Product Owner (Forecasting & Modeling)

Hertz•Atlanta, GA

6h•$80,000 - $100,000

About The Position

Hertz is seeking a Product Owner – Commercial Revenue Forecast to lead the development and ongoing support of enterprise data sources and revenue forecasting models that directly inform commercial and corporate decision‑making. Hertz’s commercial strategy is centered on expanding adoption of premium products, growing customer trust, and operating as a world‑class retailer while maintaining strong unit revenue performance. This candidate will own the delivery and evolution of forecasting models, analytics, and decision‑support tools used across Commercial, Finance, Fleet, and other corporate teams. The successful candidate will partner closely with business and IT stakeholders to translate complex data into actionable insights, improve forecast accuracy and transparency, and enable confident, data‑driven decisions across Hertz Global.

Requirements

Minimum of bachelor’s degree required in Economics, Statistics, Data Analytics, Engineering, Computer Science, Information Systems, etc.
Demonstrated 2+ years’ experience designing, validating, and interpreting revenue or demand forecasting models to support commercial or financial decision-making
Ability to explain forecast assumptions, risks, and trade-offs clearly to senior business stakeholders and influence decision-making
Experience in enabling AWS technology to support business report user needs
Deep expertise in analytical and visualization tools (e.g., Python, R, SQL, Databricks, Tableau, Excel) with experience applying them to forecasting and commercial analytics
Experience and interest in data enablement and data management for broad user community
Demonstrates intellectual curiosity as well as sound analytical and communication skills; ability to effectively communicate at all levels
Comfortable applying sound judgment in the face of data limitations to support time-sensitive commercial decisions
Must be capable of independently managing multiple projects from inception to completion and make well informed priority trade-offs
Consistently prioritizes safety and security of self, others, and personal data.
Embraces diverse people, thinking, and styles.

Nice To Haves

Advanced degree Economics, Statistics, Data Analytics, Engineering, Computer Science, Information Systems, etc.
Experience in at least one travel industry vertical, (Cars, Hotels, Airlines) specifically related to Revenue Management, Finance, Sales, eCommerce or technology

Responsibilities

Identify and understand commercial priorities to deliver timely and reliable solutions that meet business needs
Develop and maintain scalable revenue forecasting models incorporating historical trends, demand signals, seasonality, pricing actions, and external market drivers
Enhance forecast accuracy through continuous back-testing, error analysis, and model recalibration as market conditions evolve
Integrate multiple internal and external data sources into unified forecasting frameworks to improve revenue predictability
Partner with Finance, Revenue Management, and Commercial teams to translate forecasts into actionable insights for pricing, fleet, and revenue optimization decisions
Establish forecast governance by clearly defining assumptions, methodologies, and version controls to ensure transparency and stakeholder confidence
Manage existing suite of corporate reports to ensure accuracy and timeliness
Act as a subject matter expert for multiple data sets and/or tools
Design, create, and implement Tableau dashboards or analytical reports to help various commercial teams more quickly and efficiently identify revenue opportunities
Effectively communicate complex technical subject matter to a non-technical audience as well as create/deliver training for commercial data and tools