Teams at Experian

Lead multiple complex client implementations and strategic programs from launch through completion. Responsibilities include creating project plans and documentation, tracking deliverables, managing risks and escalations, communicating status and milestones, and coordinating cross-functional teams. The role partners with Sales, Customer Success, Delivery, Technical Project Management, and Product to improve client outcomes, operational efficiency, transparency, and processes.

Lead the architecture and implementation of an enterprise AI-native software development lifecycle platform serving over 5,000 engineers. Design AI agents, knowledge graphs, retrieval systems, governance controls, an AI marketplace, and Model Context Protocol integrations. Establish evaluation, telemetry, audit logging, security, and human approval workflows. Partner across security, cloud, enterprise AI, and engineering teams while mentoring engineers and influencing architecture as a hands-on individual contributor.

Develop and evaluate machine learning models for fraud detection across account opening, account takeover, and identity risk. Responsibilities include exploring large datasets, identifying fraud patterns, engineering features, testing models, writing production-quality Python code, supporting model monitoring, and communicating analytical findings. The role also applies data privacy, explainability, validation, documentation, and governance standards while collaborating with senior data scientists and engineering teams.