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Hertz Car Sales Logo

VP Applied Data & Analytics

Hertz Car Sales

From $310,000
Aug 29, 2025
Atlanta, GA, US
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Hertz is seeking a Vice President, Applied Data & Analytics to lead the design, development, and deployment of analytics and machine learning solutions that drive measurable business outcomes.

Requirements

  • Strong hands-on experience developing and deploying machine learning models and algorithms at scale.
  • Deep understanding of ELT processes, data modeling, and data product management.
  • Proficiency in modern analytics technologies (e.g., Python, SQL, DBT, Power BI, Tableau, Snowflake, Databricks).
  • Experience with data transformation, data architecture, and data governance.
  • Knowledge of advanced analytics and machine learning concepts, including predictive and prescriptive modeling.
  • Familiarity with cloud-based data platforms and data engineering tools.
  • Experience with data visualization and reporting tools, such as Tableau or Power BI.

Responsibilities

  • Lead enterprise ELT (Extract, Load, Transform) strategy to ensure clean, structured, and business-ready data for downstream analytics.
  • Collaborate with Vice President, Data Architecture and Infrastructure to ensure high availability, quality, and relevance of data assets for consumption.
  • Own semantic layer design and data product definition in support of enterprise-grade analytics, advanced modeling, and data democratization across the business.
  • Oversee development and deployment of predictive and prescriptive models (e.g., forecasting, recommendation systems, customer segmentation, optimization).
  • Identify and prioritize high-impact machine learning use cases in collaboration with functional leaders.
  • Establish best practices for experimentation, model governance, MLOps, and continuous improvement.
  • Lead the creation of dashboards, reports, and interactive tools that drive strategic and operational decisions.

Other

  • 15+ years’ experience in Analytics, Data Science, or Business Intelligence; 5+ years in a senior leadership role
  • Bachelor’s Degree in Data Science, Statistics, Computer Science, Engineering, or related field, required; Master’s Degree or Advanced Technical Degree, preferred
  • Strong executive communication skills and ability to influence cross-functional stakeholders.
  • Ability to collaborate with internal and external stakeholders across multiple functions and locations
  • Ability to build and lead a diverse, high-performing, results-oriented, and highly-engaged team.