Revenue Manager

We are seeking a dedicated and experienced Hotel Revenue Manager to join our dynamic team at the Courtyard Marriott Mount Pleasant and the Residence Inn Mount Pleasant. The ideal candidate will play a pivotal role in maximizing revenue through effective pricing strategies, inventory management, and market analysis. This position requires strong leadership skills and a deep understanding of hotel management and the hospitality industry. The Hotel Revenue Manager will work closely with various departments to ensure optimal guest satisfaction while achieving financial goals.

Responsibilities

• Develop and implement revenue management strategies to optimize room rates and occupancy levels.
• Analyze market trends, competitor pricing, and demand forecasts to make informed pricing decisions.
• Collaborate with sales, marketing, and operations teams to align revenue strategies with overall business objectives.
• Monitor performance metrics and prepare reports on revenue performance for senior management.
• Supervise the reservations team to ensure high standards of guest relations and service delivery.
• Conduct regular training sessions for staff on revenue management principles and practices.
• Utilize various software tools for forecasting and reporting purposes.
• Maintain strong relationships with guests to enhance loyalty and repeat business.

Join our team as we strive to provide exceptional experiences for our guests while maximizing our hotel's profitability!

**Please note, we are ideally looking for a candidate who is in the Charelston market, and this position is in-person, not remote. If you are outside of the Charleston region, but planning to relocate, please not your expected time frame for moving to the area**

• Proven experience in hotel management or revenue management within the hospitality sector.
• Strong leadership skills with the ability to supervise teams effectively.
• Proficiency in hospitality management software and tools.
• Strong analytical skills with attention to detail for data-driven decision-making.