Head of Revenue Management - Airline Business

• Lead the revenue management strategy of a major airline business.
• Drive sustainable revenue growth in a multinational environment.

Our client is a well-established airline operating across multiple markets and serving a high-volume passenger base. The business is focused on delivering profitable growth through sophisticated revenue optimisation, commercial excellence, and customer-centric strategies.

As part of an ongoing transformation journey, the organisation is investing heavily in advanced analytics, digital capabilities, and AI-enabled decision-making to strengthen its competitive position and enhance operational efficiency across the network.

• Define and execute the airline's revenue management and pricing strategy, maximising revenue, profitability, and market share across a complex route network.
• Lead forecasting, demand planning, inventory control, pricing architecture, and customer segmentation initiatives to optimise commercial performance.
• Drive the implementation and adoption of AI-powered pricing solutions, advanced analytics tools, and Business Intelligence platforms to improve decision-making and automation.
• Develop robust competitor benchmarking processes, identifying commercial risks and opportunities while recommending proactive pricing and revenue actions.
• Partner closely with Commercial, Marketing, Finance, Digital, and operational teams to align network, promotional, and revenue optimisation strategies.
• Lead, develop, and mentor a high-performing team of Revenue Managers and Analysts, fostering a culture of accountability, collaboration, and continuous improvement.
• Define, monitor, and report key commercial and operational KPIs, translating complex analytical insights into strategic recommendations for senior leadership.

• Significant experience in Revenue Management, Pricing, or Commercial Strategy within aviation or other complex, capacity-driven industries.
• Proven track record of delivering revenue growth, commercial optimisation, and business performance improvements within large-scale operations.
• Deep expertise in demand forecasting, pricing analytics, elasticity modelling, inventory management, segmentation, and revenue optimisation methodologies.
• Demonstrated success leading specialist teams and influencing senior stakeholders across matrix organisations and cross-functional environments.
• Highly analytical, technologically minded, and commercially driven, with strong leadership capabilities and practical experience applying AI to business challenges.

• A senior leadership role with significant influence over commercial strategy, network performance, and executive decision-making.
• A unique opportunity to shape the future of revenue management through digital transformation, advanced analytics, and AI-driven innovation.
• A competitive compensation package aligned with the strategic importance and scope of the position.