Vice President of Pricing

Summary

The Vice President of Pricing will develop, implement, and manage pricing strategies across 375 locations, driving revenue optimization through dynamic pricing models that account for demand, seasonality, time of day, competitive factors, and customer behavior. This role oversees commercial analytics and partners on loyalty program strategy to ensure pricing decisions maximize profitability while enhancing customer engagement and value perception.

What You'll Do

• Design and lead a comprehensive, dynamic pricing strategy across all 375 locations, incorporating demand, seasonality, time-of-day, and customer segmentation to drive revenue growth and margin optimization.
• Build and oversee pricing models using data science, machine learning, and statistical forecasting; monitor performance against revenue, utilization, margin, and customer lifetime value KPIs.
• Conduct competitive pricing analysis and partner with FP&A to forecast and track the financial impact of pricing decisions.
• Lead commercial analytics efforts to uncover insights across pricing, promotions, customer behavior, and market trends.
• Collaborate with Marketing and Customer Experience to design and optimize loyalty programs, integrating loyalty data into pricing models to personalize offers and improve retention.
• Partner with regional and location managers, Operations, and Product/Technology teams to keep pricing systems automated, scalable, and practical to execute locally, with clear governance for approvals and exceptions.
• Build, lead, and develop a high-performing pricing, revenue management, and commercial analytics team, fostering a culture of data-driven decision making and continuous improvement.

What You'll Bring

• 7+ years of experience in pricing, revenue management, or commercial analytics, ideally in multi-location, consumer-facing businesses (hospitality, retail, entertainment, or leisure preferred).
• Proven track record designing and executing dynamic pricing strategies and loyalty program integration at scale.
• Strong analytical background with expertise in pricing optimization, demand forecasting, customer segmentation, and data modeling.
• Demonstrated leadership experience building and managing high-performing teams.
• Excellent communication skills, with the ability to influence executives and field operators alike.
• Proficiency in pricing, analytics, and CRM tools; experience integrating with POS, ERP, and loyalty platforms a plus.