Program Manager II, Risk Mining, Account Integrity

Amazon's Account Integrity Team (AIT) within Buyer Risk Prevention (BRP) protects hundreds of millions of customers by identifying and stopping fraudulent activity before it causes harm. The Risk Mining function is where human ingenuity meets machine learning - our team detects emerging modus operandi (MOs) that automated systems alone can't catch, and feeds those signals back into scalable upstream defenses. If you want your program management skills to directly translate into customer trust at global scale, this is the team. The Program Manager (PM II) will own the operational rhythm and cross-functional coordination for Risk Mining across four verticals spanning India and Costa Rica. This is a role where you will have real ownership from day one - partnering with Risk Mining leadership to scope processes, define goals, build reporting mechanisms, and drive delivery against them. You will work with a high degree of autonomy, collaborating across Engineering, Machine Learning, Product, and partner risk teams to improve workflows, champion AI-enabled solutions, and deliver measurable gains in detection speed, quality, and operational efficiency. This is an execution-focused role with broad cross-team influence, reporting to the Risk Mining leadership team. The PM is accountable for scoping processes, owning the operating cadence, driving programs to delivery, mitigating risk, and clearing blockers. Key job responsibilities 1. Operating Cadence & Reporting - Own Weekly Program Review (WPR) and Quarterly Program Review (QPR) reporting for the Risk Mining function, ensuring data accuracy, timely delivery, and clear path-to-green commentary on key goals. - Own Flash preparation and build a self-sustaining reporting rhythm where leadership always has an accurate, on-time view of the org. - Track and drive closure of action items stemming from business reviews and COE findings. - Accelerate progress by driving crisp, timely decisions, identifying and clearing blockers, and escalating appropriately. 2. Cross-Team Collaboration & Standardization - Drive cross-RM initiatives with Payment Risk (PRISM-I) and Abuse Risk Mining (ARM) teams. - Serve as the operational point of contact for joint MO investigations and deep dives. - Lead coordination and sync between India and Costa Rica sites to reduce operational drift across verticals. - Standardize processes, tooling, and communication cadences across all Risk Mining verticals to ensure consistent quality and velocity. - Own the program for feedback loops from Risk Mining MOs back into ML, Engineering, and Product teams. 3. SOP Governance & Audit-Readiness - Lead SOP lifecycle management - author, review, deploy, and ensure parity or superiority of SOPs across BRP. - Keep SOPs audit-ready with periodic reviews and documentation updates tied to policy changes. - Manage the goals document and quarterly planning cycles to keep the team aligned with org-level priorities. - Drive efficiency in rule management - create paths to offline monitoring, and partner with ML teams on rule lifecycle. 4. Innovation & GenAI Enablement - Identify automation and GenAI opportunities within Risk Mining workflows. - Reduce manual effort and improve throughput and quality in MO identification, triage, and reporting. - Partner with Engineering, ML, and Product teams to pilot and adopt AI-assisted workflows across Risk Mining operations. - Develop the RM MO Repository - a scalable knowledge base of modus operandi patterns for reuse across AIT and partner teams. - Propose and implement programs such as Hackathons, Innovation Workshops, and AI Proficiency sprints. - Establish mechanisms to measure realized ROI from AI investments. 5. ML & Engineering Intake & Prioritization - Own the ML and Engineering intake mechanism with AIT and IDS engineering teams. - Ensure the team's highest-value asks are consistently landed, not stuck in ad-hoc queues. - Lead OP1 planning - build intake processes within Risk Mining that