WES Consultant

Wes Consultant

Atlanta, GA

Fulltime

• Strong experience with Warehouse Execution Systems (WES) in large DCs / fulfillment centers.

• Solid understanding of WMS (e.g., Manhattan, Blue Yonder) and WCS (e.g., Honeywell, Dematic, Daifuku) interactions.

• Hands-on knowledge of warehouse automation, conveyors, sortation, robotics, and material handling systems.

• Experience in supply chain, fulfillment, or retail distribution environments.

• Consulting & Communication

• Proven ability to work in a client-facing consulting role.

• Strong communication and storytelling skills—able to articulate technical concepts to business leaders.

• Experience creating PoVs, solution decks, business cases, and roadmaps.

• Comfortable working in ambiguous problem spaces and shaping solutions from scratch.

Roles & Responsibilities

Domain & Solution Consulting

• Serve as a WES domain expert across inbound, outbound, sortation, picking, packing, and shipping workflows.

• Advise on WES architecture and orchestration logic, acting as the “brain” between WMS, WCS, robotics, and material handling equipment.

• Support build vs. buy decisions, WES modernization, and migration from 3rd party platforms where applicable.

• Define future-state WES capabilities, including scalability, resiliency, and automation expansion.

Business & Stakeholder Engagement

• Engage with IT leadership, warehouse operations and automation teams to understand business problems and operational KPIs.

• Translate operational pain points into WES-driven solutions with measurable outcomes (throughput, pick accuracy, labor optimization, SLA adherence).

• Lead or support executive discussions, PoVs, and roadmap creation for WES transformation initiatives.

Implementation & Delivery Support

• Collaborate with engineering teams to define functional requirements, business rules, and integration patterns.

• Guide teams on task prioritization, carton streaming, wave-less execution, and dynamic decisioning.

• Support pilot rollouts, phased deployments, and scale-up across distribution/fulfillment centers.

• Partner with vendors and OEMs (conveyors, sorters, robotics, AMRs, PLCs).

• Advanced / Emerging Capabilities (Good to Have)

• Identify opportunities for AI/ML or agent-based decisioning within WES (e.g., dynamic task assignment, congestion avoidance).

• Contribute to automation and robotics strategy in high-volume fulfillment environments

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