Senior Manager – Front Store Pricing

This is a fully remote position, open to applicants in Rhode Island.

📋 Description

• Formulating and implementing category pricing strategies, encompassing Reg/Net positioning, KVIs, price ladders, and geographic pricing.

• Converting business objectives (margin, share, acquisition, basket growth) into pricing strategies with established targets and performance metrics.

• Managing the competitive pricing stance and Water Level (WL) strategy, which includes benchmarking, elasticity-driven pricing decisions, and price modifications.

• Utilizing advanced analytical techniques (machine learning, demand forecasting, price elasticity, optimization) to guide pricing decisions.

• Creating, executing, and assessing pricing experiments (e.g., A/B testing) to gauge impact and enhance strategies.

• Analyzing extensive datasets through SQL-based tools (e.g., Snowflake) and interpreting model outputs, forecasts, and performance indicators.

• Collaborating with Data Science, Product, and Engineering teams to deploy and scale pricing models and decision-making tools.

• Overseeing category performance, which includes margin, price competitiveness, market share, forecast accuracy, and customer acquisition results.

• Identifying performance influencers and providing data-driven recommendations to enhance business outcomes.

• Leading the deployment of pricing tools, platforms, and process enhancements to modernize legacy methods.

• Leading and nurturing a team of pricing professionals, focusing on performance management and capability development.

⛳️ Requirements

• 8+ years of experience in pricing, retail merchandising, revenue management, or financial analytics.

• In-depth understanding of retail pricing dynamics, promotions, and front store category management.

• Proven capability to balance margin performance, competitive pricing, and customer value.

• Advanced analytical abilities; strong expertise in Excel.

• Capability to influence cross-functional partners and communicate effectively at all levels, including senior leadership.

• Previous experience in people management or informal team leadership.

• Demonstrated expertise in applying statistical modeling, demand forecasting, price elasticity, and optimization techniques to achieve business results.

• Experience handling large datasets, including querying and analyzing data using SQL-based platforms (e.g., Snowflake or equivalent).

• Proficiency in interpreting machine learning or predictive model outputs and utilizing results for business decision-making.

• Proven understanding of experimental design, execution, and evaluation of results (e.g., A/B testing) to assess impact and refine strategies.

• Established ability to present analytical findings and influence stakeholders at the Director and VP levels.

• Experience managing teams, encompassing hiring, performance management, and talent development.

• Experience collaborating with Data Science, Product, and Engineering teams to implement analytical or data-driven solutions.

• Familiarity with AI or advanced analytics tools to support data analysis, reporting, or decision-making.

🏝️ Benefits

• Medical, dental, and vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Other resources, based on eligibility.