[Remote] Senior Manager, Advanced Analytics, Fraud & Safety Operations

Note: The job is a remote job and is open to candidates in USA. Airbnb is a global platform that connects hosts and guests for unique stays and experiences. The Senior Manager of Advanced Analytics, Fraud & Safety Operations will lead a team of analysts to develop and implement analytics systems that enhance safety and fraud detection across the platform.

Responsibilities

• 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
• 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

Skills

• 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
• Deep understanding of user authentication & connected-account vectors (e.g., social logins, device fingerprinting)
• Deep understanding of circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse)
• Deep understanding of 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
• 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)

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits

Company Overview

Company H1B Sponsorship