Sr Risk Manager, Amazon Business Payments & Lending

Amazon Amazon · Big Tech · NY +1 · Project/Program/Product Management--Non-Tech

The Sr. Risk Manager will drive the strategy and performance of lending portfolios within Amazon Business Payments & Lending. This role involves product management, data analytics, and portfolio strategy, with a unique focus on leveraging and shaping an AI Agent for portfolio management. Responsibilities include defining metrics, identifying trends, driving strategic initiatives, cross-functional leadership, data-driven innovation, and operational excellence, all while working with a generative AI tool to automate analysis and generate insights.

What you'd actually do

  1. Define and own portfolio health metrics, performance targets, and escalation thresholds across the customer lifecycle
  2. Identify emerging trends and business risks proactively; develop and execute mitigation strategies to protect Amazon's balance sheet
  3. Drive strategic initiatives from concept to launch, working backwards from customer needs while balancing growth and sustainability objectives
  4. Partner with Product teams to define features, policies, and customer experiences that enable scalable, automated decision-making
  5. Provide requirements to shape the agent's capabilities based on portfolio management workflows

Skills

Required

  • 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
  • Experience in managing multiple, competing priorities simultaneously
  • 8+ years of experience in product management, program management, business operations, or data analytics roles
  • Experience managing complex, cross-functional programs from conception through delivery
  • Strong analytical skills with proficiency in SQL and data analysis tools (Excel, Python, R, or similar)
  • High attention to detail with a bias for action and willingness to dive deep to solve problems at root cause

Nice to have

  • Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with financial services, payments or e-commerce
  • 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 work

What the JD emphasized

  • AI Agent
  • generative AI tool
  • Portfolio Manager AI Agent
  • AI-enabled portfolio management
  • AI Agent

Other signals

  • AI Agent
  • generative AI
  • portfolio management AI Agent
  • automate analysis
  • generate insights
  • draft L10 docs
  • augment portfolio managers' capabilities
  • shape its evolution