Head of Pricing

Develop and implement an optimal pricing strategy to support revenue growth, price competitiveness, and market leadership; Design, implement, and continuously improve ML-powered dynamic pricing algorithms to optimize commission and markup levels per hotel, partner, and market conditions; Scale automation through integration with internal pricing engine and develop admin tools for streamlined execution; Build and maintain tools to provide real-time visibility into competitor pricing across key destinations; Analyze pricing data to identify trends, opportunities, and risks; Collaborate with cross-functional teams, including Sales, Marketing, and Product, to align pricing with overall business objectives; Lead, mentor, and develop a team of pricing analysts and specialists; Monitor and report on pricing performance, identifying areas for improvement; Stay up-to-date on industry trends and best practices in pricing; Ensure compliance with all relevant pricing regulations. Responsibilities: Develop and implement pricing strategies to achieve revenue and profitability targets. Conduct market research to understand pricing dynamics, competitor pricing, and customer price sensitivity. Analyze pricing data and trends to identify opportunities for optimization. Develop and maintain pricing models and tools. Collaborate with cross-functional teams to align pricing with overall business objectives. Lead and manage a team of pricing professionals. Monitor and report on pricing performance. Qualifications: Bachelor's degree in a quantitative field (e.g., Economics, Statistics, Mathematics, Finance). 7+ years of experience in pricing, revenue management, or related field. Strong analytical and problem-solving skills. Experience with pricing models and tools. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Proven leadership and management skills. Strong understanding of market dynamics and customer behavior. Experience with data analysis and visualization tools (e.g., Excel, Tableau). Experience with machine learning techniques. Experience in the travel or hospitality industry is a plus. Benefits: