Sr Manager, Advanced Analytics, Fsi

at Airbnb

📍 United States

USD 212,000-265,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

A/B Testing @ 4 Experimentation @ 4 Fraud @ 4 Machine Learning Python @ 7 R @ 7 SQL @ 7 Scoping @ 6

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

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
- 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