Staff Product Manager – Finance Technology

Walmart•Bentonville, AR

About The Position

The Staff Product Manager – Finance Technology leads product development for enterprise financial forecasting platforms that generate machine-learning-based forecasts across business metrics, including net sales, merchandise sales, operational units, and fulfilled orders. Forecasts cover base, merchandise, and marketplace channels and support the differing needs of Finance, Merchandising, and Operations. The role translates stakeholder requirements into scalable product specifications and manages forecast outputs across metric, channel, department, and category hierarchies, ensuring consistency and reconciliation across 60+ departments and 2,000+ categories. The product manager partners with Data Science to define machine-learning model requirements, inputs, outputs, validation frameworks, and feedback loops. They also design and maintain channel-mapping logic and align forecasts with planning cycles and business workflows. The position develops quantitative frameworks and business cases to assess forecast accuracy, financial impact, and return on investment; defines KPIs and monitors forecast-to-actual variance; and drives the transition from manual Excel-based processes to automated, governed forecasting systems. The role is based at 811 Excellence Dr, Bentonville, AR 72716.

Requirements

Master’s degree or equivalent in computer science, engineering, or a related field and 1 year of experience in product management or related experience; OR bachelor’s degree or equivalent in computer science, engineering, or a related field and 3 years of experience in product management or related experience.
Experience developing data-driven financial and operational decision-support products, defining product strategy, and translating business needs into scalable solutions.
Experience gathering and translating complex Finance, Merchandising, and Operations requirements into detailed specifications, workflows, and analytical outputs.
Experience collaborating with data science and machine-learning teams on model inputs, outputs, feature-engineering requirements, evaluation metrics, and validation frameworks.
Experience applying forecasting concepts and analytical decision-support systems to financial planning, performance tracking, and business decisions.
Experience managing cross-functional stakeholders across finance, operations, merchandising, engineering, and analytics.
Experience analyzing structured data to identify trends, validate outputs, and support product and business decisions.
Experience developing business cases, conducting ROI analysis, and measuring performance using KPIs.
Experience prioritizing product features and planning roadmaps based on business value, feasibility, and impact.
Experience designing and managing outputs across dimensions such as metrics, channel hierarchies, and business structures, ensuring consistency and reconciliation.
Experience defining, monitoring, and analyzing forecast-versus-actual performance metrics across segment, SBU, and department levels.
Experience supporting experimentation frameworks, including A/B testing and model performance evaluation.
Experience with data visualization and reporting tools such as Tableau or Power BI.
Experience documenting product requirements, analytical logic, workflows, and data definitions.
Employer will accept any amount of experience with the required skills.

Responsibilities

Lead product development for enterprise financial forecasting platforms that generate machine-learning-based forecasts across multiple business metrics and channels.
Translate requirements from Finance, Merchandising, and Operations into scalable product specifications, user workflows, and analytical outputs.
Manage forecast outputs across metric, channel, department, and category hierarchies, ensuring consistency and reconciliation.
Partner with Data Science teams to define model inputs, outputs, validation frameworks, and feedback loops.
Design and maintain channel-mapping logic to support accurate aggregation, disaggregation, and alignment of forecasts across business use cases.
Collaborate with Finance leaders, Merchandising department heads, category planners, Data Science, and Engineering to align forecasts with planning cycles and operational workflows.
Develop business cases and quantitative frameworks to evaluate forecast accuracy, financial impact, and return on investment.
Define KPIs and monitor forecast-to-actual variance across segment, SBU, and department levels.
Transition manual, Excel-based forecasting and reporting processes to automated, governed systems.
Prioritize product features and plan the roadmap based on business value, feasibility, and impact.
Support experimentation frameworks, including A/B testing and model performance evaluation.
Document product requirements, analytical logic, workflows, and data definitions.