DG Beauty_Global Margin Controlling Manager
Pubblicato il 21-08-2026 - DOLCE&GABBANA in Italia
Job Title : Global Margin Controlling Manager
Location: Milano
About Us:
Founded in 1985, Dolce & Gabbana is an international leader in the fashion and luxury sector. The founders, Domenico Dolce and Stefano Gabbana, have always been the creative source behind all the brand’s activities, as well as the driving force behind its development strategies.
An expression of Italian excellence, the Group designs, produces, and distributes clothing, accessories, fragrances and cosmetics, watches and jewelry. It is also active in lifestyle collaborations, home furnishings, and exclusive Haute Couture creations.
Role Description :
The successful candidate will join Dolce&Gabbana; Beauty Divions, in particular DG Beauty Global Controlling Team , working closely with HQ functions and regional organizations. The role focuses on business controlling activities, including budgeting and forecasting by region, channel and product profitability analysis, and overall business performance reporting.
The Global Margin Controlling Manager is accountable for defining and delivering target margins across Beauty projects, ensuring the execution of all required activities to meet the Strategic Plan and Budget objectives by governing the key levers (net revenues, pricing, commercial conditions, channel mix, axis mix and market mix).
Main Activities :
- Lead the budgeting, forecasting, monthly review and mid-term planning processes, ensuring timely and accurate deliverables and producing detailed analyses and reports
- Support regional top management with high-impact presentations and dashboards on key projects and business priorities
- Oversee net revenues, margin and profitability analyses by product, line, channel, axis and region, translating insights into actionable recommendations
- Define target margins and calculate ROI by initiative through robust economic and financial modelling
- Monitor business performance on a regular basis, performing variance analyses and identifying key driv