & R&D:
  • Stay current with advancements in digital twin technologies and best practices.
  • Evaluate and implement emerging platforms, tools, and methodologies.

Required Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related field.
• 5+ years of experience in digital transformation, IoT, or simulation-related roles.
• Hands-on experience with digital twin platforms and tools.
• Strong understanding of systems modeling, industrial IoT (IIoT), and real-time data systems.
• Preferred certifications:
  • Digital Twin Consortium, Azure IoT certifications, or similar
  • Project management (PMP, Agile) or architecture certifications (TOGAF) are a plus

Desired Traits

• Strong analytical and conceptual thinking.
• Ability to simplify complex systems and communicate ideas effectively.
• Collaborative leadership and cross-disciplinary coordination.
• Innovation mindset with a passion for digital transformation.
• Detail-oriented with a big-picture strategic approach.

Tools & Platforms

• Digital Twin Platforms: Azure Digital Twins, Siemens NX, PTC ThingWorx, Ansys Twin Builder, GE Predix, Dassault Systèmes
• IoT & Edge Platforms: Azure IoT Hub, AWS IoT, Google Cloud IoT Core
• 3D Modeling & CAD: AutoCAD, SolidWorks, Unity, Unreal Engine
• Simulation & Analytics: MATLAB/Simulink, AnyLogic, Python, R
• Integration Tools: APIs, OPC UA, MQTT, REST, SCADA systems
• Data Platforms: Azure Data Lake, Azure Synapse, Snowflake, Time Series Insights

Key Skills

• Digital twin architecture and lifecycle management
• IoT data integration and sensor networks
• 3D modeling and simulation
• Systems thinking and real-time analytics
• Cloud infrastructure (Azure, AWS, GCP)
• Data science and machine learning
• Agile/DevOps methodologies
• Cyber-physical system modeling
• Predictive maintenance and operational efficiency