Luxury Distribution Planning Manager – 4 Days Onsite

Gruppe Louis Vuitton; New York (NY); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Paid time off

Employee discount

Job summary

Louis Vuitton Americas is seeking a Supply Chain Distribution Planning Manager to optimize inventory for a defined product category across the Americas. You will partner with Merchandising, Logistics, Retail, and the central team to balance distribution strategy with sales opportunities and drive operational excellence.

The role requires 5+ years in distribution or supply chain, strong data analysis, and proficiency in Power BI, SQL, and Excel.

Qualifications

• 5+ years of experience in distribution, allocation, or supply chain.
• Experience analyzing inventory and sales data to support category objectives.
• Proficiency with BI tools, SQL queries, and reporting requirements in a luxury fashion context.

Responsibilities

• Manage inventory levels for an assigned product category within the designated zone.
• Maintain an optimal stock balance to maximize sales and minimize depreciation.
• Analyze sales opportunities to support category objectives.
• Develop ad hoc tools and reports using Excel and Power BI to improve operations.
• Collaborate with central Supply Chain and local Merchandising teams.
• Manage an assigned group of Louis Vuitton Americas stores and optimize inventory across stores.
• Identify and execute stock-rebalancing opportunities and monitor order fulfillment.

Skills

Data analysis

Power BI

SQL

Python

Order management

Business intelligence

Tools

Excel

Job description

Louis Vuitton Americas is seeking a Supply Chain Distribution Planning Manager to optimize inventory for a defined product category across the Americas. You will partner with Merchandising, Logistics, Retail, and the central team to balance distribution strategy with sales opportunities and drive operational excellence.

The role requires 5+ years in distribution or supply chain, strong data analysis, and proficiency in Power BI, SQL, and Excel.