Manager - Enterprise AI Strategy for Supply Chain

Accenture India Private Limited; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Accenture India Private Limited in Bengaluru seeks a Manager for Enterprise AI Value Strategy (EVS) to shape AI-enabled supply chain value propositions for clients. You’ll blend supply chain expertise with enterprise AI concepts, translating complex ideas into actionable roadmaps and BRD/FRD-style documents.

Lead client workshops, craft strategy decks, and partner with cross-functional teams to define ROI, timelines, and AI reference architectures for supply chain transformations.

Qualifications

• Experience blending supply chain domain knowledge with AI strategy.
• Ability to translate complex AI concepts into actionable plans.
• Strong client facilitation and documentation skills.

Responsibilities

• Identify AI use cases and craft strategy for supply chain domains.
• Lead client workshops and develop strategy decks for executives.
• Contribute to AI reference architectures and ROI/timeline analyses.

Skills

Enterprise AI

Supply chain knowledge

Client engagement

Tools

Design Thinking

BRD/FRD articulation

Job description

I&P GN - SC&E – Manager - Enterprise AI Value Strategy-EVS

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.