Experian

• Collaborate with other teams to understand and articulate Cyber Risks in a threat-informed manner.
• Participate in performing physical exploitation, network exploitation and social engineering assessments against authorized targets.
• Develop scripts, tools and methodologies to increase Offensive Security's capabilities and educate other team members around automation and AI.

• Extract insights from data and deliver a ML project from beginning to end.
• Develop machine learning algorithms with huge data sets to solve challenging business questions.
• Discover new data sources and create new input features for ML models.

• Consult with clients on best practices to achieve implementation milestones.
• Understand client and internal requirements to manage the implementation of behavioral solutions.
• Oversee project management and technical delivery of embedded solutions.

• Develop go-to-market plans for fraud solutions, ensuring understanding of our goals and market trends.
• Translate data and customer insights into clear stories for our teams, partners, and buyer personas.
• Conduct competitive research and win/loss analysis to inform product positioning and improve deal success rates.

• Be a technical subject matter expert and capability owner for PAM platforms i.e. CyberArk.
• Design, implement, and improve PAM architecture and policies across hybrid environments.
• Implement and improve secret management solutions (CyberArk Conjur, CyberArk Secrets Hub, cloud-native secret stores).

• Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
• Apply statistical techniques to uncover insights and improve predictiveness.
• Monitor attribute performance for stability, compliance, and accuracy.

• Troubleshoot product and technical issues
• Communicate with clients by phone and email
• Document solutions in reusable articles to support future issue resolution

• Develop security controls for multi-cloud environments (AWS, Azure, GCP) with special focus on PAM capabilities.
• Define secure configurations for cloud-native services around human and non-human identities.
• Collaborate with enterprise and business Cloud SMEs to align security requirements with business and technology roadmaps.

• Use SQL to explore data, validate hypotheses, and support analytical workflows
• Champion continued incremental innovation and improvement to our product based on the product vision and roadmap.
• Maintain and prioritize the product backlog based on business and customer value.

• Take ownership of end-to-end client analytical projects, from initial solution design and data integrity evaluation through to final documentation and implementation.
• Serve as an internal subject matter expert for complex analytics; be hands-on, using advanced Python and Spark to build scalable, production-ready solutions.
• Act as a key consultant for clients and internal partners; perform advanced analytics at explaining complex methodologies and results to both technical and non-technical audiences.

• Collaborate with others on this multi-year initiative to build a new business.
• Provide clients with payroll tax consulting and guidance.
• Help clients improve payroll tax processes.

• Lead a high-performing engineering team, managing hiring, performance, and career growth while fostering an inclusive culture.
• Build the security modular platform, driving architecture, design, and implementation with emphasis on scalability, reliability, and low latency.
• Execute technical strategy, partnering with architects and principal engineers to shape long-term vision, modernization, AI integration, and security best practices.

• Lead a team of identity management engineers, promoting technical best practices, collaboration, and continuous improvement.
• Partner with IAM architects to define technical roadmaps, engineering standards and integration design patterns.
• Oversee development and deployment of new application integrations with the IGA platform.

• Develop and implement successful sales practices to foster revenue expansion.
• Build and maintain strong producer relationships through product knowledge and customer service.
• Manage a high-volume quote/sales activity territory focused on mid-sized/large employers.

• Proactively manage complex calendars, travel, and meeting logistics.
• Create, edit, and refine high-quality PowerPoint presentations and executive communications.
• Track key deliverables, deadlines, and follow-ups.

• Develop scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services
• Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases
• Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability

• Serve as a strategic partner to clients, driving adoption and return on investment.
• Manage a portfolio of clients with a focus on Payer Contracts, Claims and Claim Scrubber products.
• Evaluate client use of product suite, recommend best practices and configuration improvements.

• Monitor the daily operations of the team, being the primary liaison between analysts and leadership
• Oversee response activities for security events and alerts associated with cyber threats, intrusions, or compromises
• Be a mentor to Cyber Defense Analysts, providing feedback on the quality of work to analyst(s) and management

• Oversee multiple products including Work Opportunity Tax Credits and tax consulting commercialization.
• Focus on strategy, product alignment, market intelligence, insight, regulatory considerations, and cross-functional consistency.
• Drive both internal and external evangelism, partnerships, and ecosystem expansion opportunities, including M&A exploration.

