Job Description

What you'll do...

Position: Manager II, Merchandising Replenishment

Job Location: 702 SW 8th St, Bentonville, AR 72716

Duties: Inventory and In-Stock Management: Manages assigned portion of the in-stock mix to support the goal for complex departments/ categories: track new items to ensure time and quantity and analyzing and resolving in-stock issues. Analyzes and recommends complex inventory strategies within categories by building plans to align with merchandising needs. Operates and manipulates office productivity software, statistical packages, inventory management systems, and ad hoc query tools. Forecast Management: Aligns cross-functional partners to strategies across complex categories. Recommends inventory strategies for assigned category teams. Monitors and calibrates store forecast as part of in-stock issue resolution. Replenishment Issue Resolution: Identifies problems with supplier ordering and recommends solutions for review for a moderately complex/complex category. Responds to escalated order related issues, resolves non-routine situations, and guides team members. Drives research, recommends, and leads implementation of process improvements. Ensures support to the stores for area of focus. Inventory Financials: Analyzes data and uses bottom-up inventory planning to develop recommendations for a complex category. Analyzes seasonal inventory flow plans to ensure they meet customer demand and return-on-investment goals. Participates in and manages cross-functional projects to support strategic financial plans. Evaluates future inventory plans based on supplier capability. Delivers key performance metrics and communicates objectives and results of financial and operational performance to internal and external management. Order Smoothing and Management: Examines and authorizes co-managed supplier flow plans and inventory strategies. Develops, coordinates, and completes demand plans with suppliers, business partners Decides which manual orders should be written, complete manual orders and initial orders. Modular Inventory Support: Evaluates and completes new assortment/modular execution for a complex category. Drives decision on the new item mod fill order quantities, providing inputs as needed. Places orders to meet the modular fill requirements. Attends line reviews and walk throughs as needed to influence replenishment decisions. Feature Management Support: Decides and makes recommendations on feature set quantity and drives execution as applicable. Decides and drives implementation of the feature flow plans and settings. Monitors on buydown cadence for deleted items. Makes recommendations on exit strategy for special or exception programs. Data and Digital Acumen: Leverages data analysis tools to explore moderately complex data, develop and test hypotheses, uses data to influence strategic work, builds and presents insights. Identifies, implements, and drives technology change within scope of work. Uses visualization tools to represent data and construct coherent stories to influence decisions. Omni Channel Customer Focus: Makes customer-centric recommendations and decisions across all customer touchpoints for a moderately complex category. Understands customer behavior across channels, or within relevant channels. Constantly incorporates applicable and actionable customer feedback. Guides suppliers and vendors in developing customer-focused processes/products.

Minimum education and experience required: Bachelors degree or the equivalent in Supply Chain Management, Engineering, Business, or related field and 2 years of experience in business or related; OR 4 years of experience in business or related; OR Masters degree or the equivalent in Supply Chain Management, Engineering, Business, or related field.

Skills required: Must have experience with: Experience building scalable supply chain models and processes and optimizing supply chain strategies while balancing operating costs and asset efficiency using SQL, Microsoft Excel, and VBA Macros. Experience setting up Key Performance Indicator (KPI) measurements and improving KPIs. Experience building demand forecast parameters using statistical analysis. Experience executing big data analyses using mathematical modeling techniques: Linear Programming and Regression Analysis. Experience partnering with suppliers to develop end-to-end supply chain strategies to improve in-stock rate and reduce lead time. Experience building business intelligence reports to drive business growth and ensure optimal asset utilization. Employer will accept any amount of experience with the required skills.