The Director of Revenue Management is responsible for leading the day-to-day execution of pricing, demand forecasting, and revenue optimization strategies across our national portfolio. This role translates strategy into actionable plans that drive performance, occupancy, and profitability. The ideal candidate combines strong analytical skills with an ability to collaborate across teams and turn data insights into measurable results.
Duties and Responsibilities
- Execute pricing and customer rate increase strategies, analyzing performance by market, product type, and customer segment to identify opportunities for revenue growth.
- Manage dynamic pricing processes, including daily, weekly, monthly rate adjustments, and promotional activity across all locations, ensuring alignment with demand trends and competitive positioning.
- Provide revenue and demand analytics to support Construction and Development teams in evaluating new market opportunities.
- Oversee the creation and maintenance of dashboards and reporting tools, including Power BI and Excel to monitor revenue, occupancy, and yield performance.
- Build and refine short and long-term forecasts to inform pricing and demand planning.
- Collaborate closely with Technology, Data Science, Marketing, Operations, and Finance to ensure pricing decisions support occupancy goals, campaign strategies, and financial targets.
- Maintain and optimize pricing systems and tools such as SiteLink, Power BI, and other revenue management platforms.
- Monitor competitor pricing, market dynamics, and customer behavior to identify and respond to trends affecting performance.
- Lead a small team of analysts, providing mentorship, development, and performance feedback to strengthen analytical capabilities and execution.
- Identify and implement process improvements that enhance pricing precision, automation, and operational efficiency.
Qualifications
- BA in Finance, Economics, Data Analytics, or a related field.
- 7+ years of experience in revenue management, pricing analytics, or yield management, ideally in storage, hospitality, multifamily, or other multi-location environments.
- Strong analytical and problem-solving skills with hands-on experience using BI tools such as Power BI, Tableau, or similar platforms, as well as working with large datasets using SQL and Python.
- Experience leveraging advanced analytics, statistical modeling, and AI-driven methodologies to inform pricing, demand forecasting, and revenue optimization decisions.
- Exceptional attention to detail and the ability to translate complex data and model outputs into clear, actionable recommendations for both technical and non-technical stakeholders.
- Strong communication and collaboration skills, with the ability to influence cross-functional partners.
- Proven ability to balance strategic thinking with execution, operationalize analytical insights, and deliver measurable business results.