Principal Revenue Management and Pricing

Position: Principal Revenue Management and Dynamic Pricing
Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.

We are seeking an Executive Principal Delivery Specialist to join our global Revenue Management & Offer Optimization Delivery team, where innovation knows no borders. This team specializes in implementing and delivering Dynamic Pricing and Revenue Management solutions for airlines across the globe. It bridges complex data science, machine learning models and airline business processes to help carriers maximize revenue and transform their offer optimization capabilities.

With an inclusive culture and flexible work environment, we work together with boldness, curiosity and commitment so we can all win together.

As an Executive Principal Delivery Specialist, you will serve as a subject matter expert leading full lifecycle implementations from project kickoff through business process assessment and transition to customer care. You will guide cross-functional project teams, mentor business analysts and collaborate directly with operations research teams to refine models for optimal customer outcomes. This role requires deep airline revenue management expertise, strong data analytical skills and the ability to partner effectively with customer executives and internal sales teams.

What you'll doLead the end-to-end implementation lifecycle for Dynamic Pricing and Revenue Management solutions, from project kickoff and business process assessment through transition to customer care.

Partner with Operations Research teams to deploy and fine-tune machine learning and pricing models based on real-world airline business use cases and experimentation frameworks.

Lead data gathering and validation checks across all stages of implementation to ensure accuracy and solution adoption.

Guide project teams, mentor new business analysts and serve as the lead conduit between developers, architects, customer care and internal or external stakeholders.

Contribute to sales operations and RFPs by defining work orders, implementation costs and sharing customer best practices with solution management.

What you'll bring

Required qualifications

Minimum 12 years of experience in airline Revenue Management, Pricing and associated Machine Learning/Operations Research models using O&D revenue management solutions or similar applications.

Demonstrated expertise in Dynamic Pricing, Competitive Benchmarking, Offer Optimization, Forecasting, Optimization techniques and experimentation framework design.

Strong data analytical skills with working knowledge of SQL, No

SQL databases (such as Google Big Query or MongoDB) and database concepts.

Practical experience with major travel distribution or reservation systems (Sabre, Amadeus, or Galileo).Excellent written and verbal English communication skills, with the ability to lead discussions across technical and business teams.

Willingness to travel 30–40% of the time.

Preferred qualifications

Advanced proficiency with Microsoft Office (Word, Excel Advanced, PowerPoint) and analytical or database tools such as Python, R, VBA, SQL Developer, Studio 3T/Compass or Salesforce CRM.Command of a second language.

Bachelor's degree or equivalent technical experience.

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