Role Purpose :

The Digital Twin Architect is responsible for designing, governing, and scaling enterprise-wide digital twin ecosystems that integrate IoT, AI/ML, simulation, and agentic workflows.

This role defines the reference architecture, ensures interoperability with ERP/CRM/SCM platforms, and drives strategic alignment with business objectives across Audit, Tax, Advisory, and ESG domains.

Key Responsibilities :

Architecture & Design :

- Define digital twin reference architectures for assets, processes, and people.

- Build frameworks integrating IoT, edge computing, cloud platforms (Azure, AWS, GCP), and agentic AI.

- Ensure scalability, resilience, and cybersecurity compliance (Zero Trust, Confidential AI).

Integration & Platforms :

- Align digital twin platforms with ERP (SAP, Oracle), PLM, MES, and KDN Data Ocean.

- Design APIs, event-driven architectures, and real-time data pipelines using Kafka, Spark, and MLOps frameworks.

- Enable Agent Factory compatibility for simulation-driven decision support.

Governance & Standards :

- Establish data lineage, quality, and simulation fidelity standards.

- Define governance for model lifecycle, AI explainability, and compliance.

- Lead vendor/partner strategy with Siemens, Dassault, PTC, and hyperscaler platforms.

Strategic Enablement :

- Partner with CXOs, domain leads, and global squads to define business transformation roadmaps (e.g., supply chain optimization, workforce digital twins, ESG reporting).

- Drive value realization frameworks (cost reduction, risk mitigation, productivity uplift).

Skills & Qualifications :

- 12+ years in enterprise architecture, with 5+ in digital twin/IoT/Industry 4.0.

- Strong expertise in cloud (Azure Digital Twins, AWS IoT TwinMaker, GCP), agentic AI, and simulation (Ansys, AnyLogic, Unity/Unreal).

- Knowledge of 3D/VR/AR integration, graph/vector databases, and AI orchestration frameworks.

- Proven leadership in multi-cloud strategy, governance, and global rollout