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Location
In office (Doha)

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 13, 2026.

Overview
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Qatar Airways is the state-owned flag carrier of Qatar, headquartered in Doha and operating a hub-and-spoke passenger and cargo network from Hamad International Airport. Established by the Qatari government in 1993 and fully state-owned since 2013, it flies more than 200 Airbus and Boeing aircraft on around 170 international routes, has been a Oneworld member since 2013, and its group employs more than 43,000 people. Its careers site lists roles in Doha and overseas stations covering cargo sales and operations, customer service and contact center agents, aircraft engineering, IT and data, and catering for Qatar Duty Free.

About the role:

As the Data Science Manager, your role is to execute and oversee the development of data science and AI use cases within the Enterprise Data &Analytics (ED&A) department, in support of the enterprise wide Data and AI Strategy across Qatar Airways. The role involves leading the application of advanced analytics, machine learning, and AI techniques to deliver actionable insights that inform strategic and operational decisions within Enterprise Data Analytics Department. You will collaborate with cross-functional teams to identify opportunities for data-driven innovation, oversee the development of intelligent solutions, and contribute to the airline’s digital transformation journey. Additionally, you will oversee development and maintenance of predictive models and AI systems that enhance performance and efficiency across multiple business domains under ED&A.

Key Responsibilities:

Operational

  • Contribute to shaping the data science and AI roadmap for the ED&A department, ensuring use cases are aligned with enterprise strategy and business priorities.
  • Execute and oversee the development and delivery of data science and AI use cases for all assigned portfolios within the ED&A department.
  • Ensure data quality, accuracy, and enrichment across datasets within the scope of ED&A responsibilities.
  • Serve as a subject matter expert for AI and data modeling initiatives across ED&A portfolios.
  • Design and implement AI models and algorithms to automate analytics processes and identify trends, risks, and anomalies.
  • Develop and maintain scalable data models that enable planning, forecasting, and reporting for various business domains.
  • Facilitate effective communication between data engineering teams and portfolio stakeholders to gather and refine requirements.
  • Deliver actionable analysis based on AI outputs and data models to inform business strategies and portfolio objectives.
  • Continuously improve existing models and analytical tools to enhance efficiency and accuracy.
  • Ensure timely and prioritized deliverables by applying agile methodology.
  • Proactively identify opportunities for innovation, optimization, and value creation across all ED&A portfolios.
  • Perform other department duties related to his / her position as directed by the Head of the Department.

Management & Leadership

  • Establish the department or teams objectives and priorities to align with and support business objectives.
  • Regularly evaluate the department or teams objectives, plans, procedures and practices, and makes appropriate changes if needed.
  • Oversee and supervise employees. Direct daily activities, recruit, train, develop and discipline to ensure a high standard of service delivery.
  • Train and develop other employees, to ensure succession planning is in place.
  • To be committed and contribute to the National talent development, by coaching the national developees, preparing them for a career with boundless potential. Leading to the program’s continued growth and success.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible

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