Sr Manager, Advanced Analytics, FSI

About the position Airbnb is scaling how Fraud & Safety operations are measured, governed, and optimized globally. As Senior Manager, Analytics – Fraud & Safety Investigations, you will lead a team of analysts supporting human enforcement systems across content moderation, fraud review, and safety operations. You will own how operational performance is measured and improved—translating complex enforcement workflows into scalable KPI frameworks, experimentation roadmaps, and decision systems. This role sits at the intersection of Operations, Policy, Product, and Engineering, ensuring that human enforcement is efficient, consistent, and aligned with platform safety goals. This is a high-impact leadership role focused on enabling fast, data-driven operational decisions at global scale. 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.

Responsibilities

• Define and operationalize KPI frameworks for global Fraud & Safety operations (quality, accuracy, SLA, productivity, cost)
• Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows
• Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership
• Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience
• Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements
• Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules)
• Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management
• Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards
• Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows
• Partner with Product and Engineering to translate operational insights into tooling and workflow improvements
• Collaborate with Policy and Legal to ensure enforcement decisions are measurable, auditable, and compliant
• Support high-severity incidents and “war room” analytics, providing real-time insights during escalations
• Build self-service analytics tools enabling Ops leaders to monitor performance and run scenario analyses independently
• Standardize metrics, taxonomies, and reporting across workflows to create a consistent “source of truth” for operations
• Drive adoption of data-driven decision-making across global Trust & Safety teams

Requirements

• 8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams.
• Proven ownership of large-scale data products or taxonomies in a regulated environment.
• Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops)
• Strong SQL & data-modeling expertise; experimentation design, working knowledge of Python/R, ML pipelines.
• Proven ability to design KPIs and operational metrics
• Proven ability to translate ambiguous problems into structured analytical frameworks
• Proven ability to influence cross-functional stakeholders (Ops, Product, Policy, Finance)
• Proven ability to drive measurable improvements in quality, efficiency, and cost
• 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

Nice-to-haves

• 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
• Experience with experimentation platforms
• Experience with real-time operations analytics

Benefits

• bonus
• equity
• benefits
• Employee Travel Credits

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