Enterprise AI Strategy Consultant - Supply Chain

Accenture India Private Limited; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Accenture India Private Limited in Bengaluru seeks a consultant who will help shape AI-powered supply chain strategies and use cases for clients. You will work across demand planning, supply planning, manufacturing, and procurement, translating AI concepts into actionable plans and BRDs.

The role blends supply chain knowledge with enterprise AI literacy, data foundations, and advisory support to drive ROI and transformation timelines for client engagements.

Qualifications

• Understanding of supply chain concepts and processes.
• Familiarity with enterprise AI concepts and data foundations.
• Experience supporting client workshops and requirement gathering.

Responsibilities

• Identify AI use cases across supply chain domains and map to future states.
• Prepare client-facing materials, roadmaps, and strategy decks for leaders.
• Support data and AI foundations work, including data pipelines and AI tooling references.

Job description

YOU ARE

You are curious about how artificial intelligence is reshaping the way global supply chains are designed, planned, and operated. You understand that the future of supply chain is not just about automation — it's about intelligent systems that learn, adapt, and collaborate. You bring a blend of functional supply chain knowledge and a growing fluency in enterprise AI concepts, and you're energized by the challenge of turning that combination into tangible value for clients. You're comfortable moving between structured analysis and open-ended problem-solving. You ask good questions, synthesize complex information quickly, and communicate your thinking clearly — whether you're mapping a demand‑planning process, drafting a functional specification, or helping a client imagine what an AI‑powered supply chain could look like. You're eager to grow, take direction well, and understand that great consulting outcomes are built on meticulous preparation and disciplined thinking.

THE WORK

Utilize relevant AI tools across all tasks and deliverable creation, including the creation of agents and other tools to help facilitate: Supply Chain AI Strategy & Use Case Development Identify, assess, and prioritize AI use cases across supply chain domains — Demand Planning, Supply Planning, Manufacturing, Procurement, Aftermarket, and Fulfillment — by mapping current-state processes to AI-enabled future states. Support the development of Business Requirements Documents (BRDs) and Functional Requirements Documents (FRDs) grounded in supply chain functional knowledge and client-specific context. Contribute to AI reference architecture designs tailored for supply chain environments, illustrating how agentic AI components interact with enterprise data platforms, ERP systems, and planning tools. Assist in crafting AI value cases and business cases that articulate ROI, risk, and transformation timelines for supply chain-specific AI initiatives.

Client Engagement & Advisory Support

Support client workshops and discovery sessions by preparing materials, capturing requirements, and synthesizing stakeholder inputs across supply chain functions. Prepare client-facing presentations, roadmaps, and strategy decks that translate AI and data concepts into accessible narratives for supply chain and operations leaders. Apply Design Thinking principles to facilitate structured problem definition and solution ideation sessions with client teams. Maintain and evolve the team's repository of supply chain AI frameworks, benchmarks, and industry case examples.

Data & AI Foundations

Develop foundational fluency in enterprise data concepts — data products, data pipelines, and agentic AI hierarchies — as they apply to supply chain planning and execution systems. Support data analysis tasks to surface insights from supply chain datasets (e.g., forecast accuracy, inventory performance, supplier scorecards) in service of client recommendations. Explore and apply prompt engineering and RAG (Retrieval-Augmented Generation) techniques to build or enhance AI tools that support supply chain advisory workflows. Complete assigned AI literacy and continuous-learning modules, contributing to a culture of applied innovation within the team.