Lead Offer Optimization and Data Science at Sabre · Bengaluru

Lead Offer Optimization and Data Science Location: Bengaluru, Karnataka, India 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. Sabre Offer Optimization & Data Science 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, models, Data Science elements 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 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 solutions Works 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 delivery Excellent 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 SRs Demonstrates effective teamwork skills. Operates under general direction with minimal oversight Ensures 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 Offer Order Ecosystem understanding or relevant similar experience Airline Offer Optimization and Management knowledge and experience 8+ years experience working in  Revenue Management, Pricing and associated ML and OR models for an airline using O&D revenue management solutions, or similar experience Strong Data Analytical skills Ability to apply modelling and analytical skills to real world travel problems demonstrated Have experience with Dynamic Pricing, Competitive Benchmarking, Offer Optimization & Revenue Management applications. Experimentation Framework Design & understanding model outputs for airline business use cases Pricing and RM Models exposure Good understanding of database concepts and working knowledge of SQL & NoSQL databases Experience 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 required Must be willing to travel 30-50% of the time Preferred Technical Skills Microsoft Tools: Microsoft Word, Excel Advanced, PowerPoint Tools : SQL Developer, Compass/Studio 3T or Equivalent, R or Python, VBA DBMS: Google BQ, MongoDB Operating Systems: UNIX, Windows Programming languages and other tools (desired, not required): C++, Java We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.