VP, Revenue Management

Public Storage•Burbank, CA

13h•Hybrid

About The Position

Public Storage is seeking a Vice President of Revenue Management to lead enterprise revenue strategy and optimize revenue growth, occupancy, pricing, customer acquisition, and long-term portfolio performance. The role serves as the senior subject matter expert for pricing, demand forecasting, inventory optimization, and revenue performance, translating enterprise growth objectives into actionable strategies across markets, customer segments, channels, and properties. The VP will lead pricing and revenue optimization, establish pricing frameworks responsive to demand and local market conditions, and improve forecasting and analytics capabilities. The position partners with Data & Analytics and Technology teams on predictive modeling, AI, machine learning, and decision-support tools, while using customer and market intelligence to guide pricing, promotions, and investment priorities. This leader works closely with the Chief Revenue Management and Marketing Officer and partners across Marketing, Operations, Finance, Technology, Digital, and Data & Analytics. The role also defines the future-state vision for revenue management capabilities, builds scalable governance and operating processes, and develops a high-performing revenue management organization. Success is measured by sustainable revenue and NOI growth, stronger occupancy and pricing performance, improved forecasting and customer acquisition economics, faster and better-informed decisions, effective use of advanced analytics and automation, and organizational capability and leadership depth. The position is office-based five days per week, with up to three flexible remote-work days per month.

Requirements

Bachelor’s degree in Business, Economics, Finance, Mathematics, Statistics, Engineering, Data Science, or a related discipline.
12 or more years of progressive experience in revenue management, pricing, commercial strategy, analytics, or a related discipline, including significant senior leadership experience.
Demonstrated success leading revenue management or pricing strategies within a large-scale, multi-location, consumer-facing business.
Deep expertise in pricing strategy, demand forecasting, revenue optimization, customer analytics, and performance management.
Strong understanding of price elasticity, segmentation, inventory optimization, experimentation, and predictive analytics.
Experience leveraging advanced analytics and technology to improve commercial decision-making.
Ability to translate sophisticated analytical concepts into clear business recommendations for executive audiences.
Experience building and leading high-performing analytical and commercial teams.
Ability to influence and drive results across organizational boundaries in a highly cross-functional environment.
Exceptional business acumen, executive presence, communication skills, and strategic judgment.
Authorization to work in the United States without restrictions or current or future sponsorship.

Nice To Haves

Master’s degree or MBA.
Experience in an industry with sophisticated dynamic pricing or revenue management models, such as hospitality, airlines, travel, rental, real estate, e-commerce, retail, telecommunications, or another consumer business.
Experience developing or transforming enterprise pricing and revenue management capabilities.
Experience with machine learning, AI-enabled pricing, optimization models, and large-scale data environments.
Experience operating within a geographically dispersed portfolio or network business.

Responsibilities

Develop and lead enterprise revenue management strategy to optimize revenue growth, occupancy, pricing, customer acquisition, and portfolio performance.
Serve as the senior subject matter expert for pricing, demand forecasting, inventory optimization, and revenue performance.
Translate enterprise growth objectives into revenue strategies across markets, customer segments, channels, and properties.
Identify revenue opportunities, performance gaps, and market trends, and recommend actions to accelerate growth.
Balance near-term revenue optimization with customer value, competitive positioning, occupancy, and long-term asset performance.
Provide executive leadership with insights into revenue performance, opportunities, risks, and recommended actions.
Lead the development and execution of pricing and revenue optimization strategies across the portfolio.
Establish pricing architecture and decision frameworks responsive to demand, occupancy, seasonality, customer behavior, competition, and local market dynamics.
Optimize the relationship between rental rates, occupancy, customer acquisition, existing customer economics, promotions, and inventory availability.
Evaluate price elasticity and customer response to inform pricing decisions.
Establish experimentation and testing methodologies to improve revenue outcomes.
Advance forecasting capabilities for demand, revenue, occupancy, customer behavior, and portfolio performance.
Partner with Data & Analytics and Technology teams to use advanced analytics, machine learning, AI, and predictive modeling in revenue decisions.
Establish revenue management metrics, dashboards, and leading indicators.
Build frameworks to convert complex datasets into actionable commercial insights.
Evaluate model performance and ensure algorithms and tools evolve with business and market conditions.
Develop understanding of customer demand, purchasing behavior, competition, and local market conditions.
Partner with Marketing on pricing, demand generation, digital acquisition, promotions, segmentation, and conversion strategies.
Monitor competitive pricing and economic and industry trends to anticipate demand changes.
Use customer and market insights to inform revenue strategy, offerings, promotions, and investment priorities.
Partner with the Chief Revenue Management and Marketing Officer to integrate revenue management, marketing, customer acquisition, and growth.
Collaborate with Operations on strategies that reflect market realities and can be executed across the portfolio.
Partner with Finance on forecasting, annual planning, budgeting, and performance management.
Work with Technology, Digital, and Data & Analytics teams to define and prioritize capabilities, platforms, and technology investments.
Influence senior leaders through data, business insight, and recommendations, and integrate revenue management into strategic planning and major decisions.
Define the future-state vision and roadmap for revenue management capabilities.
Champion automation, advanced analytics, AI, and machine learning to improve decision quality, speed, scalability, and precision.
Partner with Technology to enhance pricing engines, forecasting tools, analytics platforms, and decision-support capabilities.
Assess emerging technologies, analytical methodologies, and revenue management practices for competitive advantage.
Establish scalable processes, governance, and operating rhythms for enterprise revenue management execution.
Build, lead, develop, and retain a high-performing Revenue Management team.
Establish accountabilities, performance expectations, and decision rights across the function.
Develop revenue management, analytical, and commercial leadership capabilities; build succession plans and a strong talent pipeline.
Foster intellectual curiosity, rigorous analysis, experimentation, accountability, collaboration, and continuous improvement.