Experian

Account Manager

• Provide financial leadership for more than $30M in global product partnership revenue
• Provide financial guidance to Partnerships leaders on revenue, margin, investment, partner economics, and commercial priorities
• Oversee financial performance across regions
• Identify opportunities to improve partnership margins, commercial terms, and financial returns
• Evaluate partner performance, contractual commitments, risks, and financial value, and recommend actions
• Build forecasting, reporting, and accountability processes connecting channel partnership revenue with regional plans and targets
• Partner with regional and Group FP&A teams to align forecasts and improve visibility into partner-driven revenue
• Represent Finance on new channel, product, AI, and technology partnership deals
• Evaluate financial and business cases for partnership deals
• Develop financial models and coordinate GSPC/SPC documentation and financial inputs for partnership and investment decisions
• Report to the Chief Financial Officer, Experian Software Solutions

Finance Business Partner – Partnerships

Compliance

• Provide internal partners with support on regulatory compliance requirements and consumer credit services issues
• Perform gap assessments of business unit and functional-area procedural documents against Global Policies
• Work with business lines on action plans addressing control breakdowns and track timely remediation of regulatory issues and process improvements
• Collaborate with Legal, Information Security, Governmental Affairs, and business teams to ensure compliance with laws, regulations, and policies
• Maintain understanding of business-line operating processes, strategies, products, and services
• Participate as a subject-matter expert in regulatory exams by collecting and analyzing requested data, documents, and information
• Work with the Regulatory Exam Manager on ad hoc regulatory requests within specified SLAs
• Help prepare and present materials for regulatory meetings
• Build productive relationships and use persuasion and influence to achieve targeted results
• Report to the Compliance Director

Expert Compliance Risk Advisor

Software Engineer

• Develops and enhances the unified SDK’s web components
• Ensures the secure capture, validation, and transmission of data collected from images, documents, and sensors
• Implements advanced protection mechanisms against digital fraud, content injection, session tampering, malicious automation, and untrusted environments
• Develops and maintains critical web components using JavaScript and TypeScript
• Creates solutions for detecting headless browsers, virtualized environments, emulators, and digital fraud tools
• Ensures secure communication between web components, native SDKs, and backend services
• Implements integrity controls and validation mechanisms for captured data
• Develops telemetry, metrics, logs, and observability mechanisms
• Performs performance analysis and optimization across different browsers and devices
• Participates in defining architecture, development standards, and client-side security strategies
• Conducts code reviews and provides technical support to development teams
• Investigates vulnerabilities and contributes to the evolution of fraud and abuse prevention mechanisms
• Collaborates with Architecture, Information Security, Platform Engineering, and Product teams

Software Development Specialist II

Sales Engineer

• Work with Sales, Client Services, and Product Management during acquisition of new customers
• Lead detailed conversations on product functionality and integration
• Develop conceptual models, solution proposals, and documentation for platform solutions
• Support customers' transition from sales through implementation
• Become a technical expert in AtData platform capabilities and technologies
• Participate in sales calls and client visits
• Provide platform demonstrations and translate client needs into platform functionality
• Design platform solutions for prospective clients
• Set expectations regarding platform functionality and roadmap
• Lead integration discussions and conduct formal handoffs to the Client Delivery team
• Maintain and distribute weekly snapshots of prospects in the sales pipeline
• Participate in pipeline review meetings
• Update the corporate knowledge base with client information and workflow
• Identify new platform use cases and collaborate cross-departmentally to assess feasibility and importance
• Create development tickets for product enhancements and bug fixes
• Participate in acceptance testing for development tickets
• Report to the Director of Client Services

Senior Sales Engineer

Director

• Provide strategic and operational leadership for Experian Health's Learning & Development function serving external clients
• Own the vision, roadmap, and execution of a scalable client education program
• Lead instructor-led training, on-demand eLearning, video tutorials, learning labs, and the client Learning Portal
• Build and lead a team of instructional designers and client educators
• Champion innovation, including responsible use of AI in learning content
• Improve client adoption, self-service use, product proficiency, and customer satisfaction
• Lead the multi-year roadmap for Client Education across Experian Health products
• Set standards for instructional quality, accessibility, and consistency across curricula and client-facing courses
• Provide capacity, prioritization, and risk insights to leadership
• Guide development and refresh of eLearning and training materials
• Establish scalable authoring workflows, templates, and governance
• Administer the client Learning Portal (LMS), including learning plans, enrollment, and reporting
• Apply learning-effectiveness measures and client feedback to improve curricula and delivery
• Guide change management activities related to product releases, workflow changes, and client adoption
• Develop product adoption strategies from implementation through advanced utilization and optimization

