Summary
Qatar Airways is hiring a Data Science Manager in Doha to lead data science and AI initiatives within its Enterprise Data & Analytics department. The role oversees the development and maintenance of predictive models and AI systems, and uses advanced analytics to support strategic and operational decisions. Responsibilities include shaping the department’s roadmap, ensuring data quality, coordinating with engineering teams and business stakeholders, and managing and developing employees. The posting does not state specific qualifications, salary or visa conditions.
The posting
As published on qatarairways.com. Pulled from the employer's site and shown as they wrote it.
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