Level 11: GN - SC&E - PRH - RDE – Analyst
Management Consulting Analyst – Industry & Workflow Advisor / Value Architect
Accenture Strategy and Consulting
Business Unit: Strategy & Consulting, Global Network | Areas of Work: Reinvention Deployed Engineering (RDE) | Level: Analyst | Location: Gurugram, Mumbai, Pune, Bengaluru, Chennai, Hyderabad, Kolkata | Overall Relevant Exp: 1-4 years
As part of Accenture’s Reinvention Deployed Engineering (RDE) organization within Strategy & Consulting, you will work in a collocated pod that turns AI ambition into measurable business value — taking solutions from problem definition to a live, scalable outcome.
You are a process-driven, industry-embedded advisor. You redesign how businesses get work done by combining AI, automation, and human expertise into smarter, more efficient processes — working at the intersection of business strategy and technology. You govern end-to-end enterprise workflows, create detailed blueprints (architectural plans, system connections, and workflow designs), define where people stay in control and where AI takes over, and translate complex business processes into AI-ready, executable designs for engineering and platform teams. The work demands hands-on design judgment that goes beyond high-level recommendations — turning strategy into concrete plans implementation teams can execute, with an agent-first mindset.
Roles & Responsibilities
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Owns end-to-end workflows across functions, systems, and data, reflecting how the business truly operates.
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Identifies where AI, automation, and orchestration can augment or replace human steps — and where human judgment must stay in the loop.
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Defines workflow logic, states, handoffs, and exception paths so each design is unambiguous and ready to build.
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Applies industry and regulatory knowledge to keep workflows compliant, realistic, and aligned to domain operating models.
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Translates client processes into clear, structured requirements that engineers and architects can build against.
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Supports value identification and quantification — gathers baseline data and helps define KPIs and success metrics.
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Supports business development and client workshops — conducts research and prepares materials that convey the solution and its business impact.
Must-have skills
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Deep process design and architecture expertise — Business Process Strategy, Business Process Modeling (BPM / BPMN), Business Process Design, End-to-End Process Architecture, Enterprise Process Mapping, Workflow Analysis & Design, Workflow Integration, Cross-Functional Process Integration, and AI-Ready / Automation-Ready Process Design.
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Hands-on Process Transformation and Digital Transformation experience across complex enterprise environments.
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Command of core Business Architecture techniques — Operating Model Design, Value Chain Analysis, Customer Journey Mapping, and Business Capability Modelling.
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Industry & Functional Process Expertise, Domain-Specific Operating Models, and Industry Value Stream Knowledge — including end-to-end workflows such as Order to Cash, Record to Report, Hire to Retire, and Source to Pay.
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Strong native AI fluency — NLP, LLMs, RAG, Machine Learning, and Human-Machine Interaction (HMI), including agentic AI and multi-agent orchestration.
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Hands-on experience working with LLMs (e.g., OpenAI, Claude, Gemini) to build working prototypes, dashboards, and solutions that address real enterprise problems, with attention to token cost and performance.
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Strong communication, interpersonal, presentation, and storytelling-with-data skills, combined with analytical thinking, cross-cultural competence, and the ability to solve complex business problems and deliver client delight.
Desirable skills
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Experience with enterprise and AI platforms such as SAP, Oracle, PEGA, Salesforce, Workday, IBM, leading AI model providers (e.g., OpenAI, Anthropic), and the major cloud AI stacks (Microsoft Azure AI, AWS, or Google Vertex AI).
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Industry domain depth in one or more sectors such as Banking, Insurance, Health, Utilities, Manufacturing, Retail, or Telco.
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Familiarity with AI & Data Solution Architecture and AI-enabled operating models.
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Experience implementing workflow automation and robotic process automation (RPA) solutions using tools such as UiPath, Automation Anywhere, or Microsoft Power Automate.
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Comfort with “vibe coding” — rapidly prototyping working software using AI coding assistants.
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Product management experience spanning discovery, scoping, and delivery.
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Process discovery and analysis using process-mining tools such as Celonis or Signavio to uncover inefficiencies and automation opportunities; Lean Six Sigma certification a plus.
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Agile / Scrum / hybrid delivery with sound SDLC governance; a relevant AI or Agentic AI certification is a plus.
