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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche airline RM expertise and senior level limit candidate pool despite Bengaluru metro and known travel-tech employer.
Deep airline pricing, offer optimization, and RM modelling create strong domain specificity, limiting cross-industry transfers.
Multiple mandatory airline RM, modelling, systems, and 8+ years experience requirements tighten shortlisting significantly.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end implementation of Offer Optimization, Dynamic Pricing, and Revenue Management solutions for airlines, including project kick off, business process assessment, and customer transition.
Guide airlines on Pricing and Revenue Management best practices and use cases; collaborate with Operations Research teams to deploy and fine-tune pricing models for improved solution delivery.
Lead data gathering and validation phases; coordinate with internal teams and clients to ensure solution adoption, issue resolution, and enhancement feedback loops.
Minimum Requirements
8+ years experience in airline Pricing, Revenue Management, and associated ML/OR models, including Dynamic Pricing and Offer Optimization.
Strong data analytical skills and working knowledge of SQL & NoSQL databases; experience with travel distribution/reservation systems (Sabre, Galileo, Amadeus).
Bachelor's degree or equivalent technical experience preferred.
Willingness to travel 30-50%; proficient English communication skills.
Ideal Candidate Profile
Experienced in airline Revenue Management domain with deep understanding of Offer Optimization and relevant business processes.
Capable of leading complex solution implementations involving multidisciplinary teams and client engagement, including onsite interactions.
Analytical and technically proficient, able to work with data validation, modeling teams, and translate model outputs into actionable business insights.