Jobs at Experian

Own the sales cycle from prospecting through proposal, build predictable pipelines, and sell SaaS, risk, fraud, KYC, identity, and data solutions to Indian financial services and related clients. Identify and qualify opportunities, map customer needs to Experian decisioning solutions, lead consultative discussions with senior stakeholders, collaborate on demos and proposals, and drive cross-sell and upsell growth. The role emphasizes farming existing accounts while hunting for new business.

Lead regional GenAI product strategy and commercialization across Ascend and Fraud portfolios. Drive discovery, productization, scaling, and adoption of GenAI features; partner with Engineering, Data Science, Sales and GTM; ensure governance, explainability, and measurable commercial outcomes.

Lead Experian India's Direct-to-Consumer product portfolio: define strategy and roadmap, manage end-to-end product lifecycle, drive growth and monetization, onboard partners, ensure regulatory and security compliance, and coordinate cross-functional delivery to meet business and engagement metrics.

Develop and maintain backend and frontend systems using Java, Python, Spring Boot, and React/Angular. Build and integrate APIs and microservices (Swagger), optimize multithreading, performance, and memory. Work with Oracle SQL/PLSQL, Linux/Unix, and CI/CD pipelines. Apply software architecture and design patterns and provide leadership and clear communication across teams.

Design and deliver predictive models and automated scoring systems using machine learning and statistical methods. Work with business, pre-sales, and delivery teams to generate insights, support product creation, and manage analytics engagements. Handle large data volumes and apply advanced analytics to drive client value.

Plan, execute, and lead internal audits across business, product, operations and IT processes. Perform risk assessments, control testing, prepare audit programs/checklists, document workpapers, report findings with actionable recommendations, track remediation, and support special investigations and strategic audits for senior management.

Build high-quality predictive models and automated scores using machine learning and statistical analysis. Apply data mining to large datasets, generate insights, and support business, pre-sales, and analytics teams for product creation and delivery.

Analyze large datasets, build and maintain dashboards and reports, develop data models and KPIs, support forecasting and performance tracking, ensure data integrity, automate reporting, and present actionable insights to stakeholders.

Manage end-to-end bureau data ingestion and quality for consumer, commercial, and MFI bureaus. Monitor pipelines, resolve ingestion failures, drive data cleanup and validation improvements, coordinate with members and internal teams, support regulatory and governance requirements, and pursue automation to improve TATs and reduce rejections.

Manage, investigate, and resolve customer grievances across channels within SLAs and regulatory guidelines. Perform root-cause analysis, coordinate cross-functional teams, draft customer and regulator responses, maintain CRM records, report complaint trends and KPIs, and recommend process improvements to reduce complaint volumes and improve customer satisfaction.