About the role
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.
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