Sr. Manager of Network Optimization

Key Responsibilities

• 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.

• 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

Compensation