Senior Product Manager – Digital Intelligence
AI in this role
Experian 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.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few.
Check out Experian Life on social or explore our Careers Site (experian.com/careers) to understand why.
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)
- You are required to have 11+ years of Product Management experience in complex, matrixed organizations
- Strong domain expertise in Fraud, Risk, Device Intelligence, or Identity solutions
- 5+ years of 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
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Global Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
Find out what its like to work for Experian by clicking here
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Senior Product Manager – Digital Intelligence at Experian rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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