Jobs at Experian

Oversee North American operational resilience, business continuity, crisis response, technology recovery, and resilience testing. Advise senior leaders on risks affecting critical services, coordinate regional crisis teams, lead scenario exercises, and guide remediation efforts to improve service restoration and regulatory compliance.

Modernize legacy Windows-based .NET applications into secure, scalable containerized services on AWS EKS. Responsibilities include Kubernetes deployment support, PostgreSQL performance tuning, observability with Dynatrace, Splunk, and CloudWatch, application security remediation, Terraform and Terragrunt infrastructure automation, CI/CD, production deployments, and cross-layer troubleshooting.

The Integration Engineer leads client and internal technical discussions, builds and validates healthcare product integrations including FHIR API connections, troubleshoots software and integration issues, and supports healthcare revenue cycle solutions. The role manages multiple client implementations, collaborates with stakeholders, recommends risk-reduction plans, and maintains client relationships. Experience with healthcare revenue cycle workflows, integration formats, and software implementation is required.

Owns global telephony and contact center architecture, leading the migration from legacy Avaya to cloud-first Teams Calling and NICE platforms. Responsibilities include PSTN, carrier/SBC, routing, numbering, recording, compliance, Salesforce integration, omnichannel capabilities, analytics, automation, and self-service. The role drives regional modernization, resilience, regulatory compliance, roadmap planning, risk management, and executive-level architecture governance.

Own the global video conferencing and collaboration-space architecture across 400+ units. Establish room standards, device configurations, support models, monitoring, and telemetry practices. Lead the FY27 lifecycle refresh program, including prioritization, budget alignment, end-of-life remediation, deployment planning, and site readiness. Partner with facilities, vendors, network teams, and UC engineering to modernize platforms, reduce operational risk, and deliver consistent room experiences.

Own paid acquisition strategy across Google, Meta, YouTube, and other digital channels. Manage media budgets, pacing, forecasting, campaign optimization, creative testing, attribution, experimentation, and performance reporting. Partner with internal teams and agencies on acquisition content and landing experiences, while ensuring compliance with brand, legal, privacy, and financial-services requirements. The role also oversees marketing automation, lead nurturing, and email campaign activities.

Coordinates regulatory inspections, audits, examinations, and information requests; provides compliance guidance; monitors regulatory developments; validates submissions; conducts compliance testing; identifies control gaps; prepares reports; and partners with Risk, Legal, and business teams on remediation, training, and compliance awareness.

Drive BFSI-sector revenue growth through consultative B2B sales of credit risk, fraud prevention, analytics, and decisioning solutions. Responsibilities include developing sales strategies, acquiring clients, managing pipelines and forecasts, engaging senior stakeholders, building tailored proposals, maintaining client relationships, monitoring market trends, and collaborating with internal teams to deliver customer value.

Manage and expand strategic telecommunications enterprise accounts in Spain. Build C-level relationships, develop account plans, identify growth opportunities, and lead complex consultative sales from discovery through contract closure. Position Experian’s data, analytics, fraud prevention, risk, and decisioning solutions while collaborating with internal teams. Maintain forecasts and pipelines, monitor market trends, represent the company at industry events, and achieve revenue targets.

Drive business development and solution sales for Experian’s credit, risk, fraud prevention, analytics, and decisioning products across banking and financial services clients. Build executive relationships, develop strategic sales plans, customize proposals, collaborate with product and implementation teams, monitor BFSI market trends, represent Experian at industry events, and manage CRM forecasts and performance metrics.

Drive B2B sales growth across the BFSI sector by acquiring clients, managing pipelines, selling credit risk, fraud prevention, analytics, and decisioning solutions, and building senior stakeholder relationships. Develop sales strategies, create tailored proposals with internal teams, monitor market trends, represent Experian at industry events, and maintain accurate forecasts and CRM records.

Leads the strategy, engineering, and operations of enterprise data platforms. Oversees modernization, automation, observability, security, reliability, performance, and cost optimization across AWS EMR, Hadoop, Spark, NoSQL, and cloud environments. Provides hands-on technical leadership, establishes engineering and governance standards, partners with architecture and security teams, and mentors engineering staff. Requires extensive data platform, big data, cloud, DevOps, and engineering leadership experience.

Develop data-driven analytics products using large datasets, Python, SQL, statistics, and machine learning. Responsibilities include exploratory analysis, feature engineering, predictive modeling, validation, benchmarking, automated workflow development, UAT support, productization, documentation, and model governance. The role collaborates with product, technology, and business teams to deliver scalable, interpretable, and reliable decision-support solutions.

Build advanced credit risk models and data-driven solutions for financial services clients. Analyze bureau, alternative, and emerging data to support underwriting, decisioning, acquisition strategies, credit assessment, limit assignment, and portfolio management. Partner with business, technical, and delivery teams to define requirements and deliver client solutions. Apply machine learning, statistical modeling, and large-scale data analysis to generate commercial value and improve portfolio performance.

Develop data-driven risk and analytics products using bureau and financial services data. Responsibilities include exploratory analysis, feature engineering, statistical and machine learning model development, validation, benchmarking, workflow automation, UAT support, productization, documentation, and collaboration with Product, Technology, and business teams. The role requires strong Python and SQL skills, reproducible coding practices, model governance, and the ability to communicate analytical insights to technical and non-technical stakeholders.

Develops commercial bureau-based credit risk models, scorecards, segmentation frameworks, and portfolio analytics for MSME and commercial lenders. Responsibilities include analyzing lending data, engineering features, validating predictive models, assessing portfolio performance, creating scalable Python and SQL datasets, and delivering client-focused analytics and proofs of concept. The role also involves stakeholder collaboration, model governance, documentation, compliance, and supporting productization and pre-sales initiatives.

Owns the strategy, roadmap, and investment priorities for healthcare contract management products, including contract modeling, fee schedules, reimbursement accuracy, underpayment detection, compliance, and analytics. Leads complex engineering initiatives, strategic customer relationships, business cases, discovery, and responsible AI adoption while maintaining expertise in payer contracting, reimbursement methodologies, and healthcare regulations.

Develop and operate Salesforce Data Cloud, Marketing Cloud Engagement, and Marketing Cloud Next solutions. Build data streams, identity and consent models, audience segments, journeys, automations, personalized content, and integrations. Support platform administration, deliverability, governance, troubleshooting, and modernization while collaborating with marketing, analytics, compliance, security, and technology teams in an Agile environment.

Leads the architecture, development, industrialization, deployment, and operation of production machine learning attributes and services across international markets. Designs scalable data, ML, cloud, and platform architectures; builds reusable frameworks, APIs, pipelines, and automation; manages data onboarding and quality; validates performance and reliability; and supports MLOps and production engineering. Provides hands-on technical leadership through architecture and code reviews, complex implementations, mentoring, engineering standards, and adoption support across distributed analytics and engineering teams.

Provides strategic legal advice to senior management on international commercial, contract, data protection, compliance, risk, and regulatory matters. Leads complex contract negotiations, disputes, GDPR and cross-border data projects, due diligence, M&A or restructuring initiatives, and supplier-related legal work. Coordinates international legal matters, manages external counsel, develops training, and mentors junior legal staff. Requires German legal qualification, more than seven years of experience, multinational legal expertise, and fluency in German and English.