Job Description

WHO YOU WILL WORK WITH

We are looking for an experienced Lead Product Manager to own and scale Nike’s Inventory Decision Platform, a mission-critical capability to enable intelligent inventory forecasting and allocation decisions, demand-supply matching across channels and fulfilment node and optimized inventory utilization,

As a Lead Product Manager working in the Supply Chain Planning technology team, you will operate at the intersection of Product, Engineering, Data Science, and Global Supply chain operations, driving the inventory decisioning platform at scale.

You will partner closely with:

• Engineering and Data Science teams building optimization and decision systems

• Global & Geo Supply Chain teams managing inventory flow, allocation policies, and execution

• Product, Architecture, and Data teams shaping the broader planning and inventory ecosystem

• Business stakeholders across digital, retail, and fulfilment channels

You will act as the single point owner enabling the success of inventory decisioning products by aligning business priorities with technology strategy and execution.

WHO WE ARE LOOKING FOR

• 8–12 years of experience in Product Management and at least 3+ years as a Product lead for Supply Chain domains

• Strong supply chain depth (inventory, planning, or fulfilment domains)

• Experience working in global, cross-functional environments

• Strong stakeholder management and ability to influence senior leaders

• Ability to translate complex business problems into clear product direction

• Data-driven mindset with focus on decisioning, trade-offs, and business outcomes

• Clear and crisp communication adapted to technical and business audiences

• Familiarity with supply chain forecasting / optimization models or ML-driven decision systems

WHAT YOU WILL WORK ON

As a Lead Product manager you will bring in
1. Inventory Decisioning Domain Expertise

• To drive capabilities across inventory forecasting, allocation, reallocation, and deployment

• Define decision logic for balancing: - Demand vs supply | Channel and marketplace priorities | Service levels, speed, and profitability

• Enable dynamic decisioning using real-time signals, constraints, and optimization logic

• Partner with business teams to evolve policies, rules, and decision frameworks

2. Product Excellence

• Own end-to-end product strategy, roadmap, and delivery

• Translate complex supply chain problems into scalable decisioning platform capabilities

• Manage backlog, prioritization, and execution with engineering and data science teams

• Drive PI planning, stakeholder alignment, and delivery tracking

• Track value, adoption, and business impact (e.g., service levels, inventory utilization, decision accuracy)