Digital Twin Specialist | Construction

Key Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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 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