• Conduct prospect-facing technical analysis to compute and present Return on investment for all sales engagements.
• Perform technical analysis for existing clients and present results to optimize performance and support expansion opportunities.
• Bridge the gap between revenue and technical departments to promote revenue generation and retention.

• Provide guidance to teams on the application of compliance requirements.
• Maintain subject matter expertise on U.S. federal and state consumer protection and privacy laws and regulations.
• Conduct and document assessments of compliance and privacy risks and controls for targeted processes, products and regulatory changes.

• Design and implement security solutions across enterprise platforms and cloud environments.
• Perform threat modeling and security risk assessments for new features and platforms.
• Partner with product teams to embed security requirements early in the SDLC.

• Define the enterprise innovation strategy, with Experian Health's growth priorities and long-term vision
• Lead discovery, incubation, and validation of new product concepts, platforms, and partnerships
• Foster a culture of innovation, learning, and calculated risk-taking across the organization

• Lead corporate security for North America, focusing on physical risk management and assurance for Experian staff and assets.
• Be the regional subject matter expert and ensure agreement on global security programs while supporting compliance, risk mitigation, and incident response.
• Oversee regional corporate security programs, including facility risk assessments, workplace violence response, event security, and insider threat detection.

• Assist Revenue Cycle Consultant and Technical Consultant teams in the implementation of Experian's Claim Source revenue cycle management system
• Review internal process, recommend and develop changes to improve systems efficiency, automation, and effectiveness
• Communicate status with team members, end-users and clients within client expectations including participating in regular client calls

• Collaborate with team members to gather and document requirements.
• Analyze existing processes and identify opportunities for improvement.
• Develop functional specifications and user stories as well as, support testing activities, including creating test cases and validating results.

• Be the primary insights liaison for the sales organization, partnering with new sales and account development teams to understand clients goals.
• Build and deliver executive-level presentations that translate complex data into clear, applicable strategies.
• Facilitate workshops and strategy sessions with internal and client partners to align insights with our goals.

• Identify suspicious patterns, anomalies and high-risk transactions.
• Gather transaction data, activity logs, and other relevant information from internal and external sources to support decision-making.
• Identify gaps in fraud detection and suggest process and system improvement.

• Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud.
• Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability.
• Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data.

• Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
• Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
• Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.

• Be the day‑to‑day analytics partner for clients on credit strategy, risk optimization, and portfolio performance.
• Translate client goals into clear analytical questions, project plans, and structured workflows.
• Use Python and SQL to explore data, validate hypotheses, and support analytical workflows developed by Data Science teams.

• Develop, document, and maintain standardized product management processes, frameworks, and tools.
• Support the product planning and prioritization process, ensuring inputs, artifacts, and decision criteria across teams.
• Manage key product management tools and develop standardized dashboards and measurements for product performance.

Troubleshoot complex product and technical issues to determine severity and scope and respond accordingly. Manage issues and questions escalated from Customer Support, Account Management, and Implementation teams. Educate and empower customers to maximize use of products, tools, and services.

Serve as a technical expert for implementing complex healthcare software solutions. Advise clients and internal stakeholders on Healthcare Revenue Cycle and Experian Health solutions. Configure and implement Experian Health software solutions for clients, focusing on front-end patient access and back-end revenue cycle management.

• Support integrated marketing programs, events, and special projects with planning, logistics, and execution.
• Coordinate and manage vertical market campaigns and thought leadership initiatives, ensuring deliverables are completed.
• Assist with reporting and process management, including campaign codes, SOPs, and repository updates (SharePoint, Seismic).

• Act as an executive partner, driving alignment and execution on behalf of the President.
• Lead important projects to completion, bridging gaps between strategy and execution.
• Provide analysis and context to help executives make faster, better-informed decisions.

Lead the delivery and growth of our customer experience. Build the end-to-end product vision and roadmap for the whole customer experience. Partner with Marketing and Growth teams to develop go-to-market plans that attract users.

• Lead design activities and participate in building the foundation for API management.
• Define solutions using Service Oriented Architecture (SOA) patterns.
• Develop and implement enterprise-class security systems for production environments.