Americas Flow Optimization Lead

Americas Deliver Planning Lead

The Americas Deliver Planning Lead is accountable for driving end-to-end flow optimization and lane-level planning execution across the Americas distribution and transportation network primarily focused on the LATAM market. This role ensures optimal freight flow design, distribution capacity alignment, and cost-to-serve performance through advanced analytics, scenario modeling, and cross-functional collaboration.

The Lead enables enterprise decision-making by translating demand and supply signals into distribution and lane-level plans (0–24 months), optimizing mode mix, and proactively identifying risks and opportunities across inbound and outbound flows.

This role can be located at a Johnson & Johnson site within the United States (NJ, PA, CA, FL, TX, or Guaynabo, Puerto Rico), or internationally in Markham Canada, or São Paulo, Brazil.

Key Responsibilities

• Lead Deliver supply and capacity planning across owned and 3PL distribution centers and transportation partners primarily focused on the LATAM region
• Ensure accurate and timely visibility of capacity constraints, risks, and trade-offs across the Deliver network.
• Support regional Deliver teams in executing capacity and labor plans aligned to business priorities.
• Execute Deliver planning scenarios and trade-off analyses to support enterprise decision-making.
• Represent Deliver planning outcomes in monthly operation forums and leadership discussions.

• Lead lane-level planning across inbound and outbound flows, ensuring alignment between forecast, capacity, and execution.
• Identify and proactively mitigate lane bottlenecks and capacity constraints ahead of demand peaks.
• Coordinate with carriers and 3PL partners to align capacity with forecasted volumes.

• Establish and lead a structured, recurring process to define and manage how products flow through the existing distribution network (manufacturing → hubs → local DCs).
• Translate global network design into scalable, executable flow rules across Surgery and EP/NV portfolios.
• Define and govern product flow segmentation strategies, including differentiation for fast vs. slow movers to optimize service, cost, and inventory positioning.
• Define and standardize the role of primary hubs, secondary hubs, and local DCs (large vs. small) within the network.
• Implement a recurring governance cadence to review and update product flows (e.g., new products, node additions, demand shifts).

• Develop scenario-based lane and contingency plans for disruptions (e.g., node outages, volume variability).
• Provide clear insights on cost, service, and capacity tradeoffs across distribution capacity flow decisions.
• Translate analytics into actionable recommendations for leadership forums and planning cycles.

• Monitor and manage lane capacity utilization and DC storage utilization vs. plan and identify improvement opportunities.
• Track and optimize SG&A warehousing and COGS freight spend, ensuring alignment with financial targets.
• Identify and quantify flow optimization opportunities across the network.

• Partner with Regional Deliver, Transportation (D&T), GTTO, Business Unit Supply Chain Planning, carriers, and 3PLs.
• Influence stakeholders through data-driven insights on flow performance, risks, and tradeoffs.
• Support alignment between network strategy, IBP, and operational execution

• Owns:
• Execution of Deliver Operations Planning activities
• Deliver supply, and capacity planning outcomes
• Lane-level planning and flow optimization across Americas network
• Mode mix optimization and freight routing strategy
• Scenario modeling and contingency flow design

• Does Not Own:
• Day-to-day operational execution in distribution or transportation
• Enterprise network design
• IBP governance frameworks (provides input and analytics support)

Qualifications

• Bachelor's degree required; advanced degree preferred
• 5+ years of experience in supply chain planning, transportation, or network optimization
• Experience in flow optimization, lane planning, or transportation modeling
• Proven ability to influence cross-functional stakeholders in a matrixed organization

• Experience in multi-region distribution and logistics networks
• Strong capabilities in analytics, scenario…