Product Manager, ECS Generative AI Experiences at Experian

Experian Consumer Services is seeking a Product Manager – Generative AI Experiences to help shape and scale AI-powered conversational products, including the Experian Virtual Assistant™ (EVA) and off-property Generative AI conversational experiences. This role will report into the EVA product leadership team and help advance our mission to deliver an AI financial assistant that uses natural language to anticipate needs, automate actions, and orchestrate tools. As the Product Manager for Generative AI Experiences, you will help define, build, iterate, and improve conversational AI products that drive stronger self-service, deeper engagement, and better monetization outcomes. You will work across product, engineering, design, data science, analytics, compliance, and operations to deliver AI-powered experiences that are more helpful, more personalized, and more effective than traditional digital support flows. Role and Responsibilities • Help drive product discovery, roadmap definition, and execution for EVA and related Generative AI assistant experiences across owned and/or off-property surfaces. • Build conversational product experiences that increase digital self-service and reduce reliance on call center support. • Identify and prioritize opportunities for AI-driven conversations to improve consumer engagement, task completion, and retention. • Partner on monetization use cases, including personalized offers, recommendations, and conversion-oriented conversation flows that create value for both consumers and the business. • Define and optimize AI-powered user journeys that feel more helpful, personalized, and effective than traditional human-assisted or static digital experiences. • Contribute to the development of agentic experiences that can safely take actions on behalf of consumers, such as orchestrating tools, completing workflows, and resolving financial tasks. • Translate consumer problems, business goals, and technical constraints into clear product requirements, user stories, and experimentation plans. • Work closely with engineering, data science, project managers and design teams to launch iterative improvements to conversational experiences, including prompting, flow design, memory/context handling, and orchestration logic.Success in This Role   • Increase self‑service adoption and reduce avoidable call‑center contacts. • Improve customer engagement through relevant, natural, and high‑value AI‑driven conversations. • Drive monetization through personalized conversational experiences and targeted offers. • Create differentiated assistant experiences that are proactive, context‑aware, and action‑oriented. • Advance EVA toward more intelligent, agentic financial assistance for consumers.