Product Manager - DA (Decisioning and Fraud)
- Full-time
- Employee Status: Regular
- Role Type: Hybrid
- Department: Analytics
- Schedule: Full Time
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.
The Product Manager for Decision Analytics (decisioning and fraud) is responsible for managing the full product lifecycle of Experian’s suite of decisioning, fraud and ID software. This includes product vision, strategy, planning, development, post-release management, maintenance, and sunset lifecycles.
Products include, but are not limited to, Powercurve suite, Aidrian, Hunter, Fraudnet, Crosscore, authentication and verification tools, and the Ascend Platform.
The Product Manager will partner with the DA Consultants, Heads of Business Lines, Technical Teams, Product Manager(s), Sales, and Data Scientists to understand, communicate, define, and implement product requirements based on industry analysis, demand, and end-user feedback.
The Product Manager will be the subject matter expert for their products and have knowledge of competitive solutions. They will act as ambassador, champion, and evangelist for the products they manage and operate at a range of levels across the business.
Qualifications
- At least 5 years in new product & solutions development
- Introduction positions in technology, of which at least 1 as Product Manager/Product Marketing/Pre Sales/Consulting or product-related positions in the Financial, Fintech, Consultancy, IT, or Telco Industries
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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