Jobs at Experian

Support and configure Salesforce, Salesforce CPQ, and DocuSign for North America Sales and Operations. Translate stakeholder requirements into CPQ solutions, build CPQ updates, develop DocuSign templates, troubleshoot user issues, document best practices, and implement basic Salesforce changes with change management.

Lead AWS cloud security for an eCommerce platform: manage VPC/firewalls, IAM/RBAC, SCP guardrails, AMI Factory, serverless and container security, CI/CD pipelines, vulnerability remediation, Linux administration, monitoring/logging, and collaborate cross-functionally to implement automated security controls.

Provide Level 1 technical support for the Developer Portal: handle incidents and service requests, troubleshoot APIs/integrations, monitor alerts, maintain documentation, escalate issues to engineering, support automation programs, and create reports on support trends and performance.

Provide Azure-hosted application support: troubleshoot incidents, analyze logs, monitor releases, manage ServiceNow tickets and SLAs, escalate incidents, maintain Confluence documentation, and participate in on-call rotation.

Senior analyst responsible for Azure-based application production support, incident escalation, root-cause analysis, SLA compliance, release validation, mentoring junior engineers, participating in major incident management, and driving monitoring/automation improvements.

Own product vision, strategy, and roadmap; manage end-to-end lifecycle and backlog; translate market and customer insights into requirements; lead Agile ceremonies; collaborate with engineering and design; prioritise defects, technical debt, and features; support go-to-market and ensure regulatory compliance.

Lead development and operate scalable, high-performance Java microservices on AWS. Design resilient cloud infrastructure (IaC, auto-scaling), improve observability and reliability, troubleshoot production issues, lead architecture and code reviews, mentor engineers, and drive CI/CD and container/orchestration practices.

Drive revenue by identifying, developing, and closing new business opportunities; build account growth plans; expand client relationships via cross-sell and upsell; manage pipeline, forecasting, proposals, and contract negotiations; collaborate with Product, Marketing, Delivery and Client Success to deliver data and analytics solutions; represent Experian at industry events and support client retention through proactive engagement.

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.

Mid-level data scientist focused on evaluating and building Generative AI systems. Work includes problem framing, experiment design, metric definition, error analysis, prototype-to-production AI engineering, cross-functional collaboration, and communicating trade-offs and recommendations.

Design, build, and maintain cloud-native full‑stack applications using Vue.js/Next.js frontends and Python backends. Architect scalable AWS-based systems, implement CI/CD and IaC with Terraform, monitor and optimize performance, and collaborate on architecture and delivery.

Lead end-to-end delivery of large, multi-workstream technology programmes. Own governance, risk, budgets, vendor relationships, architecture alignment, KPIs, and stakeholder communication. Coordinate engineering, infrastructure, data and security teams, manage dependencies, support change management and ensure solutions are scalable, secure, and compliant.

Lead and modernize Experian's PowerUP Operational Excellence program by developing curricula, delivering training, coaching Lean Six Sigma certification candidates, applying GenAI and automation to learning, measuring training effectiveness, and driving enterprise adoption and capability building.

Lead and coordinate cross-functional, cross‑domain programs connecting US product leadership with India delivery teams. Manage dependencies, risks, and trade‑offs, improve delivery processes, mentor local teams, and report outcomes to executives to ensure business impact and scalable delivery.

Lead strategic partnerships across cloud, data collaboration, and AI ecosystems. Own programs end-to-end: identify and prioritize partners, manage cross-functional execution, set objectives and milestones, run partner/internal working sessions, track progress, mitigate risks, and ensure delivery and commercial/technical feasibility.

Manage and grow accounts for Experian's business information and credit risk products. Achieve revenue and new business targets through cross-selling and upselling, maintain account plans and contact strategies, forecast accurately, manage client debt, ensure regulatory compliance, deliver excellent client service, identify and mitigate risks, and support continuous improvement and training.

Design, build, and deploy production-ready machine learning and generative AI solutions on a cloud-native (AWS) platform. Collaborate with data scientists and engineers to prototype, fine-tune, and operationalize models (including LLMs, RAG, prompt engineering). Implement production-quality code, testing, and model evaluation; communicate results to technical and non-technical stakeholders; and contribute to platform and feature enhancements for client-facing products.

Own strategy, roadmap, experiments, and outcomes for New Bets. Design and run experiments, define hypotheses and metrics, iterate from discovery to delivery, ship in-app customer experiences, and coordinate with marketing, design, engineering, compliance, and analytics to scale successful propositions.

Design, deploy, and operate secure, scalable Azure/AWS cloud environments using IaC and DevOps practices. Build CI/CD pipelines, manage networking and security (NSGs, firewalls, Entra ID), optimize costs, maintain platform availability, and produce technical documentation to support reliable financial services applications.

Develop and validate predictive models and credit risk scorecards, analyze large datasets, produce insights, support client discussions, and collaborate on analytics products across the Nordics.