Senior Director, Client Education – Healthcare SaaS

Product Manager

• Lead product strategy and execution for North America B2B cashflow capabilities
• Develop and launch products using market, customer, and data insights
• Define and execute the North America B2B cashflow product strategy and roadmap
• Lead new product launches using market intelligence, customer feedback, and opportunity size
• Identify needs and prioritize product opportunities using customer and stakeholder insights
• Track the competitive landscape, evolving customer needs, and emerging data use cases, including identity data
• Partner with Sales and other teams on go-to-market plans, market feedback, and product adoption
• Identify data, partner, and integration opportunities that expand product capabilities and revenue
• Represent the product with clients and external audiences and contribute product thought leadership
• Collaborate across regional and global teams, business units, and partners to grow and protect the business
• Report to the SVP of Product Management

Director, Product Management

Data Engineer

• Develop privacy-preserving mechanisms, derived signals, and shared semantics for cross-border data products
• Build cross-border entity resolution as a foundational capability
• Collaborate with data science teams on matching approaches and match quality
• Build semantic and ontology layers that make data consumable by AI agents across regions
• Implement governed discovery and compliant access paths
• Guide technology adoption through reference implementations and reusable engineering patterns
• Lead prototyping and R&D efforts with product and engineering teams
• Mentor engineers in fundamentals thinking, system design, and product awareness
• Report to the Sr. Director of Platform Engineering as an individual contributor

Staff Architect – Data Platform

Business Analyst

• Partner with Client Services, Sales, and Operations to support clients throughout onboarding
• Guide clients through the onboarding process and provide integration knowledge and resources
• Develop expertise in product offerings
• Use technical knowledge to support implementation and provide ongoing technical assistance
• Serve as an important client contact through calls, presentations, and high-touch email communication
• Troubleshoot production, data, and processing issues independently while collaborating across teams
• Prioritize and respond to technical support tickets through the ticketing system and ensure resolution
• Report to the Director and Client Services

Client Solutions Analyst

Full-stack Engineer

• Serve as the squad’s technical reference and the point person for demand flow, conducting technical triage, unblocking the team, and defining standards and quality criteria
• Ensure technical consistency, quality, security, and maintainability across deliverables
• Foster the team’s technical autonomy through documentation, delegation, and decision-making criteria
• Ensure local decisions align with the architecture and platform
• Provide the Tech Manager and PM with early visibility into technical risks and options
• Lead AI adoption within the squad by applying AI-assisted engineering techniques and enabling the team
• Drive service observability and monitoring, ensuring actionable logs, metrics, traces, and alerts
• Lead technical discussions, guide implementations, and raise engineering standards
• Review pull requests with a focus on risk, quality, and maintainability
• Identify technical gaps and lead improvement plans through mentoring, pairing, and ongoing learning practices
• Lead postmortems and preventive action plans
• Connect technical needs with Product, Infrastructure, SRE, Data, and Architecture teams
• Align risks, technical priorities, and team development with the Tech Manager and PM
• Discuss decisions with system-wide impact with the Architecture team
• Maintain consistency of standards, integration, and reuse with other Tech Leads
• Participate in ceremonies, support decision-making, and resolve conflicts
• Reduce deployment incidents, rework, rollbacks, and escaped bugs
• Improve technical health, observability, adherence to platform standards, and AI-enabled productivity

Lead Specialist

Risk

• Investigate large datasets through exploratory analysis and fraud label development
• Identify fraud patterns, attack methods, and behavioral signals
• Translate fraud and risk problems into hypotheses, analytical plans, model requirements, and measurable success criteria
• Develop machine learning models for account opening, account takeover, and identity risk fraud detection
• Evaluate models using ROC/AUC/KS/Gini, precision/recall, fraud capture rate, false-positive rate, customer friction, and fraud losses prevented
• Develop and validate predictive features using identity, transactional, consumer credit history, device, behavioral, temporal, velocity, network, and third-party data
• Write clean, efficient, well-tested Python and PySpark code
• Collaborate with teams to deploy models and features into batch, retro, or real-time decisioning environments
• Monitor feature quality, model performance, population changes, and fraud-pattern drift
• Design and present analyses covering model behavior, tradeoffs, risks, and recommendations
• Follow standards for data privacy, model documentation, explainability, validation, and governance
• Report to the Senior Manager of Fraud Analytics

