Experian

Android Engineer

• Guide an Android native application development team to greater heights
• Set goals for the Android developers aligning with priorities
• Develop career and professional growth plans for developers and provide mentorship
• Deliver feedback on successes and improvements to developers in regular 1:1s
• Guide the team in projects, helping them deliver on time and with expected quality
• Work with leadership to determine project timing and staffing needs
• Communicate roadblocks quickly and offer solutions to management
• Continue growing the team with a diverse mixture of developers
• Guide improvements on the team, including new technologies, processes, and methodologies
• Present and defend technical and architectural choices
• Guide cross-team engineering efforts such as improving code review system, build pipelines, monitoring

Android Manager

Account Manager

• Guide clients through the assessment, purchase, and implementation of Experian solutions
• Exceed sales performance targets while collaborating with teams to deliver value and outcomes for clients
• Manage daily client interactions, coordinate support, and ensure seamless execution of contracted services
• Focus on guiding growth through multi-year renewals, upselling, and cross-selling within the financial services sector
• Negotiate complex client contracts for both standard and custom Experian products and services

Relationship Manager – Financial Services

Product Manager

• Define and lead the strategy for evaluating, acquiring, and expanding data assets that power Experian's products across acquisition, underwriting, account management, and collections
• Partner with Data Science, Engineering, and Analytics to transform raw data into high‐value, scalable data products used in models, scores, and decisioning solutions
• Build a long‐term data roadmap with care for Experian's product portfolio and growth strategy
• Guide commercialization by allowing product teams to create data‐driven solutions to market
• Identify new opportunities through market, and competitive insights across lending and financial services
• Collaborate across credit risk, fraud, identity, and decisioning teams to ensure data supports diverse use cases and customer segments
• Ensure data products are scalable, governed, compliant, and bring measurable commercial impact

Product Manager Lead, Data – Credit & Alternative Data Strategy

Analyst

• Manage the accurate representation of medical rules/edits from any source
• Build and use all tables and work with clients regarding Technical Support Issues identified
• Review and make recommendations regarding Level I and Senior coding, placement, and logic
• Responsible for assisting with building tables associated with new products or technology
• Responsible for the release and review of content into production for client use
• Make recommendations and assist with data/tables for new products
• Report to the Senior Director, Compliance Data
• Identify necessary and potential changes to existing medical rules through review of current and historically available hardcopy medical policies, transmittals and bulletins
• Complete Clinical Transaction Engine table builds (used by eCN Medical Necessity and ClaimSource) with completion of integrity checks
• Review of edit modification for medical procedures for clear representation varying levels of ICD-10-CM diagnoses
• Assign CPT/HCPS codes for PreCertification product table(s)
• Participate in review of National NCD's for National policies, assigning appropriate diagnosis and procedural codes
• Prepare reports and documents for Director review including coding trends, documentation requirements, related payer changes and concerns
• Complete reviews of medical policies and publications and its integration into the required database
• Identify patterns of improper coding or errors in policies and publications and can resolve and recommend alternate codes
• Maintain all medical rules editorials in the appropriate database using programmatic tools
• Analyze data and draw conclusions
• Responsible for accurate research of resources that update critical information on a scheduled basis

Senior Managed Care Policy Analyst

Account Executive

• Generate revenue growth and manage client relationships in a named account environment
• Understand market potential and improve customer loyalty
• Develop forecasts, advance pipelines, and ensure delivery of solutions
• Foster innovation to up-sell and cross-sell to new and existing clients

Account Executive, Financial Services

• Grow an assigned portfolio of Publicis Groupe agency partnerships (Publicis Canada, Saatchi & Saatchi, Starcom, Publicis UK, Fallon)
• Develop relationships with programmatic planners, traders, activation leads, and investment decision-makers across agencies
• Manage the sales pipeline and forecast by identifying active and future opportunities within Publicis agencies
• Use your hands-on programmatic execution experience to sell solutions credibly, grounded in real-world agency workflows
• Be a strategic advisor to agency partners on audience strategy, programmatic activation, and performance optimization
• Understand and navigate agency buying structures, planning cycles, and approval processes to drive adoption and scale
• Collaborate with internal Experian teams (Product, Client Success, Marketing, Privacy & Compliance, Contracts) to provide tailored solutions
• Partner with Client Success to expand existing relationships through upsell and cross-sell opportunities
• Provide voice-of-the-agency insights internally to inform Experian's product roadmap and go-to-market strategy
• Deliver customer intelligence to sales and marketing teams to strengthen positioning and messaging

Senior Account Executive, Agency Sales

Business Development Rep

• Act as a specialist for Anti-Fraud and Platforms solutions, supporting Sales Executives in strategic negotiations
• Identify and develop cross-sell and expansion opportunities within the SME customer base
• Deliver consultative presentations of solutions, aligning customer needs with the portfolio’s differentiators
• Handle qualified requests received from the commercial team, ensuring speed and quality in responses
• Prospect opportunities within the active customer base
• Build and develop a specialized pipeline for the Anti-Fraud and Platforms BU
• Serve as the link between SMEs and the Product BU, conveying market feedback, insights and opportunities
• Contribute to refining the value proposition, positioning and commercial approach of the solutions

Senior Business Development – Anti-Fraud Solutions & Platforms

Software Engineer

• Develop and maintain efficient, scalable data ingestion pipelines.
• Integrate different data sources (APIs, relational and non-relational databases, message queues).
• Ensure the quality, security and governance of captured data.
• Collaborate with engineering, product and analytics teams to understand requirements and deliver data solutions.
• Monitor and optimize data capture processes (crawlers/scrapers).
• Document processes, workflows and technical decisions.

