Jobs at Experian

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.

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.

Leads product strategy and execution for strategic integrations across HCM, payroll, and related systems. Evaluates build, partner, integrate, and co-create opportunities; develops business cases; shapes scalable data connectivity; and drives discovery, prioritization, roadmaps, success measures, and delivery. Partners with alliances, technical teams, clients, and leadership to create integrated solutions and assess AI opportunities, including generative AI, LLMs, and agentic workflows.

Advise Experian’s Financial Services and Data division on regulatory compliance risks related to consumer credit services. Conduct policy gap assessments, develop remediation plans, support regulatory examinations, analyze requested documentation, and coordinate with Legal, Information Security, Governmental Affairs, and business teams. Help improve control effectiveness, resolve compliance issues, and prepare materials for regulatory meetings.

Advise business teams on consumer credit regulatory compliance, perform policy and procedure gap assessments, track remediation, support regulatory examinations, analyze requested documentation, and help prepare regulatory meeting materials. The role collaborates with Legal, Information Security, Governmental Affairs, and business units to address compliance risks, improve controls, and resolve complex issues involving privacy and consumer protection laws.

Lead a portfolio of credit-based, data-driven consumer prospecting products for financial institutions. Define product strategy, requirements, user stories, positioning, pricing, and investment priorities while partnering with engineering, sales, legal, compliance, marketing, operations, and executives. Represent the product line internally and externally, support revenue growth, and help advance Experian’s Ascend platform strategy.

Define and execute the North America B2B email and identity data product strategy and roadmap. Lead product launches, prioritize opportunities using customer and market insights, monitor competition and emerging data use cases, and develop partnerships and integrations. Collaborate with Sales, Marketing, Support, regional and global teams on go-to-market plans and adoption. Manage people, engage senior stakeholders and clients, and represent products through thought leadership.

Leads technical pre-sales activities for enterprise software, including platform demonstrations, solution design, integration discussions, client requirement translation, and formal handoffs to delivery teams. Collaborates with Sales, Product Management, and Client Services; documents workflows, maintains pipeline updates, identifies platform use cases, creates enhancement tickets, and supports acceptance testing.

Designs and evolves enterprise data and AI platform architecture, enabling privacy-preserving cross-border data products, entity resolution, semantic standards, governed discovery, and AI-agent data access. Leads prototyping, reference implementations, technology adoption, and platform architecture decisions across engineering teams. Mentors engineers while applying expertise in distributed systems, cloud infrastructure, data modeling, governance, graph databases, and production operations.

Support enterprise clients through product onboarding, implementation, and ongoing technical assistance. Lead client presentations, troubleshoot production and data-processing issues, manage technical support tickets, and collaborate with Client Services, Sales, and Operations. Develop product expertise and serve as a key client contact through calls and high-touch communication.

Develop fraud detection models and predictive features for account opening, account takeover, and identity risk. Responsibilities include investigating large datasets, identifying fraud patterns, engineering features, training and evaluating machine learning models, writing tested Python and PySpark code, supporting production deployment, monitoring model performance and drift, and presenting analytical recommendations. The role also requires adherence to data privacy, explainability, model validation, documentation, and governance standards.

Build and evaluate machine learning models and features for fraud detection across account opening, account takeover, and identity risk. Analyze complex datasets to identify fraud patterns, develop hypotheses, validate models, and measure technical and business performance. Write tested Python code, support production deployment and monitoring, communicate findings, and follow standards for privacy, explainability, validation, documentation, and governance.

Lead the technical vision and architecture for AWS cloud-native platforms and agentic AI capabilities. Establish standards for distributed systems, DevOps, Kubernetes, GitOps, security, observability, SRE, and data architecture. Govern architecture reviews, technical decisions, infrastructure evolution, and technology evaluations. Create architecture documentation, threat models, runbooks, and reference designs while advising product partners and mentoring senior engineering teams.

Manage and grow a portfolio of Fintech clients while prospecting new accounts and expanding strategic relationships. Advise senior stakeholders on data, analytics, identity, fraud, risk, lending, decisioning, and software solutions. Identify opportunities across customer acquisition, underwriting, portfolio growth, and fraud prevention; align Experian capabilities to client objectives; collaborate internally to deliver integrated solutions and measurable business outcomes. Travel is required, and the role is fully remote.

Lead Experian’s global Digital Intelligence product portfolio, setting strategy and roadmap for device, behavioral, agent, and network-risk capabilities across web, mobile, and APIs. Manage global product leaders, guide fraud and automation detection capabilities, oversee SDK and data product evolution, and partner across engineering, data science, legal, privacy, design, and go-to-market teams. Own adoption, retention, revenue, pricing, packaging, and commercial performance while advancing AI-assisted product development.

Lead Experian Insurance’s cross-channel demand generation strategy, including new channel pilots, performance optimization, budget allocation, forecasting, targeting, experimentation, and conversion improvement. Manage a team and marketing portfolio while partnering with analytics, decision science, product, channel owners, and external partners to scale effective acquisition programs and guide growth investment decisions.

Manage revenue growth and strategic Credit Union client relationships in a named-account environment. Build executive partnerships, identify opportunities for marketing, risk, analytics, fraud, and software solutions, present proposals, negotiate pricing and contracts, develop forecasts, advance pipelines, and ensure solution delivery. The role requires financial services and complex-solution sales experience, knowledge of credit union and banking challenges, and willingness to travel.

Leads architecture for Experian’s AI-native developer experience platform. Defines agentic software delivery, developer portals, governed AI marketplaces, AI governance, knowledge grounding, and secure software supply chain standards. Builds reference implementations and connects CI/CD, Backstage, cloud landing zones, AI tooling, and security controls. Partners across engineering, security, and business units to establish technical direction, resolve cross-functional architecture decisions, and promote scalable platform adoption.

Grow and manage strategic Financial Services advertiser relationships across North America, securing renewals, upsells, cross-sells, and new partnerships. Develop go-to-market strategies, manage a multimillion-dollar pipeline in Salesforce, advise clients on data and marketing solutions, collaborate with Customer Success, and provide market insights to inform product development. The role requires approximately 40% travel.

Lead the architecture and implementation of AWS cloud-native platforms for fraud detection, risk analysis, and digital intelligence. Design scalable, resilient, secure, low-latency REST and event-driven systems using Java, Kubernetes, Kafka, and SQL/NoSQL databases. Set technical strategy and architecture standards, mentor engineers, conduct reviews, and guide multiple teams. Partner with product, data science, security, and business leaders to embed AI and machine learning capabilities, while improving delivery, observability, compliance, and cost efficiency.