Explore the intersection of Artificial Intelligence and global supply chains. This role focuses on leveraging intelligent systems that learn, adapt, and collaborate to transform supply chain design, planning, and operations. Bring your blend of supply chain knowledge and growing fluency in enterprise AI concepts to drive tangible client value.

Successfully navigate between structured analysis and open-ended problem-solving. You'll excel at asking insightful questions, rapidly synthesizing complex information, and clearly communicating your ideas. Whether mapping processes, drafting specifications, or envisioning AI-powered futures, your communication and analytical skills will be key.

Utilize AI tools across all tasks, including developing agents and facilitating:

- Supply Chain AI Strategy & Use Case Development: Identify, assess, and prioritize AI use cases in demand planning, supply planning, manufacturing, procurement, aftermarket, and fulfillment. Map current processes to AI-enabled future states. - Support Business Requirements Documents (BRDs) and Functional Requirements Documents (FRDs) grounded in supply chain knowledge. - Contribute to AI reference architecture designs for supply chain environments, illustrating agentic AI interactions. - Craft AI value cases and business cases articulating ROI, risk, and timelines for AI initiatives.

- Client Engagement & Advisory Support: Assist in client workshops and discovery sessions, capturing requirements and synthesizing stakeholder inputs. - Prepare client-facing presentations, roadmaps, and strategy decks translating AI concepts for leaders. - Apply Design Thinking to facilitate problem definition and solution ideation. - Maintain team repositories of supply chain AI frameworks and benchmarks.

- Data & AI Foundations: Develop fluency in enterprise data concepts relevant to supply chain planning and execution. - Support data analysis to derive insights from supply chain datasets. - Explore and apply prompt engineering and RAG techniques to build AI tools.

Required qualifications include:

- 2-5 years of experience 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. - Experience writing or contributing to structured business documents like process maps or requirements documents. - Ability to synthesize data into clear, structured insights. - Experience using AI tools (e.g., GenAI platforms) in an academic or professional context. - Strong written and verbal communication skills, with the ability to explain complex concepts to non-technical audiences.

Preferred qualifications include an MBA or Master's degree in a related discipline, coursework in AI/ML, consulting exposure, familiarity with enterprise planning or ERP platforms, and knowledge of data visualization or analytics tools.