Key Responsibilities

• Transform and optimize revenue management systems to enhance availability, performance, and automation
• Calibrate and maintain Revenue Management systems at optimal settings while ensuring compliance with SIA architecture standards
• Create technical solutions for revenue management requirements across various technologies including
• Revenue Management Systems,
• Pricing and Shopping Engines,
• Distribution and Sales Systems, and
• Data Analytics platforms
• Assess, introduce, and implement new AI/ML technologies in Revenue Management and Dynamic Pricing, including forecasting, demand prediction, and pricing optimization tools
• Lead integration of machine learning algorithms into existing revenue management workflows and collaborate with vendors on AI-powered solutions
• Deliver large-scale IT projects using Agile methodologies while managing outsourced vendors and internal teams
• Track, proof-of-concept, and plan technology refresh for revenue systems with emphasis on AI capabilities

Requirements



• Degree with 6-10 years of systems experience managing Revenue Management Systems in multi-vendor environments, covering Revenue Optimization Systems, Dynamic Pricing, Data Analytics, Business Intelligence, and AI/ML applications
• Experience in deploying new generation Revenue Management Systems including scoping, setup validation, calibration, UAT, BPT, and system cutover
• Experience in Altea would be beneficial
• Strong understanding of AI and Machine Learning applications in revenue management, including predictive analytics, demand forecasting, and dynamic pricing algorithms
• Knowledge of airline revenue management principles, pricing strategies, fare family offerings, and distribution architectures
• Proficiency in Agile/Scrum methodologies and automation tools
• Excellent problem-solving, analytical, communication, and interpersonal skills with ability to interpret revenue data and AI model outputs
• Demonstrated industry awareness of AI trends in revenue management