Senior Risk Manager, Sales Abuse Prevention

Amazon; Tempe (AZ); On-site; USD 121,000 - 164,000; Full time

Job summary

Amazon in Tempe, AZ is seeking a Senior Risk Manager for Catalog Abuse to lead investigations, develop risk mitigation strategies, and manage regulatory documentation. The role requires strong data analysis skills (SQL) and experience with AI/ML to scale detection and enforcement.

You will collaborate with engineering, legal and business teams to protect catalog integrity. The position focuses on identifying abuse patterns, driving root-cause analysis, and coordinating cross-functional responses

Qualifications

• Bachelor's degree or equivalent required.
• 6+ years of compliance, audit or risk management experience.
• Advanced knowledge of Microsoft Office products.
• Intermediate SQL knowledge.
• PMP or equivalent certification preferred.
• Experience with AI/ML technologies and data analytics.

Responsibilities

• Lead investigations to identify and analyze new catalog abuse patterns using large-scale data analysis.
• Develop risk mitigation strategies with engineering, science and product teams.
• Manage high-priority executive escalations with root-cause analysis.
• Oversee regulatory compliance documentation and CMA reporting.
• Leverage AI to scale detection and enforcement.
• Create metrics and dashboards to track program effectiveness.
• Prepare executive summaries and findings for leadership.
• Identify policy gaps and propose solutions for abuse patterns.
• Build partnerships across teams to strengthen controls.
• Monitor emerging e-commerce trends affecting catalog integrity.

Skills

Microsoft Office

AI/ML technologies

Data analysis

SQL

Education

Bachelor's degree

PMP or equivalent

Master's degree

Tools

SQL

Job description

• Knowledge of Microsoft Office products and applications at an advanced level
• Bachelor's degree or equivalent
• 6+ years of compliance, audit or risk management experience
• Knowledge of SQL at the intermediate level
• Project Management Professional (PMP) or equivalent certification
• Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent
• Master's degree or equivalent
• Experience with AI/ML technologies
• Experience in data analysis and leveraging analytics to make decisions

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, AZ, Tempe - 121,200.00 - 163,900.00 USD annually

The Catalog Integrity team is tasked with identifying and preventing abuse that impacts product authenticity, accuracy, and trust for our customers and brand owners worldwide. Our growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, and are capable of breaking down and solving complex problems.

The Catalog Abuse Prevention team designs and implements policies, tools, and technology innovations to protect the integrity of Amazon's product catalog. We are looking for an experienced, motivated Senior Risk Manager with a background in risk management, digital fraud, compliance, or cyber investigations who also has advanced data analysis skills (SQL, Data Science) to manage critical and high-impact projects.

The Senior Risk Manager role for Catalog Abuse is responsible for discovery and risk mining of new and emerging abuse patterns within Amazon's product catalog ecosystem. As the Senior Risk Manager over this space, you'll partner with our team of engineers, applied scientists, data scientists, and business intelligence engineers to mitigate risks and vulnerabilities across our catalog experiences. You will lead the identification and analysis of emerging abuse patterns, manage executive escalations, and ensure compliance with regulatory requirements. You will be responsible for data mining for emerging abuse patterns in our catalog's extensive datasets and should have advanced data analysis skills (SQL). Your role will ultimately help us ensure that customers have access to accurate and authentic product information, and that brand owners and selling partners using Amazon can trust the integrity of our catalog.

Successful candidates will have a keen ability to distill insights from data analysis and internal escalations, and form comprehensive mitigation strategies to address identified risks. They will be able to translate these insights into effective prevention mechanisms and improve catalog quality outcomes. They will thrive in an environment with lots of opportunity to invent new approaches, while moving fast and learning from prior investigations. They should be comfortable working in a collaborative, creative, analytical, and fast-paced environment and interacting with senior leaders, technical software development teams, legal and compliance teams, and business intelligence teams.

Key job responsibilities

• Lead complex investigations to identify and analyze new catalog abuse patterns using large-scale data analysis
• Develop and implement comprehensive risk mitigation strategies, partnering with engineering, science, and product teams to build technical solutions
• Own end-to-end management of high-priority and executive escalations, including root cause analysis and response coordination
• Manage regulatory compliance documentation and Competition and Markets Authority (CMA) reporting requirements
• Leverage AI to scale detection and enforcement
• Design and implement process improvements for abuse detection and mitigation, including creation of metrics and dashboards to track program effectiveness
• Create deep-dive analyses and executive-level documentation summarizing findings and recommendations
• Identify policy gaps and propose solutions to address emerging abuse patterns
• Build and maintain strong partnerships …
• Monitor and analyze emerging trends in e-commerce that could impact catalog integrity

A day in the life

This role partners with Product, Engineering, Science, and BI teams to investigate and mitigate catalog abuse. You'll analyze data to identify emerging abuse patterns, manage executive escalations, and coordinate global responses. Daily activities include SQL analysis, reviewing abuse reports, stakeholder meetings, and preparing executive communications.

Key stakeholders include Catalog Integrity Tech, Brand Registry, Retail/Category teams, ASCS and Legal/Compliance. Customers are both internal (Amazon business teams) and external (brands, sellers, and end customers), and you'll focus on preventing abuse that compromises catalog integrity, such as inconsistent variation , review aggregation, miscategorization, inappropriate claims, and other forms of listing data manipulation.

About the team

The Catalog Abuse team safeguards the integrity of Amazon's product catalog, ensuring customers can make informed purchasing decisions based on accurate product information. Our mission is to detect, prevent, and mitigate abuse that compromises catalog quality and trust. We're a data-driven team that combines technical expertise with investigative skills to protect millions of product listings globally.

Our culture emphasizes innovation, collaboration, and rapid problem-solving. Team members are empowered to experiment with new approaches while working closely with tech and business partners to build scalable solutions that maintain catalog trust.