Senior Manager, Advanced Analytics, FSI

🕒 May 14

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Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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 KPI’s and operational metrics • Translate ambiguous problems into structured analytical frameworks • Influence cross-functional stakeholders (Ops, Product, Policy, Finance) • 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

🏖️ Benefits

• bonuses • equity • benefits • Employee Travel Credits

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