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.
Requirements
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).
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.
Tech Stack
Python
SQL
Benefits
Financial Benefits that may include: bonus opportunities, equity opportunities, and Employee Travel Credits.