WES Consultant

Must Have Technical/Functional Skills

• 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.

• 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.

• 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.

• 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).

• 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.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $120,000 - $150,000 a year