Teams at Experian

Leads global AI integration across software engineering platforms and manages distributed engineering leaders across three countries. Drives adoption of AI-assisted development tools, modernizes software delivery workflows, oversees security and compliance, and integrates AI into React, .NET, Java, Salesforce, and MuleSoft platforms. Requires extensive software development and senior engineering leadership experience, plus expertise in cloud, SaaS architecture, privacy, tenant isolation, and enterprise AI transformations.

Develop fraud detection and identity-risk machine learning models from problem definition through production deployment. Responsibilities include investigating fraud patterns, exploratory analysis, feature engineering, model training and evaluation, production-quality Python and PySpark development, monitoring model and feature drift, and presenting analytical recommendations. The role requires collaboration with data scientists and engineers while addressing privacy, explainability, validation, governance, and real-world fraud-modeling challenges such as class imbalance and delayed labels.

Leads the enterprise Identity Governance and Administration engineering team, setting technical strategy for SailPoint Identity Security Cloud, identity lifecycle management, access governance, provisioning, certifications, and non-human identity controls. Oversees platform architecture, migrations, integrations, automation, DevSecOps, infrastructure as code, application onboarding, compliance, and operational reporting while partnering with security, cloud, architecture, application, and business leaders.