Senior Manager, Advanced Analytics, Fraud & Safety Operations

Airbnb Airbnb · Consumer · United States · Analytics

Senior Manager, Advanced Analytics, Fraud & Safety Operations at Airbnb. Leads a team of analysts to turn safety measurement into governed, self-serve decision systems for various departments. Focuses on building systems for fraud, safety, and quality, including scenario simulators and data democratization, to enable data-driven decisions. Requires experience in analytics, risk, or safety, team leadership, and ownership of large-scale data products in regulated environments. Familiarity with ML pipelines and understanding of incident impact analysis is needed.

What you'd actually do

  1. Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization.
  2. 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.
  3. 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.
  4. Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
  5. Lead incident “war rooms,” presenting fast, actionable insights during high-severity events.

Skills

Required

  • 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
  • Working knowledge of ML pipelines
  • 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, 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

Nice to have

  • Familiarity with Python/R
  • 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)

What the JD emphasized

  • Proven ownership of large-scale data products or taxonomies in a regulated environment.
  • Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations (e.g., GDPR, CCPA).

Other signals

  • building systems that help Airbnb see around corners
  • democratize data access
  • build always-on scenario simulators for fraud and safety
  • turn incident impacts into seamless signals for continuous improvement
  • empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time