Teams at Bread Financial

Implement and optimize AI Operations and observability capabilities for event correlation, anomaly detection, alert-noise reduction, incident response automation, and operational analytics. Configure monitoring and ITSM integrations, develop automated remediation workflows, evaluate AI/ML operational use cases, and support SRE and service-management teams. The role also provides technical guidance, documents best practices, and assesses emerging AIOps technologies and platform enhancements.

Defines and drives enterprise architecture strategy for Agentic AI, Generative AI, machine learning, and AI data platforms. Establishes architecture standards, reference architectures, adoption roadmaps, and governance frameworks; aligns AI initiatives with business capabilities and enterprise standards; modernizes legacy architecture; presents initiatives to executives; and researches emerging AI technologies. The role requires extensive architecture and IT strategy experience, transformation leadership, AI architecture expertise, and cloud certification.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.