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🏢 Empleo privado

Lead Pricing & Revenue Manager

Organismo
loveholidays
País
🇬🇧 Reino Unido
Lugar
London
Puestos
1
Tipo de vínculo
privado

Descripción del puesto

Why loveholidays? At loveholidays - we trailblaze together . We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams , you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. About the team The Revenue Management team is responsible for maximising final margin and driving sustainable growth by strategically managing key commercial levers, including pricing, payment plans, and cancellation terms. The impact you’ll have Reporting to the Head of Pricing and Revenue Management, you will lead the Revenue Management Centre of Excellence. You will shape the strategy, policies and capabilities that enable confident pricing, payment-plan and cancellation-term decisions across the business. Working with Platform and commercial teams, you will set the principles, guardrails and ways of working that support scalable, long-term commercial performance. Your day-to-day: Shape cross-market Revenue Management strategy, setting clear commercial principles, policies and decision guardrails. Use market and operational insight to identify structural opportunities to strengthen our pricing power and long-term commercial performance Lead cross-functional strategic initiatives and experiments with commercial and Platform teams from concept to delivery, navigating trade-offs. Identify high-value AI use cases and apply AI tools to improve the Revenue Management team’s efficiency, capacity and qualit

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