Risk Manager, Innovation, WWOS Global Risk Management & Resilience

Job Title: Risk Manager, Innovation

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Location: Available at any CORP location in EMEA including London, Manchester, Paris, Madrid, Barcelona, Luxembourg, Milan, Munich, Leipzig, and others.

Role Overview

The Risk Manager, Innovation supports Global Security Risk Management & Resilience by leading initiatives that convert complex risk data into actionable insights across Amazon’s global operations. This role combines traditional risk management with advanced analytics, technology, and automation to improve risk identification, assessment, and response. Responsibilities include designing data integration systems, implementing predictive models, and driving technological innovation for timely, accurate risk insights.

Key Responsibilities

1. Lead strategic projects to enhance risk, resilience, and business continuity through data centralization and automation.
2. Optimize risk data pipelines for accurate global and regional insights.
3. Apply analytics, predictive modeling, AI, and machine learning to improve risk assessments and support real-time monitoring.
4. Collaborate with stakeholders and technical teams to resolve data and system issues.
5. Oversee risk management databases and platforms, ensuring continuous improvement and scalability.
6. Evaluate emerging technologies and best practices to advance risk management objectives.

A Day in the Life

The role involves working closely with global teams to streamline data processes, automate risk tracking, and enhance analytical capabilities. Daily tasks include managing risk data pipelines, identifying automation solutions, supporting technology integration, and collaborating with engineers and analysts.

About the Team

The team secures Amazon’s supply chain end-to-end by creating a comprehensive risk framework for business continuity. They leverage analytics and technology to assess risk levels, improve preparedness, and adapt to changing risk conditions.

Basic Qualifications

• Bachelor's degree or equivalent
• Experience with SQL and Excel
• Experience in risk analytics, data management, and technology-driven risk management
• Knowledge of Python or other data processing tools
• Ability to manage and optimize risk databases
• Experience leading complex, global risk programs and digital transformation projects

Preferred Qualifications

• Experience in program or project management
• Understanding of risk modeling
• Familiarity with AWS tools (Redshift, RDS, SageMaker)

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