Director - Hospitality Analytics - Corporate (Las Vegas)

Caesars Entertainment•Las Vegas, NV

2d•Onsite

About The Position

WE ARE CAESARS At Caesars Entertainment, our Mission, Vision & Values reflect our unique purpose, providing people with possibilities and places to have fun. Our Mission, Vision & Values represent a unifying and inspiring way forward, and all Team Members are expected to uphold them. Our Mission: “Create the Extraordinary” Our Vision: “We create spectacular worlds that immerse, inspire and connect you. We don’t perform magic; we create it with excellence.” Our Values: “Blaze the Trail, Together We Win, All-In on Service” Our corporate social responsibility framework, People Planet Play, represents our continuous dedication to enhancing economic development, uplifting the wellbeing of our Team Members and their families, and making positive contributions to the communities we operate in. JOB SUMMARY This leader will oversee a team, guiding both the technical direction and business impact. They will serve as a strategic partner to senior Hospitality leadership, ensuring that Caesars’ revenue management and price optimization capabilities evolve into world class, data driven systems. HOW YOU WILL CREATE THE EXTRAORDINARY Serve as a trusted advisor to senior Hospitality and Revenue Management leaders, deeply understanding business objectives and identifying opportunities for revenue lift, margin improvement, and operational efficiency. Prioritize analytical and data science efforts based on strategic value and expected business impact, balancing new development with ongoing operational support. Ensure accuracy, speed, and clarity in all analytical deliverables, modeling, and reporting from the team. Translate model outputs and analytical insights into clear narratives that influence strategic decisions across Hospitality leadership. Lead the design, development, and enhancement of revenue management systems, pricing algorithms, forecasting models, and optimization engines. Oversee creation and deployment of predictive models, machine learning solutions, and analytical tools that drive pricing, inventory management, and customer strategy. Partner with Technology and Product teams to evolve analytics into scalable, resilient, and reliable enterprise products. Define and maintain the long‑term analytics & data science strategy for Revenue Management. Guide the team in producing high‑quality analyses, models, and insights related to customer behavior, demand forecasting, elasticity, competitive dynamics, and price optimization. Ensure analytic findings and recommendations are presented clearly and are actionable for senior management. Establish standards for modeling, experimentation, and data quality across Hospitality Analytics. Oversee the design and delivery of reporting that provides operational leaders visibility into performance drivers, demand trends, and pricing outcomes. Drive continuous improvements in reporting automation, data quality, and visualization. Champion the use of modern analytical technologies including SQL, Python, R, BigQuery/Cloud data platforms, AI/ML frameworks, and contemporary visualization tools. Drive adoption of new tools, automation opportunities, and process efficiencies across the analytics lifecycle. TOGETHER WE WIN We believe in delivering family-style service—an approach that fosters warmth, connection, and a genuine sense of belonging. Our team treats every guest and colleague with the same care and hospitality we would extend to family, creating a welcoming environment built on respect, teamwork, and personalized attention. Whether assisting customers or collaborating with coworkers, we prioritize service that is thoughtful, supportive, and rooted in genuine relationships DISCLAIMER This is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the current job or to require that other or different tasks be performed when circumstances change, (e.g. emergencies, changes in personnel, workload, rush jobs or technical developments). EQUAL EMPLOYMENT OPPORTUNITY Caesars Entertainment is an Equal Opportunity Employer. Caesars Entertainment will not discriminate against any employee or applicant based upon a person’s race, color, creed, religion, national origin, sex, marital status, disability, status with regard to public assistance, age, sexual or affectional orientation, gender identity, familial status, ancestry, local human rights commission activity, citizenship, genetic information, protected veteran or military status, or any other protected class.

Requirements

Must be 21 years of age or older
Bachelor’s degree in Mathematics, Statistics, Data Science, Operations Research, Economics, Engineering, or another quantitative field.
Demonstrated experience leading data science or advanced analytics teams with a track record of building or managing predictive models and optimization tools.
Experience working with or supporting revenue management, pricing, forecasting, or yield optimization functions (hospitality or similar industry strongly preferred).
Superior skills in SQL and proficiency in at least one programming language such as Python or R.
Strong ability to translate complex analysis into clear, compelling recommendations for senior executives.
Proven leadership capabilities including team development, stakeholder management, prioritization, and execution.
Exceptional critical thinking, communication, and problem‑solving abilities.
High standards of integrity, collaboration, and accountability.

Nice To Haves

Graduate degree in Mathematics, Statistics, Data Science, Operations Research, Economics, or related technical field.
7+ years of professional experience in analytics and/or data science, including revenue‑related applications.
Experience designing or deploying revenue management or price optimization systems.
Experience with data visualization tools such as Tableau or Power BI.
Prior experience in gaming, hospitality, travel, or retail industries.
Familiarity with A/B testing, uplift modeling, and statistical experimentation.

Responsibilities

Serve as a trusted advisor to senior Hospitality and Revenue Management leaders, deeply understanding business objectives and identifying opportunities for revenue lift, margin improvement, and operational efficiency.
Prioritize analytical and data science efforts based on strategic value and expected business impact, balancing new development with ongoing operational support.
Ensure accuracy, speed, and clarity in all analytical deliverables, modeling, and reporting from the team.
Translate model outputs and analytical insights into clear narratives that influence strategic decisions across Hospitality leadership.
Lead the design, development, and enhancement of revenue management systems, pricing algorithms, forecasting models, and optimization engines.
Oversee creation and deployment of predictive models, machine learning solutions, and analytical tools that drive pricing, inventory management, and customer strategy.
Partner with Technology and Product teams to evolve analytics into scalable, resilient, and reliable enterprise products.
Define and maintain the long‑term analytics & data science strategy for Revenue Management.
Guide the team in producing high‑quality analyses, models, and insights related to customer behavior, demand forecasting, elasticity, competitive dynamics, and price optimization.
Ensure analytic findings and recommendations are presented clearly and are actionable for senior management.
Establish standards for modeling, experimentation, and data quality across Hospitality Analytics.
Oversee the design and delivery of reporting that provides operational leaders visibility into performance drivers, demand trends, and pricing outcomes.
Drive continuous improvements in reporting automation, data quality, and visualization.
Champion the use of modern analytical technologies including SQL, Python, R, BigQuery/Cloud data platforms, AI/ML frameworks, and contemporary visualization tools.
Drive adoption of new tools, automation opportunities, and process efficiencies across the analytics lifecycle.