Director of Revenue Management

Director of Revenue Management Job Description Template

Our company is looking for a Director of Revenue Management to join our team.

Responsibilities:

  • Contribute to the financial success of the hotel via participation in annual budgeting and sales and marketing plan process;
  • Maintain historical statistical data from all distribution channels, in all market segments;
  • Work with the hotel DOSM and hotel team to establish strategies to increase revenue of both rooms and catering;
  • Continually monitor all pertinent travel related websites to ensure competitiveness in both availability and price;
  • Generate and distribute daily, weekly, and monthly revenue management reports and present results from all segments including internet channels;
  • Comply with attendance rules and be available to work on a regular basis;
  • Generate reports to improve analyst efficiency and improve internal processes;
  • Perform frequent analysis on regional or market level issues and present solutions/recommendations to upper management;
  • Bachelor’s degree preferred or equivalent combination of education and experience;
  • The ability to lead a high performance team;
  • Work with Pricing, Scheduling, Marketing, and others to ensure total revenue is being maximized;
  • Develop and implement cost-effective overbooking strategy;
  • Represent Revenue Management team in cross-departmental projects;
  • Create and produce Key Performance Indicator (KPI) reports to measure analyst performance;
  • Minimum 3-5 years of experience in a Director role.

Requirements:

  • Ability to use PMS, reservation and revenue management systems to forecast and implement optimal strategies;
  • Bachelor’s Degree in Hotel Administration, Business, Statistics, Marketing, Finance or a relevant field of work preferred;
  • Ability to identify relevant data and use it to draw inferences with reference to impact on hotels revenues;
  • Two years revenue management experience required;
  • In-depth understanding of tools- spreadsheets, statistical methods for analyzing data;
  • Strong analytical skills.