The Regulatory Intelligence, Safety and Compliance (RISC) team's charter is to protect Amazon customers from products that are illegal, illegally marketed, unsafe, or otherwise prohibited by Amazon policies.

The Sr. Risk Manager (SRM) supports ongoing projects and improvement of systems supporting the Cross Border Compliance team. You will influence behavior, plan projects, and work cross-functionally with legal and business stakeholders globally, to operationalize and implement regulatory requirements.

The SRM will ensure compliance with all corporate compliance program expectations and applicable federal and state law. You will conduct risk assessments related to existing processes and new product assortment. You will also recommend appropriate risk mitigation measures to corporate compliance, including process change and training considerations.

Key job responsibilities
The Sr. Risk Manager (SRM) will act as RISC Single Threaded Leader (STL) for cross-border classification workflows across multiple programs within TSE, building processes, mental models, tenets, RACIs, to support the adoption of cross border classification at scale. They will act as the coordinator between Ops, compliance and safety programs, CPP, CoSS, and WW legal teams to define new classification workflows aimed at reducing our cost to serve while increasing controls coverage and quality WW. Specifically, the SRM will focus on: (a) building a governance mechanism as we launch multi-regional controls, which will define approval processes (e.g., when, how, and which legal teams required approval when launching cross-functional classification), guardrails to modify/maintain classification (e.g., when to decouple classes based on regulatory changes), and classification quality requirements (e.g., precision/recall minimum thresholds); (b) leading the redesign of classification workflows, piloting scalable class re-usability across functions (e.g., class re-usability e-mobility safety control) at the moment of launch, coordinating program requirement with CPP/CoSS as we develop and scale global taxonomies, and integrating TSE program agnostic workflows and downstream activities (e.g., reducing manual classification inflows); and (c) drive holistic class management, developing processes to take corrective actions WW vs. at an ASIN-class-program-store level done today, aimed at improving how we maintain control WW.