Senior Manager, Advanced Analytics, Fraud & Safety Operations

Responsibilities

• Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization.
• Co-own and drive the enterprise-wide “Safety Single Source of Truth” (SSoT) strategy—a unified, structured data asset and taxonomy that underpins decision-making across Product, Operations, Policy, and Legal. Ensure metrics are future-proof, privacy-compliant, and globally scalable.
• Build self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes.
• Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
• Lead incident “war rooms,” presenting fast, actionable insights during high-severity events.
• Contribute to policy design (e.g., connected-accounts enforcement thresholds).
• Support external audits, law-enforcement requests, and board-level reporting.
• Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations (e.g., GDPR, CCPA).
• Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory impact of safety incidents.

Requirements

• 8+ years of experience in analytics, risk, or safety; 3+ years leading high-performing teams.
• Proven ownership of large-scale data products or taxonomies in a regulated environment.
• Strong SQL & data-modeling expertise; experimentation design, familiarity with Python/R; working knowledge of ML pipelines.
• Deep understanding of measuring rare platform events with statistical rigor, user authentication & connected-account vectors (e.g., social logins, device fingerprinting), circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse), global privacy and data-protection standards (GDPR, CCPA, SOC 2).
• Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises.
• Track record of enabling legal, policy, ops, product, and engineering teams to make independent, data-driven decisions via self-service.
• Exceptional storyteller with a flair for making complex analytics actionable.

Nice-to-Haves

• Prior work in marketplace, fintech, or travel/hospitality tech environments.
• Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks.
• Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors.
• Statistics or quantitative graduate degree (MS/PhD).