Note: The job is a remote job and is open to candidates in USA. Airbnb is a company that has grown to over 5 million hosts and has welcomed over 2 billion guest arrivals globally. They are seeking a Senior Manager for Advanced Analytics in Fraud & Safety Operations to lead a team of analysts in developing systems for safety measurement and analytics that empower decision-making across various departments.
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
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Company Overview
Company H1B Sponsorship