Staff Product Manager – Finance Technology
About The Position
Lead product development for enterprise financial forecasting platforms that generate machine-learning-based forecasts for business metrics including net sales, merchandise sales, operational units, and fulfilled orders across base, merchandising, and marketplace channels. Translate requirements from Finance, Merchandising, and Operations into scalable product specifications that account for the distinct ways each function uses forecasts. Manage forecasting outputs across metrics, channel hierarchies, and department and category structures, ensuring consistency and reconciliation across more than 60 departments and 2,000 categories used in business planning. Partner with data science teams to define machine-learning model requirements, including input signals, outputs, validation frameworks, and feedback loops that improve forecast accuracy and adoption. Design and maintain channel-mapping logic to support accurate aggregation, disaggregation, and alignment across Finance and Merchandising use cases. Collaborate with Finance leaders, Merchandising department heads, category planners, Data Science, and Engineering to align forecasts with planning cycles, operational workflows, and business decisions. Develop business cases and quantitative frameworks to evaluate forecast accuracy, financial impact, and return on investment. Define and monitor KPIs and analyze forecast-to-actual variance across segment, SBU, and department levels. Lead the transition from manual, Excel-based forecasting and reporting to automated, governed systems that improve scalability, auditability, and consistency across enterprise financial and operational planning. The position requires a master's degree or equivalent in computer science, engineering, or a related field and one year of product management or related experience, or a bachelor's degree or equivalent in one of those fields and three years of product management or related experience. The employer will accept any amount of experience with the listed required skills. The role is located at 811 Excellence Dr, Bentonville, AR 72716.
Requirements
- Master’s degree or equivalent in computer science, engineering, or a related field plus one year of product management or related experience; alternatively, a bachelor’s degree or equivalent in one of those fields plus three years of product management or related experience.
- Experience developing data-driven financial and operational decision-support systems, defining product strategy, and translating business needs into scalable product solutions.
- Experience gathering and translating complex Finance, Merchandising, and Operations requirements into product specifications, workflows, and analytical outputs.
- Experience collaborating with data science and machine-learning teams on model inputs, outputs, feature engineering, 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 and interpreting structured data to identify trends, validate outputs, and support product and business decisions.
- Experience developing business cases, ROI analyses, and KPI-based performance measures.
- Experience prioritizing product features and planning roadmaps based on business value, feasibility, and impact.
- Experience designing and managing outputs across metrics, channel hierarchies, and business structures to ensure consistency and reconciliation.
- Experience defining, monitoring, and analyzing forecast-to-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.
Responsibilities
- Lead product development for enterprise financial forecasting platforms.
- Translate Finance, Merchandising, and Operations requirements into scalable product specifications, workflows, and analytical outputs.
- Manage forecast outputs across metrics, channel hierarchies, and department and category structures, ensuring consistency and reconciliation.
- Partner with data science teams to define machine-learning model inputs, outputs, validation frameworks, and feedback loops.
- Design and maintain channel-mapping logic to align forecast aggregation and disaggregation across Finance and Merchandising use cases.
- Collaborate with Finance, Merchandising, category planning, Data Science, and Engineering stakeholders to align forecasts with planning cycles and workflows.
- Develop business cases and quantitative frameworks to evaluate forecast accuracy, financial impact, and return on investment.
- Define and monitor KPIs and analyze forecast-to-actual variance across segment, SBU, and department levels.
- Drive the transition from manual Excel-based forecasting and reporting to automated, governed systems.
Benefits
- Performance-based incentive awards, including annual or quarterly performance incentives.
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave.
- Parental leave.
- Family care leave.
- Bereavement leave.
- Jury duty and voting leave.
- Short-term and long-term disability.
- Education assistance, including 100% company-paid college degrees.
- Company discounts.
- Military service pay.
- Adoption expense reimbursement.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
