Experian

Account Manager

• Develop, manage, and optimize data relationships that support and enhance Experian's Financial Services and Data (FSD) business.
• Navigate the dynamic financial data ecosystem to understand the players, their relative strengths and capabilities, and assess the right partners for Experian.
• Manage vendor relationships and ensure compliance with regulatory standards, while optimizing spend to drive the highest data ROI.
• Collaborate with internal organizations, including data management, data governance, product management, sales, finance, procurement, and legal.
• Report to the SVP, Enterprise Data Strategy.

Senior Director, Data Acquisition and Partnerships

Account Executive

• Lead sales opportunities through professional sales techniques and long-term customer engagement
• Exceed set sales quotas
• Lead any assigned RFP efforts by collaborating with other teams to deliver the best possible response
• Provide updates on pipelines and forecasts
• Keep up to date with competition, industry trends, and products
• Participate in sales meetings, product seminars and trade shows
• Prepare written presentations, reports, and price quotations
• Conduct contract negotiations
• Provide advice about products and services to customers and external partners
• Assess client needs to recommend high value solutions linked to goals, enhancing client loyalty
• Provide expertise by bringing new ideas and technologies to assist clients in achieving their goals

Account Executive – Financial Services Software Specialist

• Manage strategic relationships across a portfolio of indirect channel platforms
• Develop account plans focused on revenue growth, retention, and share expansion across the automotive ecosystem
• Be the primary contact for executive stakeholders and key decision-makers
• Identify and lead new revenue opportunities across credit, data, and decisioning solutions
• Partner with internal sales, product, and marketing teams to align on go-to-market strategies
• Ensure successful integration and adoption of Experian solutions within partner platforms
• Collaborate with technical and operational teams to support implementation and ongoing performance
• Monitor partner performance, pipeline, and KPIs to drive accountability and results

Client Executive, Automotive Platforms

• Fornecimento de suporte personalizado aos clientes existentes.
• Garantindo que suas necessidades sejam atendidas de maneira eficaz.
• Gerenciamento do processo de renovação de contratos com clientes.
• Identificação proativa de oportunidades de up-sell e cross-sell.
• Busca ativa de novos clientes, compreendendo suas necessidades e apresentando soluções customizadas.
• Comunicação constante com as áreas internas.

Executivo Comercial Junior

DevOps Engineer

• Design, deploy, and support AWS-based cloud platforms using best practices for high availability, fault tolerance, and security
• Build and maintain Infrastructure as Code using tools such as Terraform or CloudFormation
• Continuously optimize platform performance, scalability, and cost efficiency
• Improve resilience and reliability across distributed systems
• Design and maintain modern CI/CD pipelines using tools such as GitHub, Harness, CodePipeline, CodeBuild, and CodeDeploy
• Drive automation of infrastructure provisioning and application deployments
• Champion the adoption of AI-powered tooling to enhance: Pipeline optimization
• Implement and improve monitoring, alerting, and logging solutions
• Perform advanced troubleshooting across cloud and production environments
• Lead technical initiatives from design through implementation and operational support
• Promote DevOps best practices and a culture of continuous improvement
• Partner cross-functionally with Engineering, Security, and Data teams

Senior DevOps Engineer

Machine Learning Engineer

• Support the development, training, and evaluation of ML/AI models using Python and industry-standard frameworks
• Apply supervised learning techniques such as Logistic Regression, Gradient Boosting Machines (GBM), and Random Forests to solve classification and regression problems
• Explore and implement Generative AI models (e.g., transformers, diffusion models) for use cases such as text generation, summarization, or synthetic data creation
• Analyze structured and unstructured datasets using pandas, NumPy, and matplotlib/seaborn for data wrangling and visualization
• Use scikit-learn, XGBoost, and TensorFlow/PyTorch to build and validate predictive models
• Contribute to software development projects using Python, Java, or Kotlin
• Present findings, model performance, and project outcomes to teams
• Participate in code reviews, team meetings, and brainstorming sessions to support collaborative innovation

ML Engineer – Summer Intern, Paid

Data Scientist

• Define and implement the Analytics strategy
• Lead and inspire a team of data professionals
• Implement models and ML/AI
• Steward of data as a strategic business asset
• Identify trends and evolving user behavior
• Oversee the development of the requirements, principles, models and designs
• Evaluate emerging trends
• Partner consultatively with leaders in product management, sales, marketing, technology, and delivery
• Conduct research and case studies on our competitors’ analytics

