Jobs at Experian

Owns and prioritizes the product backlog, defines epics and user stories, facilitates requirements workshops, and translates business needs into technical specifications. Collaborates with product, architecture, development, QA, and delivery teams to ensure high-quality solutions. Supports Agile ceremonies, continuous improvement, regulatory compliance, stakeholder management, and delivery across multiple data, credit, and decisioning products.

Own relationships with at-risk and canceling customers to protect revenue, restore product usage, and secure renewals. The role involves negotiating contract terms, addressing concerns, presenting tailored retention solutions, forecasting, meeting retention targets, and influencing customer decisions. The manager will build long-term B2B client partnerships, communicate complex information clearly, use data to guide decisions, and collaborate cross-functionally to achieve mutually beneficial outcomes.

Develop statistical and machine-learning models, analyze complex datasets, design experiments, and deliver data-driven solutions for marketing and customer-data products. Responsibilities span problem definition, data exploration, feature engineering, validation, monitoring, and communicating findings. The role collaborates with Product, Data Engineering, Scrum teams, and business stakeholders, with opportunities to work on embeddings, RAG, prompt engineering, audience taxonomy, spend analytics, and other AI initiatives.

Lead modernization of legacy ASP.NET applications into React, TypeScript, and modern .NET services. Guide architecture, coding, testing, security, code reviews, and technical standards while contributing production code. Use AI tools such as Cursor and Claude for development and modernization, mentor engineers, collaborate across product and security teams, and oversee application reliability, maintenance, and continued development.

Develop and release identity and fraud products while advising regional delivery teams throughout the software development lifecycle. Provide operational guidance, product consultancy, incident support, and customer-focused solutions. Lead engineering productivity through AI-native automation and improvement initiatives. Manage and troubleshoot SaaS, hosted, and on-premises solutions using AWS, DevOps, CI/CD, monitoring, containerization, and cloud platforms. This hybrid role requires working from the office two days weekly.

Build and architect a shared enterprise Agentic AI Platform for designing, deploying, and operating AI agents and workflows. Develop orchestration, lifecycle management, memory, governance, security, registries, runtime controls, and reusable workflow primitives. Establish reference architectures and golden paths for multi-agent systems, integrate with enterprise platforms, reduce architectural fragmentation, and influence teams through hands-on engineering and technical leadership.

Leads site reliability engineering strategy and team development. Establishes SLIs, SLOs, and SLAs; improves system reliability, performance, automation, and disaster recovery. Leads critical incident response, root-cause analysis, postmortems, and preventive actions. Develops observability using monitoring, logging, dashboards, alerting, and anomaly detection. Partners with development teams to integrate reliability into secure, high-volume systems operating in regulated environments.

Lead fraud analytics innovation by developing machine learning, graph, behavioral, deep learning, and GenAI solutions. Analyze large-scale data, build fraud models and scalable pipelines, validate model performance and fairness, and transition prototypes into production on the Ascend platform. Partner with distributed teams, lead analytical workstreams, translate technical findings into recommendations, mentor colleagues, and promote responsible AI and reproducible practices.

Leads Experian’s Performance Analytics function, setting its strategy, roadmap, and delivery. Develops predictive models, analytical frameworks, KPIs, reporting, and performance insights covering customer lifetime value, retention, churn, profitability, and growth. Partners with Commercial, Memberships, Finance, Trading, Marketing, Product, and Technology leaders to influence strategic decisions. Manages and develops a high-performing analytics team while applying AI and automation to improve commercial outcomes.

Leads Product Analytics strategy, roadmap, and delivery for direct-to-consumer digital products. Partners with Product, Design, Engineering, Marketing, Data Science, and Data Engineering teams to improve customer journeys, engagement, conversion, retention, and lifetime value. Oversees predictive modeling, experimentation, behavioral analytics, personalization, recommendation engines, and AI-driven decisioning. Builds measurement frameworks, influences product prioritization, and manages a high-performing analytics team.

Designs, develops, deploys, and supports enterprise RPA and automation solutions using UiPath, .NET/C#, SQL, APIs, workflows, and AI-enabled technologies. Evaluates automation opportunities, builds scalable integrations, troubleshoots production issues, applies security and governance controls, and drives continuous improvement. Collaborates with business and technology stakeholders throughout the automation lifecycle in an Agile, hybrid environment.

Own the Identity Plus optimization roadmap, monitoring commercial performance and identifying growth opportunities. Develop hypotheses, targeting, personalization, and experiments to increase adoption and improve the customer experience. Partner with Product, Design, Engineering, and Analytics on new features, testing, rollout, and performance measurement. Communicate insights and recommendations to stakeholders while balancing customer outcomes, commercial performance, and broader product goals.

Conducts machine learning research and development, evaluating large datasets, designing data structures, developing data-processing tools, building and validating analytical models, and prototyping new products. Applies statistical, machine learning, deep learning, text-mining, and optimization techniques to solve business problems, assess data value, analyze ROI, and present model performance to internal and external clients.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Develop, enhance, and support the TenderLink platform using .NET, JADE, AWS, and modern web technologies. Build scalable applications, APIs, integrations, and cloud solutions; modernize existing services; troubleshoot production issues; contribute to CI/CD, automation, code reviews, and Agile engineering practices; mentor team members; and use AI-assisted development tools to improve delivery.

Develop, enhance, test, and support the TenderLink platform using .NET, JADE, AWS, APIs, integrations, and modern web technologies. The role includes platform modernization, production troubleshooting, CI/CD automation, code reviews, Agile collaboration, mentoring, and use of AI-assisted development tools.

Supports the FP&A team with month-end reporting, forecasting, budgeting, report standardization, policy compliance, and annual operating budget development. This full-time, 12-month internship is designed for a final-year finance, financial management, or accounting student or recent graduate.

Leads global platform engineering for identity and access, portals, design systems, observability, monitoring, billing, and metering. Develops enterprise cloud and modernization strategy, establishes platform standards, drives adoption across business units, and oversees a 100+ person organization. Partners with senior executives globally to align shared platform investments with business outcomes, security, resiliency, innovation, and operational efficiency.

Lead the Affordability product domain, owning its roadmap, backlog, prioritization, governance, and delivery performance. Manage and coach Product Owners, lead a Scrum team, establish product ownership standards, and drive Agile improvements across squads. Partner with compliance, legal, risk, technology, and senior stakeholders to ensure GDPR, Consumer Duty, FCA, and Open Banking obligations are embedded. Apply AI responsibly to improve product discovery, documentation, analysis, and delivery.

Develop data-driven analytics products using consumer bureau and financial-services data. Responsibilities include data preparation, exploratory analysis, feature engineering, statistical and machine-learning modeling, validation, reusable code development, UAT support, productisation, documentation, and collaboration with Product and Technology teams. The role also requires adherence to data security, model governance, compliance, and quality standards.