Manager, Business Intelligence, Fraud Investigations, Recovery & Enforcement (FIRE)
Finance, Banking & Legal · Banking & Investments · Business Intelligence · Data Analysis · Risk Management
In short
Manage a team of Business Intelligence Engineers and Data Engineers focused on fraud prevention, detection, and investigation analytics for FinOps. Drive the transformation of business intelligence into an AI-powered fraud analytics engine, embedding AI across the stack and moving towards autonomous workflows. This is a hands-on leadership role based in Hyderabad.
Responsibilities
- Lead, hire, develop, and retain a team of 4 Business Intelligence Engineers and 1 Data Engineer.
- Own the BI strategy and roadmap for FinOps fraud prevention, detection, and investigation.
- Embed AI in every layer of business intelligence, from data ingestion to reporting.
- Drive the shift from static dashboards to active, conversational, and autonomous workflows.
- Partner with FIRE Investigators and Program Managers to translate fraud problems into analytical solutions.
- Own and evolve FIRE's fraud data platform for scalability and reliability.
- Partner with Data Science, FinTech, and FinAuto to streamline the prototype-to-production lifecycle.
- Define and own metrics for fraud rates, exposure, loss, recovery, and detection coverage.
- Establish and enforce best practices in data integrity, model management, code quality, testing, and documentation.
- Prioritize competing requests, balancing operational needs with platform and AI investments.
- Communicate architecture decisions and insights to technical and non-technical stakeholders.
Requirements
- 7+ years of business intelligence and analytics experience.
- 5+ years of delivering results managing a business intelligence or analytics team.
- Experience with SQL.
- Experience with ETL.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software.
Desired Qualifications
- 4+ years of working with very large data warehousing environments.
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, data structures, and hands-on SQL coding.
- Experience across the domain of risk management & fraud.
- Experience with various statistical techniques (regression analysis, coefficient correlation).
- Experience with Generative AI architecture patterns, including multi-agent orchestration, RAG, and fine-tuning.
- Experience building agentic, conversational, or autonomous workflows.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results.
- Support for individuals with disabilities during the application and hiring process.
#BI#Business Intelligence#Fraud#AI#Machine Learning#Data Engineering#FinOps
Company
Amazon
Job Posted
2 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Executive
Locations
Hyderabad, India
Applicants
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