Job Description

The Practice- A Brief Sketch:

Digital Thread and Connected Twins are part of Accenture's Supply Chain and Engineering Consulting. The practice helps clients connect product, process and supply network decisions across the concept-to-service journey, linking strategy, operations, data and AI to improve resilience, efficiency and business performance.

You'll work with global clients to define the value case, roadmap and operating priorities for connected value chains. The work spans product development, engineering, manufacturing, planning, quality, logistics and service, with a focus on practical use cases that improve visibility, traceability, scenario testing and decision-making.

Digital Thread

Digital Thread focuses on establishing a connected data and process foundation across the concept-to-service value chain. It links information, decisions and workflows across engineering, manufacturing, supply chain and service functions to create a common operational view, improve traceability and enable real-time, data-driven decision making.

Digital Thread strategies and transformation roadmaps that connect product, process and operational data across PLM, ERP, MES, CRM and supply chain ecosystems.
Digital Thread use cases involving connected BOMs, product traceability, engineering change management, configuration management, quality visibility and concept-to-service process integration.
Current-state assessments and future-state operating model design that improve end-to-end visibility, data continuity, operational responsiveness and decision-making across the value chain.

Connected Twins

Connected Twins build on the Digital Thread foundation by creating virtual representations of products, assets, factories, warehouses, facilities, processes and supply networks. These twins enable organizations to simulate scenarios, evaluate outcomes, test operational decisions and understand performance before implementing changes in the physical world.

Connected Twin use cases spanning products, manufacturing operations, warehouses, facilities, logistics networks and end-to-end supply chains.
Simulation-led decision making through scenario modelling, disruption analysis, capacity planning, network optimization, inventory strategies and operational risk assessment.
Process architecture and future-state workflow design using process simulators, AI copilots, agentic decision-support frameworks and digital representations of physical operations in collaboration with senior business stakeholders.