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

Role Overview

Business Solutions Manager - Data Science & AI Projects (Revenue Management) at Etihad Airways, based in Abu Dhabi.

Company Overview

Etihad Airways is the UAE's national airline, shaping the future of global aviation from its hub in Abu Dhabi. The company connects people across continents and cultures while executing its "Journey 2030" ambition to double its fleet, expand its network and grow its people for a new era of excellence.

Role Purpose

To lead data science and machine-learning projects from ideation through production, turning complex Revenue Management and commercial challenges into scalable analytical solutions that support real-world commercial decisions at scale.

Key Responsibilities

Project Leadership & Delivery

• Lead data science, machine-learning and AI projects from ideation and model development through proof-of-concept, deployment and productionization.
• Own the complete lifecycle of analytical solutions, defining problems, developing models, building and testing proofs-of-concept, and deploying solutions.
• Help move successful prototypes beyond experimentation and into robust, production-ready solutions.

Model Development & Optimization

• Develop and enhance machine-learning models supporting dynamic pricing, forecasting, optimization and commercial decision-making.
• Build and continuously improve machine-learning models to ensure they deliver measurable business value.
• Test, validate, calibrate and monitor models to ensure continued performance and business impact.

Ancillary Pricing & Revenue Capability

• Play a key role in evolving Etihad's in-house ancillary dynamic pricing capability using data science and machine learning.
• Lead the evaluation, implementation and optimization of dynamic ancillary pricing capabilities to maximize ancillary revenue while enhancing customer value and conversion.

Innovation & Use Case Development

• Identify new opportunities to apply AI, machine learning and advanced analytics to real Revenue Management and commercial challenges.
• Identify, evaluate and implement Artificial Intelligence and Machine Learning use cases to improve operational efficiency, revenue generation and customer experience.
• Build entirely new analytical products as Etihad continues to expand the use of advanced analytics, automation and AI across Revenue Management.

Stakeholder Engagement & Adoption

• 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.
• Promote the adoption of AI-driven insights and automation across commercial processes to support innovation and continuous improvement.

Qualifications & Experience

• 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.
• Exposure to platforms such as Databricks and cloud environments including GCP, Azure or AWS.
• Knowledge of Revenue Management, pricing, forecasting or optimization would be highly valuable.
• Airline or travel industry experience would be strongly preferred, though candidates who can demonstrate strong data science capability and the ability to apply it to complex commercial problems are welcome to apply.

Skills & Competencies

• Strong Python and/or R capability and experience working with modern data science tools and platforms.
• Strong project leadership and stakeholder management capability.
• The ability to explain complex technical concepts and model outputs in commercially meaningful terms.

Additional Information

Recruitment Process

• Applications will be reviewed by a human member of the Recruitment Team.
• Shortlisted applicants will be invited to complete a recorded video interview via HireVue, a third-party platform, to demonstrate knowledge and experience and ensure fairness across all candidates.
• After video interview review, 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 of their application status as soon as possible.