Ecommerce Planning Lead: Forecasts, Promotions & Inventory

FashionUnited; Rockford (IL); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Wolverine Worldwide is seeking an experienced ECommerce Planner to drive forecasting, inventory planning, and promotional strategy across our omnichannel brands. You will partner with merchandising, marketing, and finance to optimize stock, pricing, and profitability in a fast-paced environment.

The role offers a hybrid schedule (three days in office, two remote) and requires a strong analytics mindset, excellent communication, and the ability to translate data into actionable business insights.

Qualifications

• Bachelor’s degree or equivalent work experience.
• 5+ years of planning experience in ecommerce, DTC, or omnichannel retail.
• Strong analytical, financial, and problem-solving skills in a fast-paced environment.
• Advanced Excel and proficiency with reporting, planning, and BI tools.
• Experience developing promotional, pricing, and inventory strategies.

Responsibilities

• Develop department, class and item forecasts including sales, inventory, receipts, and Open to Buy forecasts.
• Partner with Buyers to build assortments aligned with financial goals.
• Lead promotional planning and forecasting efforts to drive profitable sales growth.
• Analyze performance and provide actionable recommendations to leadership.

Skills

Advanced Excel

Forecasting

Inventory management

Promotional planning

Cross-functional collaboration

Data analysis

Presentation skills

AI tools usage

BI tools

Education

Bachelor’s degree or equivalent experience

Tools

Business Intelligence tools

Job description

Wolverine Worldwide is seeking an experienced ECommerce Planner to drive forecasting, inventory planning, and promotional strategy across our omnichannel brands. You will partner with merchandising, marketing, and finance to optimize stock, pricing, and profitability in a fast-paced environment.

The role offers a hybrid schedule (three days in office, two remote) and requires a strong analytics mindset, excellent communication, and the ability to translate data into actionable business insights.