Jobs at Experian

Manage a portfolio of Fintech clients as a strategic advisor, align Experian data, analytics, identity, fraud, and decisioning solutions to client objectives, identify opportunities to improve growth, risk management, fraud prevention, customer acquisition, and operations, drive revenue growth, and deliver measurable client outcomes.

Lead end-to-end strategic sourcing for indirect technology categories (XaaS, cloud, AI). Manage RFXs, evaluate proposals, negotiate commercial and legal terms, partner with IT/Legal/Finance, drive supplier performance, cost optimization, and ensure procurement compliance and governance.

Provide high-level administrative support to three Engineering VP/SVPs: manage complex calendars and travel, draft executive communications, coordinate events and meetings, take minutes and track action items, run leadership offsites and engagement programs, leverage AI tools to improve efficiency, and maintain confidentiality while improving leadership effectiveness.

Lead cross-channel demand generation for Experian Insurance: pilot and scale new acquisition channels, standardize execution, set budget and pacing, partner with analytics and product for targeting, forecasting, experimentation, and optimization to drive measurable growth. Manage direct reports and vendor relationships.

Senior FP&A leader partnering with ECS finance and leadership to lead planning, forecasting, and performance management for a consumer finance technology portfolio. Deliver executive-ready analyses, financial modeling, scenario planning, dashboards and KPIs, and support strategic investment decisions. Build and develop an FP&A team, drive process improvements, and align global finance partners across operating units to strengthen financial discipline and data-driven decision making.

The role involves delivering analytical projects in consumer credit, building machine learning models, and collaborating with clients to implement data-driven strategies.

As a Senior Software Engineer, you will develop and support cloud-based services, contribute to design discussions, write high-quality code, and ensure system performance and reliability while supporting production systems and collaborating across teams.

Lead global revenue operations and commercial systems for Employer Services. Own Salesforce platform and revenue tech stack, standardize quote-to-revenue, govern forecasting and pipeline, align revenue integrity with Finance, and drive transformation, automation, and adoption across cross-functional teams.

Transform Operations by advocating automation and AI, designing workflows, streamlining processes, and managing implementation strategies in collaboration with leadership.

Provide payroll tax consulting to clients: manage client projects, analyze payroll data and tax forms, identify refunds and savings, support M&A and audits, engage tax authorities, improve processes, and assist leadership with research and presentations.

Sell Experian data, analytics, software, and fraud/risk solutions to credit unions. Manage named accounts, build executive relationships, identify growth opportunities, forecast pipeline, negotiate contracts, and support solution delivery while traveling up to 50%.

Prospect and qualify enterprise financial services accounts, set meetings for Account Executives, manage pipeline and contact lists, perform multi-channel outreach, maintain product knowledge, and collaborate with sales and marketing to drive growth and learning.

Lead architecture and delivery of high-throughput transactional services and agentic AI workflows. Build production Python and Go microservices on AWS, design observability and CI/CD, resolve distributed-system performance issues, run technical reviews and ADRs, mentor engineers, and contribute to on-call and incident response.

Lead technical vision and architecture for cloud-native platform and agentic AI capabilities on AWS. Define reusable AI/agent patterns, govern DevOps/GitOps, design platform infrastructure (EKS, service mesh, DBs), set SRE/observability standards, conduct architecture reviews, produce ADRs/diagrams/threat models, mentor senior engineers, and advise product teams.

Lead a team that turns advanced analytics and internal data into market-facing thought leadership. Use Python and SQL to analyze data, validate models, and produce executive-ready content (reports, white papers, decks). Support strategic sales with data-driven insights, collaborate with Data Science, monitor industry and regulatory trends, and present findings to senior clients and industry audiences.

Manage and expand Experian relationships within Publicis Groupe agencies. Use hands-on programmatic DSP experience to sell data-driven marketing solutions, advise on audience strategy and activation, manage pipeline and forecasts, collaborate with internal teams, and drive upsell and cross-sell to grow revenue.

Build and maintain scalable Python-based data pipelines and backend services for analytics and ML workflows. Design software systems, support analytics/model training and deployment platforms, implement CI/CD and IaC, manage AWS/on-prem environments, monitor and improve pipeline reliability, and evaluate new AI technologies to increase platform efficiency.

Client-facing Solutions Engineer designing and delivering API-first, microservices-based, cloud-native solutions using AI-enabled workflows and the Bureau Composer platform. Lead discovery, technical design, implementations, demos, and cross-team coordination while ensuring security, compliance, and data governance for financial services decisioning, fraud, and identity use cases.

Sell programmatic data and Private Marketplace (PMP) solutions to brands and agencies. Build pipeline, negotiate and close deals, upsell/cross-sell, manage strategic accounts, and collaborate with cross-functional teams to deliver tailored data-driven media solutions. Maintain Salesforce records and stay current on programmatic trends.

Lead and manage Level 1-3 Service Desk analysts supporting external clients, oversee daily operations, escalations, SLAs, and reporting. Improve service management, automation, and first-call resolution; partner with Engineering and Incident/Problem/Change Management to resolve production issues. Provide hands-on technical leadership across Splunk, Datadog, MuleSoft, SQL, and ServiceNow while managing client communications and operational metrics.