Sr. Manager of Network Optimization

Key Responsibilities

The role will own the overall health of the network as a system, including the following pillars:
  • Define the "Tenets of Connectivity" by balancing cost, touches, and speed to determine hub-to-spoke linkage.
  • Anticipate the future, ensuring major real estate and flow decisions are made months in advance of capacity breaking points.
  • Establish clear financial burn guardrails and client SLAs aligned with Commercial.
  • Deeply understand Origin-Destination (OD) flows, resulting zone mix, and breakdowns by client size to revise network design.
  • Establish and focus on the end-to-end "Ops Clock," acting as the "dwell hunter" of the network.
  • Conduct "Speed vs. Margin" analysis by developing data pipelines that estimate arc level volumes.
  • Decide when volume justifies a direct lane versus a consolidated move, ensuring speed is a deliberate choice, and track Direct Arc Opportunities for bypassing intermediate facilities.

Ideal Candidate Archetype

  • Strategic Network Architect: Possesses deep subject matter expertise to design complex network structures (Topology & Flow) and ensures the physical footprint evolves ahead of demand.
  • Data-Driven Operator: Expert in leveraging analytics and data pipelines to identify inefficiencies (Dwell Hunting) and quantify tradeoffs (Speed vs. Margin analysis).
  • Systems and Process Builder: Capable of translating strategic decisions into system behavior and partnering with Product to define requirements for network orchestration tools.
  • Financial & Economic Acumen: Able to own the network's financial conscience, audit the true cost-to-serve, and investigate novel cost-saving initiatives.

Experience
  • Level: 5-10+ years in network logistics or supply chain design.
  • Context: Significant experience building and optimizing a multi-node network subject to real constraints in a high-growth, competitive, or tech-forward environment.
  • Target Companies: Experience often comes from "one degree of separation" companies like Amazon, FedEx, UPS, other parcel carriers, tier 2 e-commerce providers (like Chewy or Walmart), and at-scale 3PLs (like GXO or Ascendant).
  • Extensive experience using Ai to optimize logistics processes and workflows

Key Mindset: Must have experience working in cost-constrained environments and the ability to balance building an ideal network with present-day fiscal responsibility.

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