Level

RELX

Senior Product Manager

RELX is hiring a Senior Product Manager in Cardiff, United Kingdom. Level rates it ; you can apply on RELX.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 805 other open roles at RELX.
  • The role was posted in the last few days.

AI in this role

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/


About the Role

LexisNexis Risk Solutions is seeking a Senior Product Manager to help grow our fraud analytics proposition and support our mission to provide essential insights that advance and protect people, industry and society. As a Product Owner within a global team, you will collaborate across product, development and data science to solve customer problems and deliver valuable fraud analytics products.


Responsibilities

  • Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritize incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organization
  • Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights
  • Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction
  • Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials
  • Due to the global nature of the role flexible working hours will be required (split between UK and US working hours)

Requirements

  • A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience
  • Experience with managing analytics products within the fraud space is essential
  • Domain knowledge in fraud prevention, statistical modelling and AI/machine learning is a must
  • Ability to understand and analyze complex data in association with machine learning and AI algorithms
  • Committed to delivering high quality to the users, keeping the customers at heart of every product decision
  • Great organizational and prioritization skills and attention to details with the ability to make decisions under pressure
  • Excellent verbal and written communication skills and ability to connect and communicate with a wide range of stakeholders at various levels of seniority
  • Understanding of Agile methodologies and frameworks (e.g., Scrum and Kanban) is nice to have; experience with Spec-Driven Development (SDD) methodologies and practices is highly desirable

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How we rate this

Senior Product Manager at RELX rates 32 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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