Senior Product Manager – Digital Intelligence
ExperianHyderabad, Telangana
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Job Description
Job Description This role will be central to advancing Experian's next-generation fraud platform capabilities, focused on delivering a modular, platform-native, and extensible Digital Intelligence ecosystem that powers device intelligence, behavioral analytics, and behavioral biometrics across the customer lifecycle—from onboarding to authentication and account management. - The Senior Product Manager will lead initiatives that strengthen Experian's Ascend Fraud Platform by enhancing device identification, cross-environment recognition, ML-driven intelligence, and proprietary risk signals, while reducing reliance on third-party vendors and improving customer outcomes. - This role reports to the Director of Product Management and works closely with global and regional product teams, engineering, data science, and go-to-market stakeholders to execute high-impact product initiatives from concept through launch and scale. - This is an ideal opportunity for a Product Manager with strong domain expertise in Device Intelligence, Fraud Detection & Prevention, and platform products, who can translate complex business and technical requirements into scalable solutions that drive revenue protection, cost efficiency, and competitive differentiation. Product Strategy & Roadmap - Define and execute the strategy for Unified Digital Intelligence, aligning with Experian's broader fraud platform vision and Ascend ecosystem - Drive evolution from legacy systems toward a platform-native, microservices-based device intelligence architecture - Deliver a roadmap that strengthens Experian's market position against competitors Market Research & Competitive Intelligence - Analyze industry trends across device intelligence, behavioral analytics, and fraud prevention ecosystems - Identify opportunities to expand capabilities in behavioral biometrics, AI-driven fraud detection, and cross-channel intelligence - Continuously evaluate build vs. buy decisions to reduce vendor dependency and unlock strategic advantage Product Discovery & Customer Insights - Engage with customers, partners, and regional teams to identify key pain points across fraud use cases - Translate insights into actionable product requirements that improve fraud detection accuracy and reduce customer friction - Validate opportunities that accelerate client adoption and integration velocity Data-Driven Product Management - Use quantitative and qualitative data to optimize fraud detection performance and signal quality, reduce false positives and customer friction, prioritize features and investments Go-To-Market & Adoption - Partner with GTM, sales, and customer success teams to enable successful launches and feature adoption - Accelerate onboarding via simplified integration (e.g., hosted collectors, SDKs)
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