01Overview
Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job DescriptionJob description We are looking for an experienced and impact-driven Senior Product Manager to join our global Product team to drive the charter for Unified Digital Intelligence, a key strategic and revenue-generating product within our Fraud and Identity portfolio.This role will be central to advancing Experians 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 lifecyclefrom onboarding to authentication and account management.The Senior Product Manager will lead initiatives that strengthen Experians 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. ResponsibilitiesProduct Strategy & Roadmap Define and execute the strategy for Unified Digital Intelligence, aligning with Experians 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 Experians market position against competitorsMarket 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 advantageProduct 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 velocityData-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 Track product performance across usage, adoption, and drive continuous improvementGo-To-Market & Adoption Partner with GTM, sales, and customer success teams to enable successful launches and feature adoption Support migration paths from legacy systems to unified platform Accelerate onboarding via simplified integration (e.g., hosted collectors, SDKs)Cross-Functional Leadership Collaborate with engineering, data science, and global stakeholders across regions Influence alignment across matrixed teams and drive execution at scale Support global rollout strategy while managing regional priorities and constraints Qualifications 812 years of Product Management experience in complex, matrixed organizations Strong domain expertise in Fraud, Risk, Device Intelligence, or Identity solutions Experience building platform products, APIs, microservices, and SDK-based solutions Proven track record of delivering products that drive revenue impact, cost savings, or scalability improvements Experience working with AI/ML-driven products, including model lifecycle and data-driven decision-making Familiarity with device fingerprinting, behavioral analytics, or fraud signal ecosystems Strong analytical mindset with ability to translate business cases into product strategy Experience working with globally distributed engineering and data teams Deep experience in Agile methodologies (Scrum/Kanban) What We Offer Truly global and collaborative team culture with immense impact potential. Exposure and ownership to full product lifecycle, from conception to launch. Mentorship and Compa
