COMPANY DESCRIPTION
At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
POSITION OVERVIEW
The Sales Operations Manager of Wholesale Reporting and Analytics is responsible for leading the management and execution of data analysis used to measure order bookings, inventory performance metrics, and shipment forecasting, in support of the company’s strategic financial objectives. This position sits within the Wholesale Services Sales Operations team and serves as a key analytical partner to senior leadership by delivering actionable insights into financial shipment forecasting, key metrics and KPI’s, and ad-hoc business needs. The position is an important thought leadership position operating at a management level, with accountability for the delivery of high-impact reporting and analytics to Executive Management.
ESSENTIAL DUTIES & RESPONSIBILITIES
- Lead the development, execution, and ongoing improvement of Wholesale shipment forecasting and reporting analytics related to order status, metrics and KPI reporting, inventory performance, inbound product flow, and financial outcomes.
- Provide data-driven insights and analysis to understand drivers of performance, identify business risk and predict outcomes
- Partner with Wholesale Services Leadership to produce and deliver accurate, monthly and quarterly financial shipment forecasts to support strategic planning and decision-making
- Own and deliver Daily/Monthly Forecasting Reports distributed to Executive Management, ensuring clarity, consistency, and data integrity
- Analyze inbound inventory and order flow to identify risks to customer commitments, revenue, and performance gaps
- Support ad-hoc business analysis requests by translating complex data into clear, actionable insights
- Establish standardized forecasting methodologies, reporting frameworks, and best practices
- Continuously evaluate and enhance reporting tools, processes, and data sources to improve accuracy and business impact
Cross-Functional Collaboration & Business Partnership
· Champion a culture of data-driven decision-making. Mentor teams on advanced forecasting, sensing, and analytics best practices
- Collaborate with Finance, Sales, Production, Logistics, and Distribution teams to align forecasts and assess financial and operational risk
- Develop strong understanding of changes to the order pool and their impact on monthly and seasonal forecasts
Technical & Leadership Capabilities
· Required: Leadership-level experience with SAP AFS / S/4HANA, owning wholesale forecasting, order management, inventory, and financial reporting processes
- Preferred: Experience leading and governing reporting solutions in MicroStrategy, including defining standards, validating outputs, and guiding analyst development and best practices
- Deep understanding of modern analytics and BI technologies, with the ability to evaluate tools and drive adoption of scalable reporting solutions
- Strong knowledge of relational data models and data integrity across enterprise systems
- Advanced Excel expertise required, including complex modeling, pivot tables, advanced formulas, macros, and the ability to coach and review work produced by others for accuracy and efficiency
- Experience leveraging WMS data to drive operational and executive-level insights
- Exhibit strong leadership capabilities with a positive, professional demeanor, even in high-pressure situations
- Ensure all analytical and reporting processes are fully documented and cross-train colleagues and provide operational backfill coverage
- Support or lead independent projects as business needs arise, delivering results and actionable recommendations within expected timeframes
EXPERIENCE, SKILLS & KNOWLEDGE
- Experienced in Finance, Business, Analytics, or a related field, or degree preferred
- 5+ years of experience in forecasting, reporting, or business analytics, preferably within apparel, retail, or wholesale
- Proficiency in statistical modeling, forecasting, and demand sensing methodologies with specific emphasis on financial forecasting, inventory analysis, revenue capture and performance metrics
- Advanced proficiency in Excel and BI/reporting tools; ability to present insights to executive audiences
- Proven ability to manage multiple priorities in a fast-paced, deadline-driven environment
- Strong collaboration skills and experience working cross-functionally.