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Cliste Hospitality is seeking an experienced Group Revenue Manager to lead revenue strategy across a portfolio of independently branded hotels. This is a senior, commercially focused role with genuine scope — starting at five properties, with the portfolio expected to grow. You will be supported by two direct report Revenue Managers and will report into the Group CEO. Working closely with General Managers, Sales, Marketing and Finance teams across the group, you will drive the pricing, inventory and distribution strategies that maximise RevPAR, rooms profit and total revenue across the portfolio.
Job Responsibility:
Develop and execute dynamic pricing strategies across all managed properties
Optimise room inventory across transient, corporate, group, OTA, wedding and conference segments
Drive Total Revenue Management strategies spanning rooms, F&B, meetings & events and ancillary revenue
Collaborate with the Directors of Sales, International Sales and Marketing on corporate rate strategy
Advise on bedroom inventory configuration per property and manage room block policies
Grow upsell revenue across executive rooms, breakfast and ancillary services
Produce accurate daily, weekly, monthly and annual forecasts
monitor KPIs
Prepare revenue performance presentations for group leadership and conduct variance analysis
Oversee rate loading and parity across all channels and build strong OTA partner relationships
Evaluate channel performance and cost of acquisition in collaboration with the Director of Marketing
Conduct regular competitive set analysis and adjust strategies
Project manage PMS installations and evaluate emerging revenue management AI technologies
Chair weekly revenue meetings with each hotel
Coach and develop revenue, reservations and front office teams
Requirements:
A minimum of six years' hotel revenue management experience
Experience managing revenue across multiple hotels simultaneously — this is essential
Strong collaborative and stakeholder management skills across multi-property environments
Advanced forecasting, data analysis and commercial acumen, with confident presentation skills
Proficiency with PMS, RMS and distribution platforms
genuine interest in revenue management technology and AI