Senior Vice President, Data Science & Analytics

Data Engineer

• Design, implement, and evolve a petabyte-scale AWS data platform
• Build and optimize scalable data pipelines using Scala, Spark, and cloud-native services
• Serve as a technical lead, mentoring engineers and promoting best practices
• Contribute to architectural and design decisions
• Plan and deliver complex technical initiatives
• Ensure operational readiness by following coding standards
• Explore and adopt modern technologies

Senior Data Engineer

Insurance

• Engage with customers and guide them through the insurance comparison and switching process
• Analyze customer insurance needs using a consultative and empathetic sales approach
• Identify up-sell and cross-sell opportunities through identification of gaps in coverage
• Exceed monthly sales targets while maintaining accuracy and integrity of the products sold

Insurance Sales Agent

Support Engineer

• Research, and diagnose complex software issues raised by clients/members
• Develop, and test SQL queries to aid in the investigation and analysis of issues
• Examine error logs and database content to determine the cause of a problem
• Document and implement workaround solutions wherever possible
• Document steps to reproduce for resolution with internal and external resources
• Document processes procedures, and technical instructions for future reference and use by support teams
• Create/manage production/staging support tickets

Client Technical Analyst – Expert

• Communication is the key to our success.
• You grasp concepts quickly and know how to make the complex easy to understand.
• You can effortlessly share your knowledge of the industry and how data, software, and analytics can transform your customer's business.
• You collaborate naturally with members across different teams balancing priorities.
• You excel at bringing the right people to the table, solving issues and identifying opportunities.
• You understand your customer by seeing your world through their perspective, speaking their language, and expressing the voice of your customer to improve Experian's solutions.
• You have the experience in sales such as developing forecasts, advancing a pipeline, and ensuring delivery of solutions.
• You achieve results and identify new ways to grow our business and expand current partnerships.
• You challenge yourself with different opportunities to develop your skills.
• You prioritize accountability, building trust with your teammates and customers.
• You will need to reside in the Southeast US (GA, FL, NC, SC, or VA).

Client Executive, Bank Focus

Product Manager

• Reporting to the Director of Product Management, the Senior Product Manager & Product Owner is the owner of vision, strategy, and outcomes for Experian Health's Data Platform Solutions portfolio.
• You will set long‑term product direction while maintaining hands‑on ownership of delivery for critical data platform capabilities.
• You will blend end‑to‑end product leadership—from market discovery and portfolio strategy through delivery, launch, and value realization—with deep cross‑functional partnership across engineering, architecture, compliance, legal, and go‑to‑market teams.
• You will guide the creation of scalable, compliant, and market‑differentiated data‑as‑a‑product capabilities that power Experian Health's ecosystem and ensure sustainable growth.

Senior Product Manager – Healthcare Technology

Software Engineer

• Desenvolver e manter aplicações robustas em C/C++ para terminais POS.
• Implementar soluções de captura de cartões conforme o padrão EMV.
• Atuar com plataformas embarcadas baseadas em Linux, incluindo dispositivos PAX, Ingenico, Gertec e Verifone.
• Realizar análise de logs, troubleshooting e otimização de desempenho.
• Apoiar tecnicamente o time de desenvolvimento e participar de decisões arquiteturais.

Analista de Desenvolvimento de Software Sênior

Director

• Drive New Product Innovation.
• Identify and develop new product concepts that address unmet market needs.
• Translate client challenges into scalable, repeatable solutions.
• Build business cases including market sizing (TAM), revenue potential, and investment requirements.
• Define pricing and packaging strategies aligned to customer value.
• Engage directly with advertisers, brands, agencies, and partners to understand their needs.
• Apply structured thinking (e.g., Jobs-to-Be-Done) to distinguish scalable opportunities from one-off requests.
• Reimagine how Experian's identity, data, and activation capabilities can be combined into differentiated offerings.
• Identify whitespace across industries including Retail, Financial Services, Healthcare, B2B, and Automotive and other emerging verticals.
• Partner with product teams to transition validated concepts into scaled roadmap execution.

Director, Product Strategy – Innovation, Portfolio Expansion

• Support cloud-based data pipelines for ingestion, transformation, and storage.
• Work with AWS services to help maintain and improve data workflows.
• Help with data validation, monitoring, and troubleshooting of analytics pipelines.
• Contribute to data lake solutions used for reporting and analytics.
• Support reporting and visualization tools used by business partners.
• Follow best practices for source control, documentation, and team collaboration.