About The Position

As a core member of PM Hotel Group's Business Development team, the Manager | Feasibility, Financial Analysis & Operational Analytics plays a hybrid role that combines traditional underwriting and development responsibilities with advanced operational analytics leadership. This role is approximately 50% focused on sourcing, evaluating, and underwriting new management opportunities and 50% focused on building analytical tools, operational dashboards, and performance insights that drive portfolio-wide results. This individual partners closely with senior leadership, property operations, revenue management, finance, and ownership groups to evaluate opportunities, develop proposals, and bring data to life through compelling visualizations and business intelligence tools. Beyond executing deals, the Manager leverages Power BI, internal operating data, and performance benchmarks to refine underwriting assumptions, enhance portfolio efficiency, and support a data-driven culture across the organization.

Requirements

  • Bachelor's degree required with a degree in Finance, Hospitality Management, Business Analytics, or a related field strongly preferred.
  • 3 to 6 years of progressive experience in hotel feasibility, finance, or revenue/operations strategy with a solid understanding of hotel operations and performance metrics.
  • Demonstrated experience working directly with senior executives, ownership groups, and brand partners within the hospitality industry.
  • Proven ability to analyze and interpret data to drive operational and financial improvement across multiple properties.
  • Proficiency in Power BI strongly preferred (data modeling, DAX, Power Query, dashboard design); Tableau, SQL, STR, HotStats experience a plus.
  • Strong financial modeling and underwriting skills, with the ability to connect market, operational, and financial insights.
  • Exceptional communication and presentation skills, capable of translating complex analyses into clear, actionable recommendations for non-technical audiences.
  • Strong leadership and team management abilities, with experience mentoring analysts and fostering cross-departmental collaboration.
  • Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced, deadline-driven environment.
  • Job requires working nights and weekends when necessary.

Responsibilities

  • Lead market research, feasibility, and underwriting efforts for third-party management opportunities, incorporating internal performance benchmarks and operational KPIs into deal assumptions.
  • Develop institutional-grade deliverables, including management proposals, pro formas, strategic memoranda, and presentations for ownership groups and brand partners.
  • Maintain the development pipeline, collaborate on deal strategy, participate in weekly pipeline discussions, and guide analysts in the preparation of supporting analyses.
  • Synthesize competitive data, macroeconomic trends, and transaction activity into actionable insights that shape deal strategy and PM Hotel Group's growth priorities.
  • Support relationship development with brokers, owners, lenders, and brand representatives, representing PM as a strategic analytical partner.
  • Build and maintain Power BI dashboards that integrate PMS, POS, STR, HotStats, labor, and internal benchmarks to provide clear visibility into portfolio and property results.
  • Design data models and visualization tools that assess RevPAR, ADR, occupancy, GOP, staffing productivity, guest satisfaction, profitability, and other core KPIs.
  • Partner with Operations, Revenue Management, and Finance teams to identify performance opportunities, translate data into actionable recommendations, and track the impact of initiatives.
  • Integrate operational intelligence into underwriting practices to improve forecast accuracy, deal selectivity, and risk assessment metrics.
  • Lead ad-hoc analytical projects requiring cross-departmental collaboration, conducting deep-dive analyses that inform strategic initiatives, capital planning, and asset optimization.
  • Recommend and evaluate new data analytics platforms, reporting methods, and process improvements that strengthen the Support Center's analytical capabilities.
  • Mentor analysts in data modeling, visualization best practices, and operational KPI interpretation to support a consistent data-driven approach across the organization.
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