Senior Manager of Integrated Business Planning Analytics

Overview

Ralph Lauren Corporation is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality.

Position:
Senior Manager of Integrated Business Planning Analytics

• Deliver actionable insights, ensure alignment across functions, and enable long-term business performance.
• Lead the development of the company's 3-year global supply plan, ensuring alignment across functions and geographies.
• Build analyses and tools to identify lost sales opportunities, quantify demand risk, and recommend actions to senior leadership.
• Oversee and optimize enterprise-level master data processes to ensure accuracy, consistency, and efficiency across supply chain and finance systems.
• Present to senior executives, manage cross-functional initiatives, and mentor junior team members.
• Develop models using statistical methods and programming (Python, SQL, etc.) to guide business-critical decisions.
• Manage and develop a team of direct reports, including a Manager and an Analyst, providing guidance, performance feedback, and professional growth opportunities.
• Up to 15% of domestic and international travel required.
• Full-time telecommuting permitted.

Location:

100 Metro Boulevard, Nutley, NJ 07110

Salary: $169,541 - $180,000/yr

• Master's degree or equivalent in Data Science, Statistics, Business Analytics, Advanced Analytics or closely related field.
• 2 years of experience in the position offered or a related role with demonstrated proficiency in:
• Utilizing advanced analytics techniques including R, Python, and Jupyter Notebook in supply planning analytics for a global retail organization.
• Developing and presenting supply chain data insights to senior leadership to identify business opportunities to optimize sourcing network by cost and lead time.
• Overseeing and optimizing enterprise-level master data processes to ensure accuracy and consistency across supply chain and finance systems.
• 1 year of experience in the following areas:
• Utilizing machine learning models through Python for demand forecasting in a global retail organization.
• Developing automated processes in Dataiku to support scheduled analysis across international sourcing and product management teams.