On Demand Jobs in Michigan (NOW HIRING)

At Saucony, we exist at the intersection of culture and performance. While our history is rooted in the run, our future is defined by movement in all its forms. We don't just make shoes; we build the breakthroughs that move the industry forward and the styles that define the cultural conversation.
We're a team that puts excellence first, and the experts agree. Recently, Fast Company named Saucony one of the Most Innovative Companies in the world, specifically honoring our IncrediRUN Foam as a major leap forward in footwear tech. Our reach extends from the track to the street, whether it's the Speed 5 being named "Best Overall" by WIRED or our iconic Shadow 5000 winning the Shop TODAY Sneaker Awards, we are consistently recognized as the gold standard for both performance and style.
The Senior Demand Planner will be responsible for developing and maintaining demand forecasts as part of the Integrated Business Planning cycle. This role will own material-level forecasting for assigned product categories across multiple distribution channels, partnering with cross-functional teams to align demand assumptions, identify risks and opportunities, and support forecast decisions. The Senior Demand Planner is expected to create a demand plan that supports Brand financial targets while driving accuracy, transparency, and continuous improvement in the planning process.

Primary Duties:

CrossFunctional Collaboration:

• Partner with Sales, Marketing, Finance, Supply Chain, and Operations to align on demand assumptions and forecast outcomes

• Support planning and S&OP / IBP processes by communicating forecast changes, risks, and demand drivers clearly and consistently

• Share demand insights and recommendations in a clear, structured, and data-driven manner

Forecasting & Demand Analytics:

• Develop and maintain demand forecasts across multiple time horizons using statistical forecasting methods, market inputs, historical sales data, and order book analysis

• Test and refine forecasting approaches, including baseline demand modeling, seasonality analysis, and trend adjustment

• Monitor forecast accuracy and bias, investigate root causes of forecast error, and implement corrective actions

• Apply appropriate forecasting methodologies by product, customer, channel, or segment based on demand behavior

Model Building & Deployment:

• Build, maintain, and enhance forecasting models within demand planning systems and analytical tools

• Translate statistical model outputs into operational forecasts aligned with planning and supply processes

• Document assumptions, methodologies, and limitations to support forecast transparency and repeatability

• Partner with technology and planning teams to improve forecasting tools, system parameters, and automation

Market & Business Integration:

• Incorporate qualitative inputs such as promotions, pricing actions, market dynamics, and product lifecycle events into forecasts

• Assess the impact of demand drivers and external signals on forecast performance and planning risk

• Provide scenario analysis and sensitivity views to help support decision-making under uncertainty

Continuous Improvement:

• Contribute to improvements in forecast accuracy, model effectiveness, and planning efficiency through ongoing analysis and learning

• Identify opportunities to standardize best practices, improve forecast governance, and reduce manual effort

• Provide subject matter expertise and support to planners and cross-functional partners on forecasting processes, tools, and assumptions

• Perform duties consistent with the Company's AAP/EEO goals and policies.

• Perform other duties as required/assigned by manager.

Knowledge, Skills and Abilities Required:

• Bachelor's degree in Supply Chain, Operations Research, Statistics, Economics, Data Science, Engineering, or a related quantitative field

• 4-6 years of experience in demand planning, forecasting, supply chain planning, or related analytical roles

• Solid understanding of statistical forecasting methods, including time-series analysis and regression-based approaches

• Strong Excel skills for large datasets, modeling, and validation

• Experience using demand planning or forecasting platforms (e.g., SAP IBP, Blue Yonder/JDA, Oracle Demantra, Kinaxis, or similar)

• Ability to analyze forecast performance, diagnose issues, and support improvements over time

Working Conditions:

Normal office environment. Some travel may be required.

Wolverine Worldwide has a flexible, hybrid work schedule, with three days in office and two days remote.

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Wolverine World Wide, Inc. (NYSE: WWW) is a global footwear and apparel company driven by a vision toMake. Every Day. Better.Founded in 1883, the Company builds and grows iconic brands includingMerrell,Saucony,Wolverine,Sweaty Betty,Chaco,Hush Puppies,Stride Rite,HYTEST, andBates, along with footwear licenses forCatandHarley-Davidson. Headquartered in Rockford, Michigan, the Company's products are sold in approximately 170 countries and territories worldwide. For more information, visitwww.wolverineworldwide.com.

In 2025, the Company was recognized by Footwear News as Company of the Year, by Forbes as one of America's Dream Employers, America's Best Employers for Women, and America's Best Employers for Company Culture, and by Inspiring Workplaces as one of the Most Inspiring Workplaces Globally.

Wolverine Worldwide is a Certified Great Place To Work.

The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties and skills which may be required.

Wolverine Worldwide, Inc. is committed to creating a company that is as diverse as our consumers. We value the differences in one another and believe our differences make us stronger. Our diverse and inclusive corporate culture starts with the recruitment process. We are committed to being an equal opportunity employer. We aim to create equal opportunities for our associates, customers, and suppliers regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected characteristic.