Manager, Revenue Growth Management – Retail Strategy

Role Overview

The Manager, Revenue Growth Management – Retail Strategy plays a crucial role in shaping how our brands win in-market by turning data into insights that fuel smarter pricing, promotion, and packaging choices. This role supports North America’s retail execution and growth ambitions through collaboration across RGM Multiyear, OBPPC, Franchise, Customer, and Execution teams.

What You Will Do

Develop actionable insights and recommendations that enable retail strategy decisions for in‐year and multi‐year planning. Analyze consumer, shopper, retail, and financial data—including panel, scan, loyalty, and shipment metrics—to identify performance drivers, risks, and growth opportunities.

Why It Might Be a Fit

Ideal candidates are skilled at transforming complex data into clear business narratives and thrive in cross‐functional environments where data‐driven thinking translates into action and measurable results.

Requirements

• Bachelor’s degree required; advanced degree or equivalent professional experience in data analytics, economics, business, or related field beneficial.
• Minimum of 3 years in CPG, retail, analytics, finance, or consulting with a track record of transforming data into actionable insights.
• Strong analytical and problem‐solving ability with comfort navigating multiple data sources.
• Proven business and financial acumen connecting insights to revenue, volume, profit, and trade performance.
• Ability to structure analyses and evaluate scenarios for pricing, promotion, and package optimization.
• Exceptional collaboration skills and ability to work seamlessly across multifunctional project teams.
• Strong narrative and presentation skills to simplify complex analytics into clear, actionable recommendations.
• High intellectual curiosity and motivation to understand business performance trends and identify improvement levers.
• Proficiency using diverse data sets such as in‐market measurement, consumer panels, loyalty data, and shipment information.
• Ability to link data outputs with business KPIs and communicate findings effectively across teams.
• Familiarity with rate/mix drivers, promotional elasticity, and trade effectiveness principles preferred.
• Exposure to revenue growth management, OBPPC analysis, or customer P&L management desirable.

Benefits

• A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
• Annual Incentive Reference Value Percentage: 15

Tagged as: Data Analysis, Financial Modeling