Jobs at Experian

Build and deploy full-stack product features across frontend and backend using TypeScript and Python. Design APIs, influence architecture, collaborate with product and design, and manage features end to end. Apply test-driven development, CI/CD, and automated testing practices while improving system availability, security, reliability, and user experience. Work in a collaborative, agile, product-driven environment with AWS and modern web technologies.

Design, build, test, deploy, monitor, and support backend systems and services. Own the full software development lifecycle, develop APIs and data-focused systems on AWS, collaborate with Engineering, Product, and Data Science teams, and manage production reliability through debugging and continuous improvement. Communicate technical decisions clearly while delivering frequent, high-quality changes using collaborative development practices.

Conduct data science experimentation and evaluation for Generative AI systems, including problem framing, metric definition, baseline comparisons, error analysis, and failure-mode assessment. Collaborate with product, engineering, and business teams to develop GenAI prototypes and production-ready components. Communicate trade-offs and recommendations, apply machine learning and Python, and contribute to knowledge sharing while developing AI engineering skills.

Lead and expand Experian’s global Insider Risk Management Program by analyzing security data, detecting insider threats and data loss incidents, improving UEBA and DLP controls, developing detection logic and predictive models, building dashboards and queries, automating investigative workflows, and supporting insider risk investigations, governance, and reporting.

Advance Experian’s global Insider Risk Management Program through DLP governance, policy and exception reviews, risk assessment, detection use cases, analytics, dashboards, investigations, metrics, reporting, and control improvements. The role partners with DLP Engineering, cybersecurity teams, and business units to strengthen data protection and reduce insider risk.

Leads enablement and innovation for Experian’s UK data quality business. Identifies and executes strategic initiatives, researches emerging technologies, validates new use cases with customers and partners, influences product roadmaps, develops supporting content, and represents the business with external audiences and industry analysts. Focus areas include AI, data observability, real-time data quality, distributed processing, and graph technologies.

Leads enterprise engineering excellence across Technical Program Management, quality and AI evaluation engineering, developer experience, and internal platforms. Establishes global engineering standards, career frameworks, quality practices, CI/CD pipelines, and developer tooling. Oversees internal developer platform strategy, AI-assisted development enablement, cross-organizational technical programs, and dependency management. Partners with executives and regional technology leaders to improve engineering productivity, delivery consistency, resiliency, and quality across traditional software and AI products.