Senior Manager of Advanced Analytics, Fraud & Safety Operations, Airbnb

• 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:
• How to measure 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, etc.)
• Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements
• Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service
• Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization

Desirable

• Reporting to the Director of Advanced Analytics, Fraud & Safety, you will lead a dispersed team of ~8 advanced analysts tasked with turning safety measurement into governed, self-serve decision systems for Policy, Ops, Legal, Product, and Engineering
• You will be a pivotal leader safeguarding Airbnb’s global community. You’ll steer a multidisciplinary team that designs, delivers, and scales state-of-the-art analytics for:
• Safety (physical & digital)
• Connected-account & circumvention detection
• Privacy protection & risk management
• This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners
• You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement
• Your insights and systems will empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time
• Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization
• A core mandate is to 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 without gatekeeping
• Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams
• Cross-Functional Execution
• 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, enabling rapid escalation, crystal-clear retrospectives, and lessons learned