Senior Manager of Advanced Analytics (FSI)

Join Airbnb as a Senior Manager of Advanced Analytics in the Fraud & Safety Investigations team. In this high-impact leadership role, you will lead a team of analysts and own the measurement and improvement of operational performance. You will work at the intersection of Operations, Policy, Product, and Engineering, ensuring efficient and consistent human enforcement aligned with platform safety goals. Your insights and systems will empower stakeholders to make data-driven decisions in real time.

• Lead a team of analysts to support human enforcement systems across content moderation, fraud review, and safety operations.
• Own the measurement and improvement of operational performance, translating complex enforcement workflows into scalable KPI frameworks.
• Collaborate with cross-functional teams to ensure that human enforcement is efficient, consistent, and aligned with platform safety goals.
• Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops)
• Proven ownership of large-scale data products or taxonomies in a regulated environment
• 8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams
• Strong SQL & data-modeling expertise; experimentation design, working knowledge of Python/R, ML pipelines
• Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service
• Translate ambiguous problems into structured analytical frameworks
• Drive measurable improvements in quality, efficiency, and cost
• Influence cross-functional stakeholders (Ops, Product, Policy, Finance)
• Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements
• Design KPI’s and operational metrics
• Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization
• Proven ability to:
• Background in Trust & Safety, Integrity, Fraud, or Risk operations
• Familiarity with real-time decision engines, and anomaly-detection frameworks
• Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors
• Statistics or quantitative graduate degree (MS/PhD)
• Experience with:
• Workforce planning & forecasting
• Experimentation platforms
• Real-time operations analytics