Expert Data Modeler, Fraud Risk Detection

• Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals
• Translate fraud questions into testable hypotheses with senior data scientists
• Help build machine learning models for fraud detection across account opening, account takeover, and identity risk
• Evaluate models using technical and business metrics including precision, recall, fraud capture rate, false-positive rate, and customer friction
• Develop and validate features using identity, transactional, behavioral, and other data sources
• Write clean, well-tested code and work with engineering to bring models and features into production
• Partner with the score monitoring team on model and feature monitoring
• Support research on related client questions
• Prepare analyses and communicate findings to technical and nontechnical audiences
• Report to the Sr. Manager of Fraud Analytics

Senior Data Modeler, Fraud Risk Detection

Customer Support

• Handle customer interactions via phone, email, live chat, and other communication channels
• Provide an excellent customer experience with polish and professionalism
• Answer questions about fitment, application, selection, and installation of motorcycle parts and accessories
• Advise customers on fitment and use of safety gear, including helmets, jackets, pants, riding armor, boots, and gloves
• Help customers place orders
• Continually learn about motorcycle parts and gear, riding, racing, dirt bike and off-road riding, adventure/touring riding, supercross/MX, and bike modification
• Collaborate with varied teams case by case to overdeliver for customers
• Support customers contacting RevZilla, Cycle Gear, and J&P Cycles, with a focus on J&P Cycles
• Accept coaching and adjust trajectory as needed

V-Twin Motorcycle Parts and Gear Support Representative

Technician

• Handle customer interactions via phone, email, live chat, and other communication channels
• Assist with fitment, application, selection, and installation questions for motorcycle parts and accessories
• Advise customers on fitment and use of safety gear, including helmets, jackets, pants, riding armor, boots, and gloves
• Help customers place orders and provide a complete customer experience
• Continually learn about motorcycle parts, gear, riding, racing, dirt bike and off-road riding, adventure/touring riding, supercross/MX, and bike modification
• Collaborate with varied teams case by case to exceed customer expectations
• Provide technical support for motorcycle-related inquiries while driving sales and ensuring a great customer experience

V-Twin Motorcycle Technician

AI Engineer

• Lead the technical vision and architectural strategy for Experian’s cloud-native platform and agentic AI capabilities
• Manage and evolve end-to-end architectural blueprints for AWS cloud-native applications across compute, data, networking, security, and observability
• Define and promote agentic AI architecture patterns, standards, and reusable reference architectures
• Establish and govern DevOps standards, including CI/CD, GitOps, deployment strategies, environment parity, and release engineering
• Design and oversee platform infrastructure including ECS, EKS, service mesh, API gateways, secrets management, IAM/RBAC, data stores, and multi-account/multi-region AWS topology
• Lead architecture reviews and make binding technical decisions for high-risk changes
• Define SLOs, SLIs, error budgets, logging, distributed tracing, capacity planning, and incident response frameworks
• Introduce new technologies through proof-of-concept and risk assessment processes
• Build internal communities of practice around architectural patterns
• Produce ADRs, system context diagrams, threat models, and runbooks as sources of truth
• Advise Product and Partners by translating architectural constraints and capabilities into strategic options
• Mentor staff and senior engineers and conduct design reviews

Staff AI Architect

• Provide strategic and operational leadership for Experian Health's Learning & Development function serving external clients
• Own the vision, roadmap, and execution of a scalable client education program
• Lead instructor-led training, on-demand eLearning, video tutorials, learning labs, and the client Learning Portal
• Build and lead a team of instructional designers and client educators
• Champion innovation, including responsible use of AI in learning content
• Improve client adoption, self-service use, product proficiency, and customer satisfaction through measurable education programs
• Lead the multi-year Client Education strategy across Experian Health products
• Design and deliver blended learning solutions for implementation and ongoing adoption
• Set standards for instructional quality, accessibility, and consistency across curricula, job aids, assessments, and course catalog
• Provide capacity, prioritization, and risk insights to leadership for investment and resourcing decisions
• Guide development and refresh of eLearning and training materials amid product and system updates
• Establish authoring workflows, templates, and governance to reduce manual effort and shorten update cycles
• Administer the client Learning Portal (LMS), including learning plans, enrollment, and reporting
• Apply learning-effectiveness measures and client feedback to improve curricula and delivery
• Guide change management activities related to product releases, workflow changes, and client adoption plans
• Develop product adoption strategies from initial implementation through advanced utilization and optimization of Experian Health solutions