Senior FP&A Manager — East Operations Finance

Tempur Sealy; City of Albany (NY); On-site; USD 120,000 - 145,000; Full time

Benefits offered by this job

Generous Paid Time Off

Competitive Medical, Dental & wellness

Disability and Life Company Paid

Retirement Plan Options

Generous Employee Purchase Discounts

Job summary

Tempur Sealy is a leading global designer, manufacturer, distributor and retailer of bedding products, including Tempur-Pedic, Sealy and Stearns & Foster. The role supports FP&A for US operations, delivering budgets, forecasts and financial insights that guide manufacturing strategy and cost optimization.

You will analyze variances, develop Excel-based models, and present findings to leadership to inform decisions and drive efficiency across multiple plants.

Qualifications

• Bachelor's degree in accounting or finance (strongly preferred) or equivalent experience.
• Minimum 5 to 10 years of FP&A experience (manufacturing context a plus).
• Strong working knowledge of Microsoft Excel.

Responsibilities

• Prepare accurate and timely reporting, budgets, and forecasts for US operations (opex and capex).
• Assess risks and opportunities in budgets, forecasts, and tracker updates.
• Drive financial oversight of manufacturing strategy initiatives.
• Provide financial analysis support and monthly reviews to Regional VP.

Skills

KPI variance analysis

Financial analysis

Excel

Cross-functional teamwork

People management

Forecasting

Financial modeling

Influencing decisions

Education

Bachelor's degree in accounting or finance

Tools

Power BI

Job description

Tempur Sealy is a leading global designer, manufacturer, distributor and retailer of bedding products, including Tempur-Pedic, Sealy and Stearns & Foster. The role supports FP&A for US operations, delivering budgets, forecasts and financial insights that guide manufacturing strategy and cost optimization.

You will analyze variances, develop Excel-based models, and present findings to leadership to inform decisions and drive efficiency across multiple plants.