Senior Demand Planner

Fortune Brands Innovations (NYSE: FBIN) is an industry-leading home, security and digital products company with a portfolio of trusted brands, including Moen, House of Rohl, Therma-Tru, Larson, Master Lock, Yale residential, and Sentry Safe.

We are building a company that is determined to win, and we are clear about how: strong brands, great people, and disciplined execution.

You'll join a team that puts customers first, keeps its commitments, and cuts through complexity to deliver meaningful results.

If you're looking for an opportunity to make an impact and help shape what's next for our iconic brands, we'd love to meet you.

The Senior Demand Planner is responsible for managing the forecast for a defined set of products and customers and aggregating up through product lines to the Business and Channel level within the Security business unit, spanning the Master Lock, Sentry Safe, Yale, and August brands. This position develops volume and gross sales forecasts using analytical and collaborative techniques within Oracle Demantra, and leverages Oracle Analytics, Microsoft Power BI, Tableau, and AI-assisted analysis tools such as Claude for reporting, root-cause analysis, and performance tracking.

The role leads discussions through the Sales and Operations Planning (S&OP) process and facilitates forecasting meetings with internal and external stakeholders, including key big-box retail partners such as The Home Depot, Walmart, Target, and Best Buy. May serve as a project member or lead on innovative projects in demand planning or other cross-functional projects. Key performance measures include forecast accuracy, bias, and service.

Success in this role requires the ability to work independently with strong analytical and technical aptitude, combined with effective collaboration and partnership across Supply Chain, Business Units, Sales, Finance, and Customers.

This role is eligible for a hybrid schedule, reporting into the Deerfield, IL HQ Tues–Thurs, with flexibility to work remotely on Monday & Friday.

• Responsible for managing high volume, big-box retail key account forecasts (e.g., The Home Depot, Walmart, Target, Best Buy) in Oracle Demantra and presenting those forecasts during the Sales & Operations Planning (S&OP) process
• Manage promotion and event forecasts for assigned accounts, including seasonal and holiday events, line reviews, and retailer resets, as well as timing expectations with customers and internal stakeholders
• Drive forecasting engagement and collaboration with the Business Units through S&OP processes as well as the Annual Operating Plan (AOP) for assigned accounts
• Achieve forecast accuracy and bias targets for assigned categories; conduct root-cause analysis using Oracle Demantra, Oracle Analytics, and Microsoft Power BI to improve forecast performance
• Develop and maintain new product launch forecasts, including mechanical security and connected smart lock products, and collaborate with stakeholders on their performance and lifecycle decisions
• Build and maintain reporting and analysis using Oracle Demantra data in Oracle Analytics and Microsoft Power BI, leveraging AI tools such as Claude to accelerate analysis and reporting; translate data to actionable insight for the business
• Act as a key team member for innovative demand planning projects, process improvements, or other cross-functional projects
• Identify and recommend improvements to forecast accuracy using statistical models, industry knowledge, and best practices

• Bachelor's Degree preferred; experience to be considered in lieu of degree
• Minimum of 5+ years of demand planning and/or sales analytics experience, preferably supporting big-box retail customers
• Working knowledge of Oracle Demantra or a comparable advanced planning system required; hands‑on forecasting experience within Oracle Demantra strongly preferred
• Experience with Oracle Analytics, Microsoft Power BI, or comparable business intelligence tools for reporting and analysis required
• Advanced knowledge of Microsoft Excel required
• Experience with additional data visualization software (e.g., Tableau) preferred but not required
• Experience using AI tools (e.g., Claude) for data analysis, reporting automation, or insight generation preferred
• Statistical / time-series forecast modeling experience a plus
• Requires a basic knowledge of business math, including gross margin percent, inventory turns, ROI, etc.
• Must possess strong analytical skills and excellent database and…