Business Solutions Manager - Data Science And AI Projects Revenue Management

Job Description:

Turn data science into real-world commercial decisions.

We're looking for a hands-on Data Science and AI professional to join Etihad's Solutions & Innovation team and help build the next generation of analytical solutions supporting our Revenue Management function.

This isn't a role where you'll simply analyze data and make recommendations.

You'll take ownership of data science and machine-learning projects from idea to production – defining the problem, developing the model, building and testing proof-of-concepts, deploying solutions and continuously improving their performance.

One of your key areas of focus will be the continued development of Etihad's in-house ancillary dynamic pricing capability
, applying data science and machine learning to help make smarter, more responsive commercial decisions at scale.

You'll also have the opportunity to identify and build entirely new solutions as Etihad continues to expand the use of advanced analytics, automation and AI across Revenue Management.

• 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.
• Play a key role in evolving our in-house ancillary dynamic pricing capability.
• 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.
• Help move successful prototypes beyond experimentation and into robust, production-ready solutions.
• Support adoption and change, ensuring new solutions become embedded in commercial decision-making.
• 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

This is an opportunity to work at the intersection of data science, AI and commercial aviation
.

Rather than developing models that remain experimental, you'll see your work translated into solutions used to support real commercial decisions across Etihad. You'll inherit existing products to improve, including our ancillary dynamic pricing capability, while also having the opportunity to develop new solutions from the ground up.

As Etihad continues its growth under Journey 2030, you'll be joining a team focused on using technology, advanced analytics and innovation to rethink how commercial decisions are made.

If you're a data scientist who wants to move beyond experimentation and build solutions that make it all the way into production, we'd like to hear from you.

What we're looking for

You'll bring a strong combination of hands-on data science capability and project leadership
. You should be equally comfortable getting into the technical detail of a model and working with business stakeholders to understand the commercial problem you're trying to solve.

Ideally, you'll have:

• A 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…