Feb 2025 – Present · 1 yr 3 mos

• Lead a 16-person data science and BI team, with a focus on systemwide data products and franchise performance. Shape continent-wide data strategy, delivering scalable analytics products that drive RevPAR and operational results while bridging business and technology to turn strategic goals into actionable insights.
• Advocated for expanded access and tooling for continent analytics teams, influencing shifts in global data governance, security, and infrastructure strategy.
• Led a reorganization of US & Canada analytics to improve stakeholder alignment, streamline project flow, and accelerate delivery.
• Championed development of an AI Agent supporting revenue managers, ensuring responsible usage and accuracy with a seamless user experience.

Mar 2022 – Feb 2025 · 2 yrs 11 mos

• Led a 10-person data science and reporting team delivering analytic products. Oversaw multiple enterprise data products and portals, ensuring alignment with global data strategy and measurable impact on topline performance.
• Reimagined hotel performance tracking with a segmentation and benchmarking model adopted by both franchised and managed properties.
• Led development of a franchise hotel facing report, navigating complicated security and compliance requirements to deliver topline-imacting metrics to over 5,500 franchise hotels.
• Championed analytics literacy, speaking at multiple internal conferences and delivered training on how to better leverage our reporting.

Oct 2018 – Mar 2022 · 3 yrs 5 mos

• Built and led a 7-person data science and engineering team modernizing how data products and reporting supported sales, marketing, and revenue management across the Americas. Drove adoption of automation, self-service, and advanced analytics to accelerate delivery and sharpen commercial decision-making.
• Launched a self-service reporting portal used by 1,000+ associates, replacing manual reporting with automation.
• Boosted sales team impact with an automated alert system that surfaces high-value leads, helping teams identify opportunities and drive incremental revenue.
• Led the conversion of legacy SAS code to Python, increasing efficiency and saving over $10,000 a year.
• Developed a machine learning forecast model to help guide Marriott’s recovery from the COVID-19 pandemic.

Jan 2017 – Oct 2018 · 1 yr 9 mos

• Led overhaul of our monthly RevPAR forecasting process, getting buy-in and action from multiple stakeholders across both revenue management and finance.
• Integrated new mathematical forecasting methods – using ANOVA, machine learning (Random Forests and GBMs) and time series decomposition to create an accurate company forecast that can be turned around in 48 hours.
• Led a team of associates developing the “next generation” of our market compression tool, integrating SPG hotels and more complex machine learning methods.

Apr 2015 – Jan 2017 · 1 yr 9 mos

• Responsible for monitoring adoption and usage of Marriott’s internal pricing and inventory decision support system, including the assessing the impact of internal marking and communication efforts.
• Developed a suite of Tableau dashboards to track system usage and adoption. The dashboard has an audience of over 200 stakeholders and earned me the 2015 Q4 Business Leadership award.
• Used statistical and machine learning methods, including ANOVA, clustering, regression, correlation and case/control tests to understand the impact of system usage on the financial performance of hotels.
• Efforts drove an increase in system adoption of over 30% in six months.

Jan 2014 – Apr 2015 · 1 yr 3 mos

• Responsible for both ad-hoc and recurring reporting using SAS, SQL, Excel, Tableau, R and Cognos to manipulate raw data, and for presenting complex analysis to business users.
• Used machine learning to develop a model of market demand that helped hotels better focus their pricing and inventory mix strategies up to a year in the future – the first such model in the industry.
• Developed a forecasting model and led a monthly forecasting meeting that helped drive forecast accuracy down 5 percentage points over six months.

May 2010 – Jan 2014 · 3 yrs 8 mos

• Responsible for developing and executing the pricing and inventory strategies for 13 hotels, as well as ad-hoc analytical work and strategy analysis.
• Developed a deep understanding of customer segmentation, forecasting and supply and demand which helped drive very strong market share results for my hotels.