Analyst

About the Role

• Curiosity about how artificial intelligence is reshaping global supply chains.
• Understanding that the future of supply chain involves intelligent systems that learn, adapt, and collaborate.
• Blend of functional supply chain knowledge and fluency in enterprise AI concepts.
• Energized by turning AI and supply chain knowledge into tangible client value.
• Comfortable moving between structured analysis and open-ended problem-solving.
• Ability to ask good questions, synthesize complex information quickly, and communicate thinking clearly.
• Eagerness to grow, take direction well, and understand that consulting outcomes are built on meticulous preparation and disciplined thinking.

Key Responsibilities

• 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.
• Map 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 knowledge and client 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 articulating ROI, risk, and transformation timelines for supply chain-specific AI initiatives.
• Support client workshops and discovery sessions by preparing materials, capturing requirements, and synthesizing stakeholder inputs.
• Prepare client-facing presentations, roadmaps, and strategy decks that translate AI and data concepts into accessible narratives.
• Apply Design Thinking principles to facilitate structured problem definition and solution ideation sessions.
• 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.
• Complete assigned AI literacy and continuous-learning modules.