Revenue Management Systems Manager

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JOB DESCRIPTION / ROLE

Employment: Full Time

Synopsis

In this role, you will manage calibration of Revenue Management systems, research, and develop new statistical models for driving revenues, both incremental and quality. Responsible for implementation of new code releases of RM systems, and monitor the overall usage of the systems for effective usage. Recommend best practices of RM systems to users. Develop new algorithms or data models as proof of concepts applying Operations Research in areas of pricing, forecasting, and Optimization.

Accountabilities

- Drive innovation in Pricing & RM systems researching Operations research journals and models presented in industry conferences in collaboration with RM solution providers, PROS, Sabre, Infare, and other system integrators.
- Manage and maintain calibration of pricing models, forecasting, and optimization parameters in Revenue Management systems for better forecast accuracy and effective O&D controls.
- Provide performance feedback to markets teams with KPI reports and enhancing the KPIs to changing business needs. Devise and manage effective KPI metrics to monitor systems' usage and take necessary steps to improve systems usability.
- Calibrate Partner Revenue Optimization tools to provide availability based on their true value contribution based on analysis of revenue retention and payout statistics to codeshare partners
- Research on ways to enhance inventory functionalities in areas of availability calculation, reduce revenue dilution by enhancing or developing new Revenue Integrity processes, and availability troubleshooting diagnostics.
- Manage user acceptance testing of new systems and upgrades of existing RM systems to ensure delivery of requirements as per the business needs without severity one or two defects. Prioritize and coordinate the delivery of bug fixes, enhancements, and new releases of RM systems.
- Drive automation in Pricing & RM systems by developing models to take automated actions or implementing machine learning techniques.

Requirements:
Education & Experience

- Bachelor's degree Computer Science, Engineering, Statistics, Operations Research, Economics or MBA
- 3 to 4 years of experience in Revenue Management systems or Operations Research or statistical modeling or equivalent work experience.
- Experience within the aviation industry in the areas of Commercial, such as, demand forecasting, and optimization.

About Etihad Airways

Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world's leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad's codeshare partners, Etihad's network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. Etihad is recognised as one of the world's leading airlines in response to COVID-19 and was the first airline in the world to fully vaccinate its crew on board.

Etihad sees tackling the climate crisis as the most important issue of our time, and through strategic partnerships with major global aviation brands and OEMs, Etihad is relentless in its pursuit of industry decarbonization.

ABOUT THE COMPANY

Etihad Airways is the National Airline of the United Arab Emirates. The airline was set up by a Royal Decree in July 2003, with Abu Dhabi, the capital of the UAE, as its hub. Etihad started commercial operations in November 2003.

With Etihad, everyone who flies with us is welcomed as our guest.

This simple credo illuminates everything we do, from big things like making sure that our fleet is one of the most advanced in the sky, to small touches like letting you choose the films you watch.

Were proud to be the National Airline of the United Arab Emirates. At the crossroads between Europe and Asia, our home reflects our commitment to bringing the world closer together - as does our highly cosmopolitan staff.

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