Staff Product Manager, Finance Tech — ML Forecasting

Walmart; Bentonville (AR); Vor Ort; USD 110.000 - 220.000; Vollzeit

Benefits dieser Stelle

Health benefits

Stock purchase program

Paid time off

Zusammenfassung

Walmart in Bentonville, AR seeks a Staff Product Manager for Finance Technology to lead enterprise forecasting platforms. You will translate Finance, Merchandising and Operations needs into scalable product specs and manage multi-dimensional forecast outputs across 60+ departments and 2000+ categories.

You will partner with data science to define model inputs, evaluation metrics, and validation loops, drive transition from Excel to automated forecasting, and develop ROI-focused frameworks.

Qualifikationen

• Master’s degree in CS/Engineering with 1+ year PM experience
• Bachelor’s degree in CS/Engineering with 3+ years PM experience
• Experience translating business needs into product specifications and workflows
• Experience with data-driven forecasting and analytics
• Strong collaboration across Finance, Merchandising and Operations teams

Aufgaben

• Lead product development for enterprise financial forecasting platforms
• Translate complex business needs into scalable product specifications
• Manage forecasting outputs across dimensions and hierarchies
• Partner with data science to define ML model inputs, outputs and validation
• Design and maintain channel mapping logic for forecasts across bases and channels
• Collaborate with Finance, Merchandising and Operations to align outputs with planning cycles
• Develop business cases and ROI frameworks to measure forecast impact

Kenntnisse

Product strategy

Requirements gathering

Data science collaboration

Forecasting concepts

Stakeholder management

Data analysis

ROI analysis

Roadmap planning

Cross-channel forecasting

Ausbildung

Master's degree in CS/Engineering

Bachelor's degree in CS/Engineering

Tools

Tableau

Power BI

Jobbeschreibung

Walmart in Bentonville, AR seeks a Staff Product Manager for Finance Technology to lead enterprise forecasting platforms. You will translate Finance, Merchandising and Operations needs into scalable product specs and manage multi-dimensional forecast outputs across 60+ departments and 2000+ categories.

You will partner with data science to define model inputs, evaluation metrics, and validation loops, drive transition from Excel to automated forecasting, and develop ROI-focused frameworks.