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indeed

Service Delivery Engineer - Offer Optimization and Revenue Management

Sabre
Karnataka, IND
Full-time
Onsite
Discovered 1 months ago
Airline offer optimizationAirline revenue managementDynamic pricingAirline Offer Order ecosystemPricing and revenue management modelsData analysis and validation

Full Job Posting

About Sabre

Sabre provides travel technology on a cloud-native platform for airlines, hoteliers, agencies, and other travel partners.

Position description

The role is part of a techno-functional delivery team implementing offer optimization, dynamic pricing, and revenue management solutions for airlines.

Delivery members serve as subject matter experts in the solutions, models, data analysis, and offer optimization practices.

Responsibilities

  • Deliver implementations from project kickoff and business process assessment through transition to customer care.
  • Learn application interfaces and business processes, then train airline analysts to support adoption.
  • Work with Operations Research teams to deploy and fine-tune dynamic pricing and offer optimization models.
  • Attend onsite customer meetings when required and help teams understand customer processes and requirements.
  • Share customer best practices with Solution Management to improve products and solutions.
  • Coordinate with project managers, account managers, implementation, and development teams on delivery and issue resolution.
  • Lead data gathering before implementation and data validation throughout solution delivery.
  • Connect developers, architects, designers, and customers; support customer-care maintenance requests.
  • Mentor or train new business analysts and contribute to RFPs, work orders, and implementation cost definition.
  • Travel 20–30% of the time.

Required experience and skills

  • Knowledge of the airline Offer Order ecosystem or relevant similar experience, and airline offer optimization and management.
  • Three or more years in airline revenue management or pricing models using LegSeg, O&D solutions, or similar experience.
  • Strong data analysis and demonstrated modeling skills applied to travel problems.
  • Experience with dynamic pricing, competitive benchmarking, offer optimization, and revenue management applications.
  • Understanding of experimentation frameworks and model outputs for airline business use cases.
  • Working knowledge of database concepts, SQL, and NoSQL databases.
  • Experience with at least one travel distribution or reservation system: Sabre, Galileo, or Amadeus.
  • Proficient written and oral English; a second language is an advantage.
  • Must be willing to travel 20–30% of the time.

Preferred and desired technical skills

  • Forecasting and optimization techniques are an advantage.
  • Microsoft Word, advanced Excel, and PowerPoint are listed technical skills.
  • SQL Developer, Compass or Studio 3T, or equivalent tools; R or Python; VBA; Google BigQuery; MongoDB; UNIX; and Windows are listed tools or platforms.
  • C++ and Java are desired but not required.
  • A bachelor's degree or equivalent technical experience is strongly desired.

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