Data Lead – Commercial Domain

Overview

As Data Lead, Commercial Domain at easyJet, you shape the data agenda for the Commercial leadership and translate strategy into a prioritized data roadmap. You influence outcomes through collaboration with cross-functional teams and enable measurable value across revenue, efficiency, and customer experience. This high-visibility role leverages data capability to unlock enterprise opportunities in a fast-paced, matrix environment. You drive product-thinking and governance to support commercial growth and risk management.

Pay / Benefits

• Up to 30% maximum bonus
• Private Medical Insurance
• 7% pension contributions
• Excellent staff travel benefits
• 25 days of annual leave plus bank holidays
• Annual credit towards an easyJet holiday

Responsibilities

• Own and shape the Commercial domain data strategy and roadmap
• Define, prioritise and track a portfolio of high-value data initiatives
• Act as a trusted advisor to Commercial leadership on data opportunities and challenges
• Translate business problems into data products, analytics use cases and delivery priorities
• Coordinate cross-functional delivery squads of analysts, engineers, architects, scientists and product specialists
• Drive adoption of data products and embed product-thinking across the domain
• Secure resources and manage competing priorities across shared teams
• Champion data governance, quality and compliance within the Commercial domain
• Build strong relationships across business areas to unlock enterprise-wide opportunities
• Develop data maturity and promote data ownership across stakeholders and teams

Key requirements

• Significant experience in data and analytics, ideally in aviation, travel, retail, financial services, hospitality, telecoms or similar industries
• Track record of delivering measurable commercial outcomes through data
• Experience influencing senior stakeholders and operating as a trusted business partner
• Proven success coordinating multi-disciplinary teams in a matrix environment
• Strong understanding of revenue management, pricing, inventory optimization, demand forecasting or ancillary revenue analytics
• Knowledge of modern data platforms, ideally Databricks, with familiarity across cloud technologies
• Understanding of data products, domain-led operating models and modern governance practices
• Ability to communicate complex technical concepts clearly
• Strong stakeholder management, prioritisation and decision-making skills
• Pragmatic, outcome-focused approach and ability to operate in ambiguity

• Stakeholder management
• Decision-making under ambiguity
• Effective communication of complex concepts
• Databricks
• Cloud technologies
• Data platforms

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