Business Solutions Manager - Data Science & AI Projects (Revenue Management)

Job Overview

Responsibilities

• Lead data science, machine-learning and AI projects from ideation and model development through POC, deployment and productionization.
• Develop and enhance machine-learning models supporting dynamic pricing, forecasting, optimization and commercial decision-making.
• Identify new opportunities to apply AI, machine learning and advanced analytics to real Revenue Management and commercial challenges.
• Build new analytical products while continuously improving existing models and solutions.
• Test, validate, calibrate and monitor models to ensure they continue to deliver measurable business value.
• Partner with Revenue Management, Digital, Technology & Innovation and Commercial teams to turn complex business problems into scalable technical solutions.
• Translate sophisticated analytical outputs into clear commercial insights that stakeholders can understand and act upon.
• Support adoption and change, ensuring new solutions become embedded in commercial decision-making.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology or another relevant quantitative discipline.
• 5+ years’ experience across data science, machine learning, AI or advanced analytics.
• Strong hands-on experience building machine-learning models and taking them through the complete lifecycle into production.
• Experience working with large, complex datasets and developing scalable analytical solutions.
• Knowledge of Revenue Management, pricing, forecasting or optimization.
• Airline or travel industry experience.

Qualifications

• Strong hands-on data science capability and project leadership.
• Ability to explain complex technical concepts and model outputs in commercially meaningful terms.
• Experience with platforms such as Databricks and cloud environments including GCP, Azure or AWS.
• Strong project leadership and stakeholder management capability.
• Good communication and interpersonal skills.
• Professional appearance and demeanor.
• Ability to work in shifts, including nights and weekends.
• Extensive experience in leading the evaluation, implementation, and optimization of dynamic ancillary pricing capabilities to maximize ancillary revenue while enhancing customer value and conversion.
• Identify, evaluate, and implement Artificial Intelligence and Machine Learning use cases to improve operational efficiency, revenue generation, and customer experience.
• Promote the adoption of AI-driven insights and automation across commercial processes to support innovation and continuous improvement.

Why This Role?

• Opportunity to work at the intersection of data science, AI and commercial aviation.
• See your work translated into solutions used to support real commercial decisions across Etihad.
• Inherit existing products to improve, including our ancillary dynamic pricing capability, while also having the opportunity to develop new solutions from the ground up.
• Join a team focused on using technology, advanced analytics and innovation to rethink how commercial decisions are made.
• Support Etihad’s growth under Journey 2030.

Recruitment Process

• Applications will be reviewed by a human member of our Recruitment Team.
• Shortlisted applicants will be invited to complete a recorded video interview via our third-party platform HireVue.
• After a review of completed video interviews, shortlisted candidates will be invited to an initial technical interview with the hiring manager.
• Finalists may be invited to a follow-up interview involving the completion and presentation of a relevant business case.
• All candidates will be notified as to the status of their application as soon as possible.