Digital Twin Consultant / AI & Data - Experience: 8–12 years Duration: 12 month TORONTO, ON Role Overview We are looking for a Digital Twin Consultant to support the development and evolution of Digital Twin capabilities, with a strong focus on data, AI, data sharing and business impact. The candidate should be able to understand the Digital Twin ecosystem end-to-end, assess upstream and downstream data dependencies, and translate business requirements into practical data and AI-driven solutions.

Key Responsibilities Work with business and technology stakeholders to define Digital Twin use cases and requirements. Understand and map upstream and downstream systems, data sources and dependencies. Assess how data availability, quality and sharing impact Digital Twin outcomes.

Identify opportunities to leverage AI/ML and GenAI within Digital Twin use cases. Define data requirements, data flows and data-sharing mechanisms supporting the Digital Twin. Evaluate the impact of Digital Twin initiatives across business processes and downstream consumers.

Work closely with data,



AI and technology teams to translate the Digital Twin vision into actionable solutions. Support consulting discussions, solution definition and stakeholder presentations. Identify opportunities for continuous improvement and expansion of Digital Twin capabilities.

Mandatory Skills

Strong understanding of Digital Twin concepts and architecture Experience in data strategy, data flows and data sharing Robust understanding of upstream/downstream system dependencies Experience in AI/ML use cases and their application to business problems Strong consulting and stakeholder-management skills Ability to translate business requirements into data/AI-driven solutions Excellent communication and presentation skills Good to Have Experience with GenAI / Agentic AI IoT / connected systems / real-time data experience Experience with enterprise data platforms Experience working with consulting organizations / transformation programs

📌 Digital Twin Consultant (Toronto)
🏢 TEKGENCE
📍 Toronto