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About The Business
LexisNexis Risk Solutions is the essential partner in risk assessment. Within our Business Services vertical, we offer solutions to help businesses drive revenue, maximize operational efficiency, and improve customer experience. Our solutions address Anti-Money Laundering, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. Learn more at .
About The Role
As a Senior Product Manager, you will manage a portfolio of machine learning-driven digital identity and device identification products. You will lead product development, evangelize product value, promote data-driven decision-making, and work closely with cross-functional teams to deliver innovative solutions.
Responsibilities
* Lead product execution, development plans, and backlog management.
* Collaborate with cross-functional teams to develop and refine product ideas.
* Identify opportunities to enhance digital and device identifiers.
* Drive experimentation, optimization, and measure outcomes.
* Manage go-to-market strategies and communicate product roadmaps to stakeholders.
Requirements
* At least 5+ years of product management experience in software.
* Expertise in Machine Learning.
* Knowledge of fraud prevention and digital identity or device profiling is preferred.
* Strong analytical skills with tools like SQL and Snowflake.
* Ability to solve complex problems simply.
* Excellent communication skills and confidence evangelizing digital identification.
* Experience translating business requirements into technical designs.
* Proficiency in Agile methodologies and some background in software development.
* Bachelor's or Master's degree in a technical field preferred.
Learn more about our team and culture. We value diversity and are committed to inclusive hiring practices. For accommodations, contact us via this form or call 1-855-833-5120. Read our Candidate Privacy Policy .
Additional Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Product Management and Marketing
* Industries: Data Infrastructure and Analytics
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