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Director, Margin and Profitability

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Sysco Northeast Rdc
Full Time position
Listed on 2026-10-02
Job specializations:
  • Management
    Financial Manager
  • Business
    Financial Manager
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
JOB SUMMARY

The Director, Margin & Profitability will serve as a key leader within the USFS Finance Forecasting Center of Excellence (COE). This role is responsible for advancing Sysco's margin forecasting capabilities, improving forecast accuracy, standardizing margin methodologies, and delivering actionable financial insights that enable profitable growth. The role combines financial forecasting, profitability analytics, business partnership, and strategic planning to improve decision-making across Finance, Sales, Revenue Management, Merchandising, and Executive Leadership.

The successful candidate will help build scalable margin forecasting models, establish common performance drivers, improve forecast credibility, and help transform forecasting from a reporting exercise into a proactive decision-support capability.

RESPONSIBILITIES
  • Lead Enterprise Margin Forecasting
    Own enterprise GP$, GP/case, and profitability forecasting methodologies.
    Assist in the creation and maintenance of driver-based margin forecasting across customer segments and channels.
    Establish standardized forecasting assumptions and governance processes.
    Improve forecast accuracy, bias measurement, and forecast stability.
    Create a repeatable forecasting framework that supports weekly, monthly, quarterly, and annual planning processes.
  • Build Driver-Based Forecasting Models
    Design and evolve models connecting volume, price, mix, cost, inflation, and customer economics to gross profit performance.
    Partner with Economic Strategy to integrate macroeconomic indicators, commodity trends, inflation, consumer spending, and industry signals into profitability forecasts.
    Develop scenario-planning capabilities that support executive decision-making under changing market conditions.
    Establish forecasting methodologies that are transparent, explainable, and scalable.
  • Own Margin Analytics and Business Insights
    Develop standardized profitability bridges and variance explanations.
    Provide actionable insights on drivers of margin expansion and erosion.
    Identify opportunities and risks early enough for business leaders to act.
    Translate forecast outcomes into business recommendations rather than simply reporting results.
    Support business reviews and strategic planning processes with insight-driven narratives.
  • Drive One Forecasting Engine
    Serve as a key architect of the Forecasting COE operating model.
    Eliminate competing or shadow forecasts across the organization.
    Standardize forecasting tools, processes, and common data views.
    Establish governance ensuring teams own business drivers while the COE owns forecasting models.
    Promote consistency in forecasting methodologies across all commercial and operating functions.
  • Strategic Business Partnership
    Partner closely with Finance & Sales Leadership (Local & National), Revenue Management, Merchandising, Supply Chain & Operations, Data & Business Intelligence, FP&A, Executive Leadership, and Market Leadership.
    Provide decision-support analytics that improve pricing, mix, promotional effectiveness, contract performance, and profitability outcomes.
  • Critical Focus Areas During First 12 Months
    Forecast Credibility:
    Establish baseline margin forecasting accuracy metrics; implement forecast bias and forecast stability tracking; improve forecast precision through enhanced driver transparency.
    Driver Transparency:
    Develop a common margin-driver framework across all customer types; standardize profitability variance categories and reporting.
    Forecasting COE Transformation:
    Establish the COE as the recognized forecasting authority; retire parallel forecasting efforts across teams.
    Margin Storytelling:
    Improve the quality of margin reviews, forecast narratives, and executive communication; elevate conversations from variance reporting to action-oriented recommendations.
    Automation & Simplification:
    Partner with Data & BI to automate recurring forecasting processes; reduce manual effort while increasing forecast frequency, consistency, and transparency.
  • Success Measures
    Forecast Excellence: GP$ forecast accuracy, GP/case forecast accuracy, forecast bias improvement, forecast stability across cycles.
    Business Impact:
    Margin opportunity identification, margin erosion prevention, improvement in decision cycle times, adoption of forecasting recommendations.
    Operational Excellence:
    Reduction in manual forecasting effort, standardization of forecasting methodologies, elimination of shadow forecasts, increased automation of recurring processes.
    Leadership:
    Strong business…
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