Sr. Risk Manager, Sales Abuse, Sales Abuse Prevention

AI in this role

Manage catalog integrity and risk prevention by discovering abuse patterns and partnering with data scientists and engineers.

sql

risk-managementdata-sciencefraud-detectioncatalog-integritycompliance

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 with key stakeholders across the organization

• 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.

Basic qualifications

- 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

Preferred qualifications

- 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

How we rate this

Sr. Risk Manager, Sales Abuse, Sales Abuse Prevention at Amazon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Risk ManagementData ScienceFraud DetectionCatalog IntegrityComplianceSQL

Questions you could be asked

Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where fraud detection was part of your work. What did you do?
Tell me about a project where catalog integrity was part of your work. What did you do?
Tell me about a project where compliance was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Risk Management, Data Science, Fraud Detection, Catalog Integrity, and Compliance. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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