Skills Required: Must have experience with: Product development for data-driven financial and operational decision-support systems, including defining product strategy and translating business needs into scalable product solutions; Requirements gathering and translation of complex business needs from Finance, Merchandising, and Operations stakeholders into detailed product specifications, user workflows, and analytical outputs; Collaborating with data science and machine learning teams to define model inputs, outputs, feature engineering requirements, evaluation metrics, and validation frameworks; Applying forecasting concepts and analytical decision-support systems to support financial planning, performance tracking, and business decision-making; Cross-functional stakeholder management across finance, operations, merchandising, engineering, and analytics teams; Data analysis and interpretation using structured datasets to identify trends, validate outputs, and support product and business decisions; Business case development, return on investment (ROI) analysis, and performance measurement using defined KPIs; Prioritization of product features and roadmap planning based on business value, feasibility, and impact; Designing and managing outputs across multiple dimensions (e.g., metric, channel hierarchies, and business structures) to ensure consistency and reconciliation across use cases; Defining, monitoring, and analyzing performance metrics, including variance between forecasted and actual outcomes across segment, SBU, and department levels; Supporting experimentation frameworks, including A/B testing and model performance evaluation; data visualization and reporting tools (e.g., Tableau, Power BI) to communicate analytical insights; documenting product requirements, analytical logic, workflows, and data definitions. Duties: Lead product development for enterprise financial forecasting platforms that generate machine-learning-based forecasts for multiple business metrics, including net sales, merchandise sales, operational units, and fulfilled orders across base channels, merch channels, and marketplace channels.