Sr Manager, Advanced Analytics, FSI

Responsibilities

Operational Analytics

• 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

Experimentation & Continuous Improvement

• 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)

Workforce & Vendor Analytics

• 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

Cross-Functional Execution

• 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

Scaling Analytics & Decision Systems

• 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, 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
• Track record of enabling legal, policy, ops, product, and engineering teams to make independent, data-driven decisions via self-service
• Exceptional storyteller with a flair for making complex analytics actionable

Preferred Experience

• 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, experimentation platforms, real-time operations analytics

Compensation

Pay Range: $212,000—$265,000 USD (base pay). Eligible for bonus, equity, benefits, and Employee Travel Credits.