Senior Director, Portfolio Performance Data Strategy

Sonesta Hotels International Corporation

Newton (NJ)

On-site

USD 111,000 - 185,000

Full time

10 days ago

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Benefits offered by this job

Medical, Dental and Vision Insurance
Health Savings Account with Company M
401(k) Retirement Plan with Company M

Job summary

Sonesta International Hotels is seeking a Senior Director to design and maintain a scalable financial data model for its hotel portfolio. The role requires private equity-style analysis, rigorous data handling, and presenting investment insights to the Executive Leadership Team.

You will partner with finance, asset management, and IT to source data, benchmark performance, and drive capital allocation decisions across properties and markets.

Qualifications

  • Bachelor's degree in Finance, Accounting, Economics, or related field; MBA or CFA strongly preferred.

Responsibilities

  • Own design, build, and ongoing evolution of a scalable, enterprise-grade financial data model covering the full hotel portfolio.

Skills

Financial modeling
Excel
SQL
Power BI
Tableau
Executive communication
Leadership

Education

Bachelor's degree in Finance/Accounting/Economics
MBA or CFA

Tools

Power BI
Tableau
SQL

Job description

We're Sonesta International Hotels. The 8th largest hotel company in the U.S.-and growing fast. An epic blend of full-service and focused hotels in major cities, Sonesta's uniquely diverse portfolio of owned, managed, and franchised properties makes us everywhere you want to be. Driven by the human side of hospitality, we deliver service with passion, loyalty with purpose, and experiences that truly connect.

Together We Thrive-bringing quality, value, and amazing hospitality to every guest, every stay, across 1000+ properties in eight countries and counting.

Job Description Summary

We are seeking a Senior Director to build and maintain financial data model that drives strategic decision-making across our hotel operations portfolio. This is a high-impact, senior leadership role for a candidate with keen financial aptitude and deep comfort working with large, complex data sets - someone who can bring private equity-caliber financial analysis and diligence rigor to a hospitality portfolio context. The ideal candidate translates property- and market-level data into decisive insights on investment, divestiture, and performance optimization, and is credible presenting directly to the Executive Leadership Team (ELT).

Job Description
Key Responsibilities
  • Own the design, build, and ongoing evolution of a scalable, enterprise-grade financial data model covering the full hotel portfolio, structured to flex as properties, markets, and data sources are added.
  • Apply private equity-style financial analysis - comparable company/asset benchmarking, driver-based modeling, sensitivity and scenario analysis, and return-oriented framing - to hotel portfolio performance.
  • Aggregate, normalize, and interrogate large sets of property- and market-level data (revenue, occupancy, ADR, RevPAR, GOP, EBITDA, expenses, capex, and comp-set/market data) to produce reliable, decision-grade benchmarking.
  • Lead performance benchmarking of the portfolio against internal targets, competitive sets, and market data, surfacing trends, risks, and opportunities with the clarity and rigor expected of an investment memo.
  • Identify and isolate key performance drivers at the property and portfolio level; build models that quantify the financial impact of adjusting those drivers, and translate findings into concrete performance-improvement or capital-allocation recommendations.
  • Build the financial analyses and investment cases that underpin acquisition, investment, and divestiture decisions, including valuation considerations, risk factors, and downside scenarios.
  • Serve as a senior thought partner to the VP of Data Optimization and Strategy, shaping how business questions are framed, modeled, and answered.
  • Own executive-level reporting and storytelling - distilling complex, data-heavy analysis into sharp, decision-ready narratives for ELT and the Board, where relevant.
  • Set standards for data model architecture, governance, and documentation to ensure the model remains accurate, auditable, and scalable as a long-term strategic asset.
  • Build strong cross-functional partnerships with Finance, Asset Management, Operations, and IT/Data teams to source, validate, and integrate data, and to drive adoption of the model as a decision-making tool.
  • Maintain a current, sophisticated view of hotel industry performance metrics, market dynamics, and benchmarking methodologies (e.g., STR data, comp set analysis).
Required Qualifications
  • Bachelor's degree in Finance, Accounting, Economics, or related field; MBA or CFA strongly preferred.
  • 8-12+ years of progressive experience in financial analysis, portfolio/investment analysis, or asset management, with meaningful exposure to private equity, investment banking, real estate investment, or a comparable high-rigor financial analysis environment.
  • Track record of building and owning sophisticated financial or data models involving large, multi-source, imperfect data sets - and using them to influence real capital or operating decisions.
  • Strong grounding in hotel industry financial metrics (RevPAR, ADR, occupancy, GOP, EBITDA) and market benchmarking practices (e.g., STR/comp set data), or the ability to rapidly translate PE/real estate financial rigor into the hospitality context.
  • Advanced financial modeling skills (Excel at an expert level); experience with SQL, Power BI, Tableau, or similar BI/data tools strongly preferred.
  • Demonstrated ability to synthesize complex, ambiguous data into sharp, actionable insight for executive audiences - with the judgment to know what matters and what doesn't.
  • Exceptional written and verbal communication skills; comfortable and credible presenting directly to ELT and senior stakeholders.
  • Strong leadership presence and business judgment, with the ability to connect granular data analysis to portfolio-level investment, divestiture, and operational strategy.
  • Monitor and track real estate investment returns on investments.
  • Oversee impact on corporate shell company cash sources and uses.
Preferred Qualifications
  • Direct experience in private equity, investment banking, or real estate investment/asset management, ideally with hospitality or real asset exposure.
  • Familiarity with hotel industry data platforms (e.g., STR, CoStar, HotStats) and enterprise data warehouse/BI environments.
  • Prior experience building data infrastructure or analytical capability from the ground up within a corporate or investment organization.
  • Experience managing or mentoring junior analysts.
What Success Looks Like
  • A durable, scalable financial data model that becomes the organization's single source of truth for portfolio performance and strategic decision-making.
  • Investment-grade analysis and recommendations that materially inform ELT decisions on capital allocation, investment, and divestiture.
  • A portfolio benchmarking capability that consistently and credibly measures performance against market and competitive sets.
  • Recognition as a trusted senior voice at the intersection of data, finance, and strategy.
Additional Job Information/Anticipated
Pay Range

Pay range: Up to $185,000. Base pay offer may vary depending on various factors, including but not limited to job related knowledge, skills and job specific overall experience

Benefits
  • Medical, Dental and Vision Insurance
  • Health Savings Account with Company Match
  • 401(k) Retirement Plan with Company Match
  • Paid Vacation and Sick Days
  • Sonesta Hotel Discounts
  • Educational Assistance
  • Paid Parental Leave
  • Company Paid Life Insurance
  • Company Paid Short Term and Long Term Disability Insurance
  • Various Employee Perks and Discounts
  • Hospital Indemnity
  • Critical Illness Insurance
  • Accident Insurance

Sonesta is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

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