Sr Risk Manager, Amazon Business Payments & Lending

Key job responsibilities

• Strategic Planning & Execution
• Define and own portfolio health metrics, performance targets, and escalation thresholds across the customer lifecycle
• Identify emerging trends and business risks proactively; develop and execute mitigation strategies to protect Amazon's balance sheet
• Drive strategic initiatives from concept to launch, working backwards from customer needs while balancing growth and sustainability objectives
• Partner with Product teams to define features, policies, and customer experiences that enable scalable, automated decision-making
• Cross-Functional Leadership
• Build and maintain strong partnerships with onsite operations, Product, Engineering, Science, and Account Receivables teams
• Influence stakeholders across the organization to drive alignment and action without direct reporting authority
• Own end-to-end program execution, managing dependencies and driving results across multiple teams and time zones
• Establish and manage loss mitigation and recovery processes in partnership with collections teams
• Data-Driven Innovation
• Leverage data analysis to identify opportunities for portfolio optimization and customer experience improvements
• Design and drive experiments that test hypotheses and inform product and operational decisions
• Build mechanisms to monitor portfolio performance, surface insights, and enable rapid response to changing conditions
• Persistently use the AI Agent to conduct portfolio analysis, generate insights, and draft communications at scale
• AI-Enabled Portfolio Management
• Provide requirements to shape the agent's capabilities based on portfolio management workflows
• Develop the behind the scenes knowledge base and deterministic analysis tools that AI agent will leverage
• Collaborate with Science and Engineering teams to improve agent performance and expand use cases
• Operational Excellence
• Define SOPs and operational processes that enable efficient scaling while maintaining high quality standards
• Establish mechanisms for continuous improvement and operational efficiency
• Drive automation initiatives that improve customer experience while reducing operational burden

About the team

The Amazon B2B Payments & Lending team provides invoicing, working capital and payment acceptance solutions to Amazon Business customers, sellers and other small business customers across Amazon. We are part of the global Consumer Payments organization, who aims to delight our customers by building payment experiences and financial services that are trusted, valued and easy to use from anywhere in any way.

Basic Qualifications

• Bachelor's degree or above
• Experience managing competing priorities and using metrics to drive business decisions
• Experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship
• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
• 8+ years of experience in product management, program management, business operations, or data analytics roles
• Strong analytical skills with proficiency in SQL and data analysis tools (Excel, Python, R, or similar)
• A high attention to detail with a bias for action and willingness to dive deep to solve problems at root cause

Preferred Qualifications

• Master's degree
• Experience in risk management and internal audit including: performing risk assessments and audits, designing controls, managing enterprise control frameworks, and prioritizing risk
• Familiarity with credit concepts, portfolio management, or financial risk principles
• Experience building and scaling 0-to-1 products or programs
• Demonstrated success driving innovation and experimentation in ambiguous environments
• Experience working with AI/ML tools, large language models, or generative AI applications
• Background in building automated decision systems or working with machine learning models
• Experience working with global teams across multiple time zones
• A curiosity about AI and enthusiasm for exploring how generative AI can transform knowledge work

Pay

Base salary range: $133,300.00 - $185,000.00 USD annually