In this role
you will manage the strategy based on work with vendors and internal stakeholders to ensure the department has dependability of solutions. Provide sufficient subject matter expertise to negotiate with vendors on requirements, proofs of concept, costs, problem resolution. You will own the “application infrastructure” of Revenue Management, including business requirement specification for software vendors, and maintain and upgrade existing systems.
You will lead the design and implementation of a portfolio of systems and solutions required by Revenue Management (RM) to achieve the company’s revenue objectives and KPIs including RASK. You will be responsible for translating the department’s vision and lead a team responsible for both legacy airline host / revenue management forecasting and optimization systems and a “futures” team where data science and operations research form the basis for a new generation of RM solutions. You will create and develop an industry leading research and science team to ensure Qatar Airways is seen as a leader in RM data science.
We are looking for a passionate, high energy individual, with good commercial and technical knowledge of Global Distribution Systems, and strong commercial focus and financial awareness/understanding. Experience leading a team of Data Science Managers within the Revenue Management department of an airline would be ideal. You should have the knowledge and experience to be able to make recommendations on data infrastructure and database relationships. Use programming skills (e.g. SQL, Python, R) during analysis, model design and deployment. You should have the ability to delegate work, set clear directions and manage workflows. Strong mentoring and coaching skills are also essential.
To be successful in this role you will need to be minimum Bachelor’s Degree qualified in related disciplines, with at least 10 years of job related experience within the airline industry. You must be thoroughly proficient with usage of sophisticated RM software and database, and must have good exposure to operations research, revenue management, statistical analysis and forecasting and optimization methods. You should also have an expert level understanding of IT related topics, and good understanding of airlines business process.
This role demands a high level of energy and intelligence. In addition you must have an outstanding communication and presentation skills
Click here to Apply Online