Level

Amazon

Risk Manager, Risk Management, Risk & Resilience

AI in this role

Perform data-driven risk assessments and develop mitigation plans for international operations using generative AI tools.

gen-ai
risk-managementsecurity-operationsdata-analysissupply-chain-managementstakeholder-engagement
As a Risk Manager, International (INTL) within Worldwide Operations Security (WWOS) Risk & Resilience (R&R), you will support and contribute to Amazon's enterprise risk management (ERM) program. This involves creating innovative and scalable solutions to protect Amazon people, assets, and operations across EMEA and APAC. You will produce data-driven risk assessments that enable business decision-making on proportionate security controls. Reporting to the head of INTL Risk Management, you will contribute to international risk coverage, collaborate with cross-functional stakeholders across multiple regions and time zones, and implement program outcomes that ensure downstream security functions and operational leaders can act with precision against emerging threats.

Key job responsibilities
o Identify risks to Amazon, analyze business impact, and develop actionable treatment plans.
o Engage stakeholders to understand new business models and operational programs to ensure a comprehensive risk management approach.
o Leverage Gen AI solutions to quickly analyze data, drawing out how different risks and recommended mitigations affect the broader supply chain.
o Responsible for contributing to key performance indicators (KPIs) related to risk assessment delivery and loss avoidance.
o Work independently within a geographically dispersed team.


Basic qualifications

- Bachelor's degree or equivalent
- o 3+ years of experience in security operations or risk management
- o Experience managing and analyzing large data sets with Gen AI solutions.
- o Experience working cross-functionally with a diverse breadth of stakeholders.
- o Strong written and oral communication skills.

Preferred qualifications

- o Experience in logistics or supply chain management.

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.

How we rate this

Risk Manager, Risk Management, Risk & Resilience at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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 ManagementSecurity OperationsData AnalysisSupply Chain ManagementStakeholder EngagementGen AI

Questions you could be asked

  1. Tell me about a project where risk management was part of your work. What did you do?
  2. Tell me about a project where security operations was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where supply chain management was part of your work. What did you do?
  5. Tell me about a project where stakeholder engagement was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Risk Management, Security Operations, Data Analysis, Supply Chain Management, and Stakeholder Engagement. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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