Senior Manager, Advanced Analytics, Fraud & Safety Operations

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

💵 $212 000 - $265 000 / an

⏰ Temps Plein

🟠 Senior

⚙️ Opérations

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Airbnb

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2007

✈️ Tourisme

📦 Logistique

🛍️ eCommerce

💰 Post-IPO Equity en 2020-12

Travel • Logistics • eCommerce

Airbnb est une place de marché en ligne mondiale qui met en relation des personnes cherchant un hébergement avec des hôtes proposant des options de logement uniques et variées, souvent dans des propriétés résidentielles. Les utilisateurs peuvent réserver des espaces allant d'appartements d'une chambre entière à des maisons complètes et des hôtels de charme. Airbnb propose également des expériences, permettant aux invités de réserver des activités organisées par des locaux, offrant ainsi une expérience de voyage authentique.

Description

• Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization. • 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. Ensure metrics are future-proof, privacy-compliant, and globally scalable. • 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. • Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams. • Cross-Functional Execution • Lead incident “war rooms,” presenting fast, actionable insights during high-severity events. • Contribute to policy design (e.g., connected-accounts enforcement thresholds). • Support external audits, law-enforcement requests, and board-level reporting • Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations (e.g., GDPR, CCPA). • Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory impact of safety incidents, enabling rapid escalation, crystal-clear retrospectives, and lessons learned.

🎯 Exigences

• 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, familiarity with Python/R; working knowledge of ML pipelines. • Deep understanding of: • How to measure rare platform events with statistical rigor • User authentication & connected-account vectors (e.g., social logins, device fingerprinting). • Circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse). • Global privacy and data-protection standards (GDPR, CCPA, SOC 2, etc.). • 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.

🏖️ Avantages

• Financial Benefits that may include: bonus opportunities, equity opportunities, and Employee Travel Credits.