S&OP Sr Program Manager, BR Supply Chain

Amazon is looking for a motivated individual for the profile of Senior Program Manager for S&OP team to keep delighting our customers by fulfilling products from Amazon and our Selling Partners at the fastest possible speed, on-time and at the lowest possible cost.

In this critical role, you will be responsible for driving forecast accuracy and operational efficiency across our global supply chain network. As a senior S&OP analyst, you will leverage advanced analytics, optimize global planning tools, and implement process improvements to reduce forecast deviations and enhance operational productivity. Working closely with Operations, Transportation, and cross-functional teams, you will be instrumental in developing sophisticated forecasting methodologies and standardizing planning processes across regions. This position requires a blend of technical expertise in planning systems, strong analytical capabilities, and the ability to drive change in a complex, fast-paced environment.
This role is a blend of short term execution and long term strategic planning, that requires quick decision-making, with incomplete data, while also thinking big and influencing the long term direction of the Amazon Brazil Fulfillment Operations.

Key job responsibilities
Forecast Optimization & Strategic Planning:

• Design and implement sophisticated forecasting methodologies;

• Develop statistical models to improve prediction accuracy;

• Create scenario planning frameworks to address demand variability;

• Partner with Operations teams to align forecasts with operational capabilities;

• Lead strategic initiatives to reduce forecast deviations and biases.

Global Planning Tools & Systems Enhancement:

• Evaluate and optimize input parameters in global planning systems;

• Identify and correct systematic biases in planning tools;

• Standardize data input methodologies across regions;

• Develop validation protocols for planning system inputs;

• Create feedback loops to continuously refine planning algorithms;

• Coordinate with IT teams to implement system improvements.

Process Excellence & Automation:

• Architect scalable forecasting solutions leveraging advanced planning tools;

• Implement automation to streamline routine planning processes;

• Design and maintain planning systems integration;

• Establish best practices for forecast exception management;

• Drive standardization of planning processes across regions.

Advanced Analytics & Performance Management:

• Conduct complex statistical analysis to identify forecast deviation patterns;

• Develop root cause analysis frameworks for forecast accuracy issues;

• Create predictive models to anticipate operational challenges;

• Quantify financial impacts of forecast accuracy improvements;

• Analyze cross-regional variances in forecast accuracy.

Metrics Development & Reporting:

• Establish KPIs to measure forecast accuracy and bias;

• Create dashboards for real-time performance monitoring;

• Develop audit protocols for forecast quality assurance;

• Lead continuous improvement initiatives based on performance data;

• Track and report on planning tool optimization impacts.

Basic Qualifications:
- Bachelor's degree;
- Experience with forecasting and statistical analysis;
- Experience using Excel at an advanced level including practical knowledge of VBA/macros and advanced Excel functions;
- Experience delivering results for large, cross-functional initiatives/projects
- Experience in business intelligence and analytics;
- Experience optimizing for short term execution while planning for long term technical capabilities;
- Experience in S&OP, demand planning, or similar analytical roles;
- Advanced English.

Preferred Qualifications:
- PMP certificate, or MBA in supply chain management, operations, engineering, analytics or related field;
- Knowledge of technical skills such as coding / statistics (python, R, Django, Spark etc.), data visualization, research;
- Knowledge of ERP systems (e.g. SAP, ORACLE, Coupa) in large organizations;
- Experience with statistical methods (e.g., A/B Testing, Regression);
- Knowledge of supply chain management concepts - forecasting, planning, sourcing, optimization and logistics or equivalent.

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