$ cat jobs/multi-door-merchandise-planner-luxury-boutique-discovery-land-company-1f0e14c6b77a.json
Multi-Door Merchandise Planner, Luxury Boutique
If you are an internal applicant, please log into Workday and submit your application via the Jobs Hub. Please click here to apply internally. Join the Discovery family, where quality and service are at the heart of everything we do! This role will be located at one of Discovery Land Company ’s Corporate Office locations in Scottsdale, Arizona (hybrid) or can sit remote in the United States. Discovery Land Company is seeking a full-time, year-round Multi-Door Merchandise Planner, Luxury Boutique to join the Retail Department. Job Summary: The Merchandise Planner, Boutique is a critical analytical role within DLC's global retail organization, responsible for driving financial performance across all 14 Rhoze luxury boutiques and Spa Boutique locations. Reporting to the Director of Retail Systems & FP&A, this role owns the planning, forecasting, and open-to-buy management function for the boutique channel — translating buying strategy into disciplined financial execution. This person will partner closely with boutique buyers, the Director of Retail Systems & FP&A, and regional operators to ensure inventory investment is optimized, sell-through targets are met, and the financial model supports DLC's premium brand positioning and rapid global expansion. Duties & Responsibilities: Financial Planning & OTB Management Own and manage the open-to-buy (OTB) process across all Rhoze and Spa Boutique doors, ensuring disciplined inventory investment aligned to budget and sales plans. Build and maintain seasonal and annual financial plans by door, region, and category including sales, receipts, margin, inventory turn, and IMU/GM% targets. Reconcile OTB plans monthly in Management One; maintain accuracy of financial model inputs and outputs across all boutique locations. Identify and flag OTB variances, supply/demand imbalances, and receipt flow issues proactively. Support buyer-led purchasing decisions with financial guardrails, hindsight data, and scenario modeling. Inventory Ana