Aimpoint Digital

Compensation

Full Description

Aimpoint Digital is premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. We're a dynamic team committed to solving our client's most critical business challenges in partnership with the industry's most innovative cloud and data technology providers. What sets us apart is our approach: we start by truly listening, then craft tailored solutions powered by modern technologies, which are delivered by our passionate consulting experts. Joining our team means working alongside some of the brightest minds in data and AI consulting to solve meaningful problems for our clients. We are seeking a Senior Director of Supply Chain Analytics & Transformation to serve as a functional subject-matter expert for our clients with complex, global supply chains. Rebalancing and optimizing supply chains are mission-critical for retailers, manufacturers, CPG companies, transportation providers, and logistics firms who are navigating unprecedented volatility – from tariff and trade uncertainty to raw material constraints, geopolitical disruptions, and fluctuating transportation capacity – creating a heightened need for data-driven supply chain visibility, predictive analytics, and AI-enabled decision-making. This individual will play a critical role in shaping our go-to-market strategy for supply chain analytics, AI, operations research, and digital supply chain solutions. This role is ideal for someone who has spent years inside organizations with large-scale supply chain operations, or who has consulted for multinational organizations on how to optimize their supply chain functions; having deep familiarity with the systems, data structures, pain points, and metrics will be critical to being successful in this role. You will help define solution offerings, guide the technical teams, and collaborate with sales and marketing to position our capabilities effectively. Key Responsibilities Go-to-Market (GTM) & Solution Strategy Lead the creation and refinement of supply chain analytics, AI, and operations research offerings. Develop value propositions, market messaging, and use-case playbooks. Partner with sales teams during pre-sales cycles to shape client solutions and proposals. Represent the firm externally at conferences, webinars, and industry events. Client Advisory & SME Leadership Act as the primary functional SME during client discovery sessions. Translate operational supply chain challenges into analytical, AI, data engineering, and operations research requirements. Identify opportunities for clients to modernize processes with predictive, prescriptive, and generative AI tools. Provide executive-level guidance to supply chain leaders on analytics maturity and transformation roadmaps. Technical & Data Expertise (Functional Perspective) Define supply chain data models, KPIs, and integration requirements for analytics/AI use cases. Collaborate with analytics, data science, and OR teams to shape solution design. Provide system-level expertise across tools such as SAP, Oracle, JDA/Blue Yonder, Kinaxis, Manhattan, Coupa, various TMS/WMS systems, and planning tools. Guide teams on feasibility, data availability, model selection, and business-value alignment. Internal Collaboration Work closely with delivery teams to ensure functional accuracy and client alignment. Support marketing with whitepapers, case studies, POVs, and webinars. Provide functional training to cross-disciplinary team members as needed. Qualifications Required 10–15+ years of experience in supply chain management at companies with large, complex supply chains. Deep understanding of end-to-end supply chain processes, KPIs, and data structures. Strong functional expertise in planning, logistics, procurement, inventory, manufacturing, or related domains. Proven ability to interact with executives and cross-functional teams. Ability to translate operational issues into analytics, data science, and OR problem statements. Experience working with or around enterprise supply chain technologies and data ecosystems. Preferred / Nice-to-Have Prior experience in consulting, advisory, solutions architecture, or pre-sales. Exposure to operations research, optimization modeling, simulation, or advanced analytics. Experience partnering with data engineering, analytics, and AI/ML teams. Thought leadership experience (speaking, writing, influencing, etc.). We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.