Role: Digital Twin SME / Enterprise Digital Twin Architect

Experience: 12-18 Years

Location: Hyderabad, Bangalore, Chennai, Delhi

Key Responsibilities

Role Summary

Lead the design, assessment, governance, and evolution of Network Digital Twin capabilities across telecom and network engineering domains

Drive Digital Twin maturity assessments, data modelling, AI enablement, and integration of multi-domain data sources to support intelligent planning, decision support, operational visibility, and automation initiatives.

Key Responsibilities

- Define and govern Enterprise Digital Twin architecture, frameworks, roadmaps, and operating models.
- Assess current Digital Twin maturity and define target-state capabilities aligned with industry-recognized practices and capability models.
- Design Digital Twin data models covering assets, services, resources, dependencies, topology, telemetry, and operational states.
- Integrate data across enterprise platforms, infrastructure environments, service-management platforms, inventory systems, monitoring solutions, cloud environments, and operational systems.
- Define data governance standards, metadata models, lineage controls, data quality measures, interoperability requirements, and information management practices.
- Support AI, intelligent automation, orchestration, predictive analytics, and decision-support use cases enabled through Digital Twin capabilities.
- Conduct capability and maturity assessments and develop improvement roadmaps.
- Collaborate with architecture, engineering, operations, cloud, data, security, and AI teams to establish Digital Twin adoption strategies.
- Define KPIs, success measures,



and value realization frameworks for Digital Twin initiatives.
- Lead architecture reviews, governance forums, capability assessments, and stakeholder workshops.
- Recommend technology platforms, graph models, semantic models, integration approaches, and Digital Twin operating principles.
- Ensure Digital Twin capabilities support secure, scalable, explainable, and reliable AI-enabled operations.

Essential Skills

- Robust expertise in Telecom Network and implementation.
- Strong expertise in Enterprise Digital Twin architecture, design, and implementation.
- Deep understanding of enterprise architecture principles, governance frameworks, and maturity assessment methodologies.
- Experience conducting Digital Twin, automation, or operational capability maturity assessments.
- Expertise in Digital Twin governance models, operating frameworks, and adoption strategies.
- Strong experience with graph databases, knowledge graphs, semantic modelling, ontology design, topology modelling, and asset and inventory data models.
- Experience designing and integrating Digital Twin platforms and enterprise data ecosystems.
- Knowledge of AI/ML, Generative AI, Intelligent Agents, AIOps, automation, orchestration, and predictive analytics.
- Strong understanding of Data Mesh, Data Fabric, metadata management, lineage, and data quality frameworks.
- Familiarity with cloud technologies, API architectures, event-driven integration patterns, and enterprise data integration frameworks.
- Experience developing enterprise Digital Twin adoption strategies supporting automation and AI initiatives.

Strong stakeholder management, facilitation, governance, and advisory skills.

📌 Enterprise Digital Twin Architect (Hyderabad)
🏢 Tata Consultancy Services
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