I&P-GN-SC&E- Consultant-VCR-Connected Twins

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.  Bring your best skills forward to excel in the role:   Strong analytical skills to reach clear-cut, methodical solutions  Experience working with low-code/no-code or agentic orchestration platforms  Ability to solve complex business problems and deliver clients delight  Excellent communication, interpersonal and presentation skills    Storytelling with data and communicating AI/automation impact to non-technical stakeholders  Cross-cultural competence with an ability to thrive in a dynamic environment  Ability to lead cross-functional pods integrating data scientists, process analysts, and automation engineers  Strong team-management skills     Your experience counts!   MBA from Tier 1 B-school    3-6 years of Hands-on experience developing digital twin or simulation-based prototypes to model physical products, assets, operations or supply networks, enabling scenario analysis, disruption testing and performance optimization  Experience working on process improvement, operating model transformation, supply chain planning, manufacturing, logistics, engineering, digital transformation, data, analytics, GenAI or AI-enabled business transformation program  Certified expertise as functional value architect for process discovery and mining tools like Celonis, Signavio, Power automate process mining  Experience conceptualizing and deploying agentic or AI-assisted workflows for process optimization  Experience working with GenAI, LLMs and agentic AI solutions, including prompt engineering, model orchestration, AI copilots, multi-agent workflows and LLM-based insight generation  Exposure to Digital Thread, Digital Twin, Connected Twin, control tower, supply network visibility, simulation, IoT-enabled operations, product lifecycle management, manufacturing operations, scenario planning, network modelling or supply chain decision intelligence programs is preferred  Industry domain experience is desirable in industries like Manufacturing, Consumer Goods & Retail, Life Sciences, Telecom, BFSI, Oil & Gas, Energy & Utilities, or High-Tech industries  Experience developing client-ready presentations, process maps, business cases and use-case documents, with a strong understanding of responsible AI/GenAI governance and the ability to communicate complex concepts effectively across business and technology stakeholders    Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. 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