Lead Revenue Management and Offer Optimization

Role overview

Responsibilities

• Support implementation from project kickoff and business process assessment through transition to customer care.
• Train airline analysts on the application and support adoption into customer business processes.
• Advise airlines on pricing and revenue management best practices and relevant use cases.
• 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 revenue optimization and dynamic pricing solutions.
• Coordinate with project, account, implementation, and development teams to meet customer expectations and resolve issues.
• Lead data gathering before implementation and data validation through solution delivery.
• Communicate between technical teams and customers; support Customer Care with maintenance service requests.
• Follow approved methods, processes, and tools; work with minimal oversight and collaborate effectively.
• Mentor and train new business analysts on solutions and processes.
• Contribute to RFP and sales operations by defining work orders and implementation costs.

Required experience and skills

• Airline pricing and revenue management experience, or relevant experience.
• Understanding of the airline offer-order ecosystem or similar experience; knowledge and experience in airline offer optimization and management.
• At least 8 years in revenue management, pricing, and associated ML/OR models for an airline using O&D revenue management solutions, or similar experience.
• Strong data analytical skills and demonstrated application of modelling and analytics to real-world travel problems.
• Experience with dynamic pricing, competitive benchmarking, offer optimization, and revenue management applications.
• Understanding of experimentation framework design and model outputs for airline business use cases; exposure to pricing and revenue management models.
• Good understanding of database concepts and working knowledge of SQL and NoSQL databases.
• Experience with one travel distribution or reservation system: Sabre, Galileo, or Amadeus.
• Bachelor’s degree or equivalent technical experience is strongly desired.
• Must be organized, able to multitask, and able to work across areas; should identify problems and determine appropriate escalation.
• Proficient written and spoken English; a second language is an advantage.

Preferred technical skills

• Microsoft Word, advanced Excel, and PowerPoint.
• SQL Developer, Compass/Studio 3T or equivalent, R or Python, and VBA.
• Google BigQuery and MongoDB; UNIX operating system.

Travel

• Must be willing to travel 30–50% of the time.