Level

Amazon

Senior Risk Intelligence Manager, GRAMI Risk Intelligence

Amazon is hiring a Senior Risk Intelligence Manager, GRAMI Risk Intelligence in Bellevue, United States. It pays $109k-$155k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Are you energized by the challenge of identifying, assessing, and mitigating complex risks at scale? Amazon is looking for a Risk Manager III to own and drive cross-functional risk programs that protect our customers and business. In this role, you will manage the full lifecycle of risk programs, partnering with legal, engineering, and business teams to design and implement controls, interpret regulatory requirements, and quantify risk reduction through data-driven metrics. You will balance competing priorities, navigate ambiguity, and translate complex risk landscapes into clear strategies and actionable plans that leadership can rally behind.

Key job responsibilities
- Own the development of data-driven risk intelligence initiatives end to end across multiple global risk domains in supply chain.
- Partner with Product and Tech to develop Machine Learning models that detect and prioritize risk.
- Identify priority risk areas and scope high-impact use cases, including in ambiguous spaces where no precedent exists.
- Conduct data analysis and research to develop risk indicators that feed the models and shift detection from reactive and periodic to proactive and risk-based.
- Deep-dive on available data sources, determine authoritative sources of truth across multiple systems, and trace data lineage and ownership.
- Provide the risk and compliance judgment that models require, evaluating the reasoning behind model outputs, and validating that models identify genuine risk.
- Assess the downstream impact of model-driven decisions, and how model outputs translate into risk-based action.
- Work with operations teams to incorporate the Machine Learning solutions into operation workflow, transforming risk management from a reactive, periodic posture to a proactive, risk-based one.
- Drive ongoing alignment of solutions with partners and stakeholders across Product, Tech, Operations, Finance, and Legal without direct authority.
- Communicate risk intellgence insights and program progress to leadership and stakeholders at all levels.

A day in the life
You will start your day reviewing risk metrics and control performance data, then shift into cross-functional meetings where you align stakeholders on program priorities and resolve open issues. You might spend the afternoon drafting a narrative for senior leadership that frames a newly identified risk alongside recommended mitigations, or evaluating whether a proposed control meets regulatory requirements. Expect to leverage generative AI tools to accelerate research and analysis while applying your judgment to refine outputs and ensure accuracy.

About the team
Our team is dedicated to building and scaling risk management programs that keep Amazon's customers and operations protected. We work at the intersection of business strategy, regulatory compliance, and technology — partnering across the company to create practical, measurable solutions to complex risk challenges. We value collaboration, intellectual curiosity, and a willingness to tackle ambiguous problems. If you are motivated by meaningful impact and want to help shape how Amazon manages risk at a global scale, we would love to hear from you.

Basic qualifications

- Experience in compliance, audit or risk management
- 6+ years of data-driven business/risk intelligence related experience
- Bachelor's degree, or Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field

Preferred qualifications

- Master's degree or equivalent
- Experience managing multiple competing priorities simultaneously and driving goals to completion
- Experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship
- Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent

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, TN, Nashville - 109,000.00 - 155,400.00 USD annually
USA, WA, Bellevue - 121,200.00 - 163,900.00 USD annually

How we rate this

Senior Risk Intelligence Manager, GRAMI Risk Intelligence at Amazon rates 23 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.

  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. Read the description and count the AI tools, models and workflows it names.

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