Mid-level Python Developer

Data Scientist

• Monitoring and analysis of metrics through dashboards
• Extraction and manipulation of data using programming tools such as SQL and Python
• Preparation of analyses to support decision-making
• Management of fraud prevention tools

Junior Data Scientist Analyst

Implementation Specialist

• Lead a client services team promoting a environment focused on accountability, continuous improvement, and professional growth.
• Mentor team members to expand capabilities and prepare high performers for increased responsibility.
• Manage team performance through goal setting, performance evaluation, and ongoing development, ensuring agreement on operational goals and service expectations.
• Oversee delivery of client work from intake through completion, ensuring agreement on scope, timelines, and client expectations.
• Ensure accurate onboarding of client data, integrations, and campaign readiness, and coordinate campaign preparation, audience delivery, and execution support across teams.
• Partner with Sales to support pre-sale activities including requirements gathering, feasibility assessment, and solution agreement.
• Provide consultative input to help shape solutions and align delivery with client needs.
• Oversee delivery of custom and non-standard client solutions and support client onboarding enablement.
• Identify risks, gaps, and dependencies, and lead resolution.
• Ensure documentation, tracking, and visibility of client work in Salesforce and internal systems.
• Establish and uphold standards and procedures for delivery, communication, and client engagement, ensuring and scalable execution.
• Implement process improvements that increase efficiency, scalability, and service quality.
• Support enterprise clients through coordinated, high-touch service.
• Partner across our teams, including marketing execution, data, and delivery partners, to ensure understanding, clear handoffs, and client experience.
• Promote understanding and outcomes across teams without direct authority, exercising prioritization, and escalation.
• Develop and deliver executive-level reporting and presentations that provide visibility into operational performance, risks, and main programs.
• Support delivery efforts that impact client performance, campaign effectiveness, and revenue-generating opportunities.

Marketing Implementation Manager

Platform Engineer

• Lead global teams in design and architecture discussions with partners, developers, and platform engineers
• Implement scalable and secure database architectures for enterprise systems across multi-availability-zone, multi-region cloud-native platforms (AWS, and private cloud)
• Optimize applications and databases to use the full capabilities and cost efficiencies of AWS cloud-native RDS & EMR platforms
• Review, configure, and maintain globally distributed data platforms that are available and scalable
• Collaborate with IT, DevOps, and application teams to ensure seamless integration with existing systems
• Manage automated operations, deployments, patching, upgrades, and capacity planning through CI/CD pipelines and Infrastructure as Code (IaC) tools ensuring secure and scalable database operations across multi-cloud environments
• Monitor, troubleshoot, and fine-tune database performance to ensure scalability across multi-cloud environments
• Implement data protection strategies, including encryption and access controls
• Support audit readiness and security reviews
• Manage regular maintenance windows to ensure system uptime
• Develop enterprise data models and enforce data standards, best practices, and governance frameworks to ensure data integrity and consistency

Senior Data Platform Engineer

Human Resources

• Act as a strategic advisor to the President of Experian Automotive and the Senior Leadership Team
• Align people strategy with organizational growth goals
• Guide scalable talent, performance, culture, and organizational development plans
• Partner with leadership to develop leaders, optimizing organizational design
• Ensure an inclusive culture that enables sustainable growth
• Collaborate with HR and the business to achieve the people strategy
• Lead workforce planning and succession planning efforts
• Design performance management frameworks and coach managers on employee development
• Establish and maintain a fair environment for employee relations

HR Business Partner – Director

• Develop credit risk models using statistical techniques and Machine Learning solutions, with a focus on Python;
• Manipulate, explore, and analyze large datasets using Python;
• Conduct ad hoc studies and statistical analyses to support decision-making;
• Interpret analytical results, assessing their coherence, relevance, and impact on the business;
• Translate complex analyses and technical concepts into clear, concise insights tailored to different audiences, including clients across segments and internal teams.

Modeling Analyst II

• Provide architectural leadership across full-stack systems including web, backend services, APIs, and native mobile (iOS/Android) applications
• Stay close to the code and design—able to dive deep into critical systems
• Improve adoption of AI-first architectures and thoughtful systems
• Partner with Staff/Principal Engineers on scalable platform design
• Build personalized customer experiences powered by data and ML
• Promote experimentation platforms (A/B testing, feature flags)
• Operationalize ML models into production systems
• Promote data-driven decision-making
• Hire engineers and tech lead
• Coach on technical and career growth
• Build a culture of ownership and progress
• Manage performance and growth paths
• Manage delivery across web, backend, and mobile projects
• Align with Product and Design on priorities
• Ensure predictable, high-quality delivery
• Remove blockers and manage risks
• Establish best practices for testing, CI/CD, and observability
• Improve performance, scalability, and cost efficiency - Champion DevOps and operational ownership

Senior Manager, Engineering

Full-stack Engineer

• Own end-to-end architecture for complex, distributed full-stack systems
• Design scalable, resilient, and secure cloud-native systems (AWS preferred)
• Drive modern engineering practices (microservices, event-driven systems)
• Lead technical design reviews and set engineering standards
• Contribute to critical code paths across frontend and backend
• Build reusable frameworks and platform capabilities
• Lead debugging, performance tuning, and reliability improvements
• Establish best practices for testing, observability, and CI/CD
• Improve reliability, performance, and cost efficiency
• Champion DevOps culture