Hilton Grand Vacations

Senior Director, Consumer Data Science – Strategy

Hilton Grand Vacations

full-time

Posted on:

Location Type: Hybrid

Location: Orlando • Florida • United States

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Job Level

Senior

Tech Stack

AWSAzureCloudPythonSparkSQLTableau

About the role

  • Translate business challenges into solvable AI/ML solutions, formulate different approaches, outline pros and cons for each approach, get alignment with business leaders on approaches, deliverables, and delivery timeline.
  • Work closely with business teams to develop complex AI/ML algorithms and predictive models to evaluate scenarios and potential future outcomes; leverage problem solving / analytical skills, quantitative expertise, programming and data analysis to identify potential risks related to existing scenarios as well as new products and develop methodologies for tracking and reporting them.
  • Collaborate with digital product, marketing, revenue management, operations, finance, and customer experience teams to translate insights into measurable business outcomes.
  • Be the subject matter expert and thought leader in building customer data capturing, hosting, business use cases deployment.
  • Present strategy, findings and recommendations to senior executives in a clear, compelling manner.
  • Perform analyses of structured and unstructured data to solve multiple and complex business problems. Apply analytical rigor & AI/ML methods to analyze large amounts of data.
  • Design, build, and deploy machine learning models supporting personalization, pricing optimization, demand forecasting, guest segmentation, and operational efficiency.
  • Interact with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
  • Evaluate and implement emerging methodologies in AI/ML, NLP, recommendation systems, forecasting, and optimization.
  • Enhance the team’s modeling toolkit by exploring new algorithms, tools, and frameworks.
  • Contribute to the evolution of the company’s machine learning platform, feature stores, and MLOps ecosystem.
  • Ensure models are interpretable, ethical, unbiased, and aligned with data governance and privacy standards.
  • Maintain rigorous documentation and reproducible workflows.
  • Conduct A/B testing, uplift modeling, attribution modeling, and statistical experimentation to validate impact.
  • Recruit, mentor, and build a high-performing team of AI/ML consultants with diverse skill sets.
  • Foster a collaborative and innovative team culture.
  • Mentor junior data scientists and analysts; help establish best practice standards across the data science community.
  • Collaborate with engineering to operationalize models via production pipelines, APIs, or real-time systems.
  • Partner with data engineering and architecture teams to improve data quality, accessibility, and scalability.
  • Adheres to Company standards and maintains compliance with all policies and procedures.

Requirements

  • MS or PhD degree in quantitative studies, such as Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Science, Engineering
  • Strong quantitative and analytics background, including advanced-level skillset in predictive modelling, statistical analysis, machine learning, generative AI models, geo-spatial analytics, time series forecasting, optimization.
  • 15+ years’ professional experience working in Financial Services, Insurance, Hospitality and Retail industries on applying data science and analytics in sales and marketing applications.
  • Familiarity with digital marketing ecosystem.
  • Extensive experience in email marketing, digital marketing, and call center analytics and direct marketing is preferred.
  • Experience with one or more Advanced Data Science software languages (Python, R)
  • Experience with structured or un-structured data analysis and tools (SQL, Spark, Tableau, Power BI tools)
  • Experience with cloud-based platforms (AWS, Azure, Google)
  • Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form.
  • Strong organizational, management and leadership skills. Experience managing and mentoring junior resources across different geo-locations.
  • Experience in industries such as hospitality, travel, retail, or other high volume consumer environments.
  • Experience with personalization engines, recommendation systems, revenue/yield optimization, or demand forecasting.
  • Familiarity with MLOps tools such as MLflow, SageMaker, Databricks Model Serving, or similar.
  • Exposure to marketing tech or customer engagement platforms (e.g., Adobe Experience Cloud, Salesforce, Braze, Amperity).
Benefits
  • Recognition Programs and Rewards
  • Excellent health care options, including medical, dental, and vision
  • A people-first culture
  • Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
  • Perks at work: Employee Pricing platform
  • Employee Assistance Program that supports your physical and mental well-being.
  • Paid Vacation Time and Paid Sick Days
  • 401(k) program with company match
  • Tuition reimbursement programs
  • Numerous learning and advancement opportunities
  • And more!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningpredictive modelingstatistical analysisgenerative AI modelsgeo-spatial analyticstime series forecastingoptimizationdata analysisA/B testingattribution modeling
Soft Skills
problem solvinganalytical skillscommunicationleadershipmentoringcollaborationorganizational skillsinnovationteam buildingpresentation skills