AI & Data Science Lead

Qatar Airways Group; Doha; On-site; QAR 300,000 - 540,000; Full time

Job summary

Qatar Airways Group is seeking a Data Science Manager to lead the development and execution of data science and AI use cases across the Enterprise Data & Analytics (ED&A) department. You will guide cross-functional teams, ensure data quality, and develop scalable AI solutions to drive strategic decisions across multiple business domains.

The role requires a strong background in Python, SQL, and GCP, with proven leadership in delivering AI-driven initiatives and measurable business value.

Qualifications

• Bachelor’s Degree or equivalent with minimum 6 years of job-related experience.
• Experience in Data Science and Artificial Intelligence, with a proven track record of leading, developing, and overseeing the delivery of AI and data science initiatives and use cases.
• Strong proficiency in Python, SQL, and other relevant programming languages for data analysis, machine learning, AI model development, and data processing, with hands-on experience in Google Cloud Platform (GCP) services for designing, developing, and deploying scalable AI and data science solutions.
• Proven ability to identify, prioritize, and oversee AI use cases end-to-end, optimizing business processes and delivering measurable business value through data-driven solutions.
• Demonstrated experience in managing, processing, and analyzing large and complex datasets, leveraging advanced analytical techniques to generate insights and support strategic decision-making.

Responsibilities

• Shape 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.
• 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.

Skills

Python

SQL

AI/ML

Big Data

Education

Bachelor’s degree or equivalent

Tools

GCP

Job description

Qatar Airways Group is seeking a Data Science Manager to lead the development and execution of data science and AI use cases across the Enterprise Data & Analytics (ED&A) department. You will guide cross-functional teams, ensure data quality, and develop scalable AI solutions to drive strategic decisions across multiple business domains.

The role requires a strong background in Python, SQL, and GCP, with proven leadership in delivering AI-driven initiatives and measurable business value.