Lead Revenue Management and Offer Optimization
Sabre · Bengaluru
- Experience8–9 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted24 Sept 2026
About Sabre
Sabre is hiring in Bengaluru in hospitality travel. This role looks for around 8+ years of experience.
Skills
- Offer Optimization
- Dynamic Pricing
- Revenue Management
- Airline Offer Order Ecosystem
- Airline Pricing
- Data analysis
- Machine learning
- Operations research
- Data modeling
- SQL
- NoSQL databases
- Experimentation framework design
- Forecasting
- Optimization techniques
- English
- Microsoft Excel
- Python
- Google BigQuery
- MongoDB
- UNIX
- Windows
The role
A delivery manager at a travel technology company implements airline offer optimization, dynamic pricing, and revenue management solutions, applying SQL and NoSQL databases to validate data and support model deployment. This person guides airline analysts through adoption, business process assessment, and solution delivery while using experimentation framework design and forecasting and optimization techniques.
Full job description
Position Description For Lead Revenue Management & Offer Optimization
Sabre Revenue Management & Offer Optimization Delivery members are part of a techno-functional team specialized in implementing and delivering Offer optimization, Dynamic Pricing and Revenue management solutions for various airlines. Delivery member is acknowledged as a Subject Matter Expert (SME) on these solutions and business practices of Offer Optimization.
Responsibilities
Will be involved in end to solution implementation life cycle starting from Project Kick Off, Business Process Assessment (BPA) through transition to customer care.Will develop a thorough understanding of the application’s user interface, from both functional and business process standpoint, to train airline analysts and help in solution adoption into customer’s business processes.Will understand the Pricing and Revenue Management needs of the Airlines and be able to guide them with best practices and relevant use cases.Will understand the modelling involved in the Dynamic Pricing and Offer Optimizations Products and work with Operations Research teams to deploy/finetune the models for better delivery of the solutions to Airlines.Will attend onsite customer meetings when required and support the project team in understanding customer's business processes and requirements.Will identify the best practices adopted by customers during the interactions and communicate the same to Solution Management teams to enhance Revenue Optimization & Dynamic Pricing solutionsWorks collaboratively in a team environment with project managers, account managers, implementation and development resources to meet customer expectations regarding solution implementation, issue resolution during solution adoption phase, and resolution of maintenance issues / service requests post cutover.Will lead the data gathering process prior to solution implementation phase.Will lead data validation checks in the context of Revenue Optimization & Dynamic Pricing solutions at all stages of solution implementation and deliveryExcellent written and verbal communications skills, to serve as lead conduit between developers, architects, designers and with external and internal customers Will help Customer care team in resolving maintenance SRsDemonstrates effective teamwork skills.Operates under general direction with minimal oversightEnsures that approved methods, processes, and tools are consistently used.Shall mentor/train new business analysts on the solution and processes.Will contribute to RFP’s and Sale’s operations in defining Work Orders and relative costs of implementations.
Required Experience / Skills
Airline Pricing and Revenue Management or relevant experience.Airline Offer Order Ecosystem understanding or relevant similar experienceAirline Offer Optimization and Management knowledge and experience8+ years experience working in Revenue Management, Pricing and associated ML and OR models for an airline using O&D revenue management solutions, or similar experienceStrong Data Analytical skillsAbility to apply modelling and analytical skills to real world travel problems demonstratedHave experience with Dynamic Pricing, Competitive Benchmarking, Offer Optimization & Revenue Management applications.Experimentation Framework Design & understanding model outputs for airline business use casesPricing and RM Models exposureGood understanding of database concepts and working knowledge of SQL & NoSQL databasesExperience with one of the travel distribution/reservation systems (Sabre, Galileo, Amadeus)Bachelor's degree or equivalent technical experience strongly desired.Must be organized and be able to multi-task and work in all areas as needed.Prior experience/knowledge on Forecasting and Optimization techniques is an advantage.Proficient English written and oral communication skills. Command of a second language is an advantage Identify problems and be able to determine when appropriate escalation is requiredMust be willing to travel 30-50% of the time
Preferred Technical Skills
Microsoft Tools: Microsoft Word, Excel Advanced, PowerPointTools : SQL Developer, Compass/Studio 3T or Equivalent, R or Python, VBADBMS: Google BQ, MongoDBOperating Systems: UNIX, WindowsProgramming languages and other tools (desired, not required): C++, Java