The Job

Manager, Business Intelligence, Fraud Investigations, Recovery & Enforcement (FIRE)

Finans, bank och juridik · Bank och investeringar · Business intelligence · Dataanalys · Riskhantering

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I korthet

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.

Ansvarsområden

  • 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.

Krav

  • 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.

Önskade kvalifikationer

  • 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.

Förmåner

  • 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
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Företag

Amazon

Publicerade jobb

för 2 veckor sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Ledning

Platser

Hyderabad, India

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