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Salary
≈ $24k – $56k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 25, 2026. Accenture scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.

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.

BASIC (REQUIRED) QUALIFICATIONS

  • 1.5- 4years of experience (co-ops, or coursework) in supply chain management, operations, business analysis, or a related field.

  • Demonstrated functional understanding of at least one supply chain domain: Demand Planning, Supply Planning, Manufacturing, Procurement, Aftermarket, or Fulfillment / Logistics.

  • Familiarity with core AI concepts - including Agentic AI fundamentals, AI use case identification, and AI reference architecture at a conceptual level.

  • Experience writing or contributing to structured business documents such as process maps, requirements documents, or functional specifications - in an academic or professional setting.

  • Demonstrated ability to work with and synthesize data into clear, structured insights or recommendations.

  • Experience using AI tools (e.g., GenAI platforms, AI-assisted research or productivity tools) in an academic or professional context.

  • Strong written and verbal communication skills with an ability to explain complex concepts clearly to non-technical audiences.

PREFERRED QUALIFICATIONS

  • MBA or Master's degree in Supply Chain, Business Analytics, Information Systems, or a related discipline.

  • Coursework, certifications, or self-directed learning in AI, machine learning, or data platforms (e.g., cloud certifications, AI/ML specializations).

  • Exposure to consulting environments through internships, case competitions, or strategy project work - with demonstrated ability to structure problems and communicate recommendations.

  • Familiarity with enterprise planning or ERP platforms (e.g., SAP IBP, o9, Kinaxis, Blue Yonder, Oracle SCM) in an academic or professional context.

  • Participation in supply chain case competitions, AI hackathons, or strategy projects with measurable outcomes.

  • Working knowledge of data visualization or analytics tools (e.g., Power BI, Tableau, Python, SQL) applied in a supply chain or operations context.

  • Understanding of Prompt Engineering or Retrieval-Augmented Generation (RAG) techniques - even at a foundational or experimental level.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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