Manager, Business Intelligence, Fraud Investigations, Recovery & Enforcement (FIRE)
Core
Lead a team transforming business intelligence from static dashboards to production-grade AI agents for fraud prevention, detection, and investigation in FinOps.
Role type
Manager, Business Intelligence (AI/ML focus)
Builds
AI-powered fraud analytics engine, agentic investigation tools, conversational self-service workflows, and scalable data platforms.
Domain
FinTech / Fraud Analytics / AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Business intelligence strategy, team leadership (4-5 years), SQL, ETL, data visualization (Tableau/Quicksight), statistical/machine learning software (R/Python/SAS/Matlab)
Preferred skills
Large data warehousing architecture, risk management & fraud domain, Generative AI patterns (multi-agent orchestration, RAG, fine-tuning)
Technologies
Tableau, Quicksight, R, Python, Weka, SAS, Matlab
Responsibilities
Lead and develop a team of BI Engineers and Data Engineers; own BI strategy for fraud prevention and detection; embed AI in data ingestion, entity resolution, and reporting; drive shift to autonomous workflows; partner with investigators to translate problems into agent architectures; evolve fraud data platform for billion-row scale; define metrics for fraud rates and recovery; enforce data integrity and code quality best practices.
Seniority
Manager, hands-on leadership
