Sr. Risk Manager, SPS Internal Risk

Amazon is hiring a Sr. Risk Manager, SPS Internal Risk in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

We are seeking a Senior Risk Manager to lead execution and remediation for our global surveillance testing program. In this role, you will establish and scale surveillance frameworks, drive strategic process improvements, coordinate with testing laboratories, and own the remediation process from test result receipt through resolution. You will be responsible for translating technical requirements into operational reality while ensuring rapid response to safety risks and quality issues across multiple product categories and regions.

Key job responsibilities
• Establish and scale end-to-end execution framework documentation, standardize processes across regions, and create operational playbooks for global deployment
• Lead coordination with third-party testing laboratories and provide strategic guidance to planning team on testing methodologies and laboratory capabilities
• Own remediation from test result receipt through resolution, including rapid response to failed tests, corrective action implementation, and systemic issue resolution
• Lead cross-functional coordination with internal teams on operational execution and framework implementation across multiple workstreams
• Establish metrics reporting frameworks, track remediation outcomes, and drive continuous improvement initiatives based on performance data and trend analysis.

About the team
This role is critical to establishing and scaling our surveillance strategy, coordinating with testing laboratories, and ensuring rapid, effective response to safety risks that protect customers globally.

Basic qualifications

- Bachelor's degree or above in Engineering (any domain), Operations, Business Administration, or a related field
- 5+ years of program or project management experience
- Experience delivering results for large, cross-functional initiatives/projects
- Experience managing multiple projects, prioritizing, planning, and managing time
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
- Experience working with data and leveraging analytics to make decisions
- Experience with laboratory testing processes, testing methodologies, or quality control procedures

Preferred qualifications

- Experience in retail, project management, supply chain, inventory management, sourcing, finance and/or consulting
- Experience using Lean Process Improvement, Six Sigma methodologies or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, and logistics
- Background working with third-party testing laboratories or expertise in testing protocols (microbiological, chemical, molecular)
- Proven ability to establish governance frameworks and drive adoption of new processes across diverse stakeholder groups

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.

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How we rate this

Sr. Risk Manager, SPS Internal Risk at Amazon rates 33 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. Read the description and count the AI tools, models and workflows it names.