Senior Director, Product Management - Identity Digital Intelligence

Experian is a global data and technology company that powers opportunities for people and businesses worldwide. The Senior Director, Digital Intelligence will oversee the global Digital Intelligence product portfolio, define its strategy and roadmap, lead regional product managers, and own detection outcomes, customer adoption, and commercial performance.

Responsibilities:

• Set the global vision, strategy and roadmap for Digital Intelligence across web, mobile and API products, with measurable goals for coverage, detection performance and latency
• Define how device, behavioral, agent and network-risk signals are collected, scored and delivered into Experian's orchestration and decisioning products
• Lead the SDK, tag, mobile collection and API roadmap, including versioning, migration and deprecation practices that support stable customer integrations
• Guide detection strategy for bot abuse, account takeover, synthetic identity and new-account fraud using device, behavioral and network signals
• Advance agent intelligence by distinguishing legitimate automated agents, genuine users and malicious automation across onboarding, login and payment journeys
• Lead a multi-region product management team and align global partners on shared roadmap priorities, governance and product standards
• Partner with Engineering, Data Science, Design, Privacy, Legal and go-to-market teams to balance coverage, accuracy, latency, consent and regulatory requirements across markets
• Own portfolio adoption, retention, attributable revenue, pricing and packaging, while using AI-assisted discovery, prototyping and evaluation practices to improve product decisions and delivery

Requirements:

• 10+ years of product management experience, including experience leading product teams or product leaders
• Experience overseeing or building a device intelligence, device-fingerprinting or SDK-based signal product at scale
• Experience building device and network-risk capabilities, including device reputation or fingerprinting and IP, proxy, VPN, TOR, connection or ASN risk signals
• Hands-on product experience with behavioral and device signals such as spoofing, emulator, virtual-machine or headless-browser detection and signal stability over time
• Product experience in fraud prevention covering areas such as bot abuse, account takeover, synthetic identity or new-account fraud
• Experience defining or evaluating AI-powered product capabilities, including agent or tool-use workflows, evaluation frameworks, guardrails and human oversight
• Experience working with globally distributed product, engineering, data science, legal/privacy and go-to-market teams
• Experience owning commercial outcomes for a product portfolio, such as adoption, retention, revenue, pricing or packaging