Senior Product Manager

RELX International; Cardiff; Remote; GBP 70,000 - 105,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Senior Product Manager to grow our fraud analytics proposition and collaborate with product, development and data science teams. The role focuses on customer problems, roadmap execution, and delivering valuable fraud analytics products across global markets.

As a Product Owner in a global team, you will partner with Sales, Marketing, Support and Services to gather needs and shape go-to-market strategies, while aligning with the organization’s risk and data

Qualifications

• Product Management/Owner experience required.
• Experience with analytics products in fraud space.
• Domain knowledge in fraud prevention, statistical modelling and AI/ML.
• Ability to analyze large data sets and ML/AI algorithms.
• Strong communication and stakeholder management.
• Experience with Agile (Scrum/Kanban) is nice to have; Spec-Driven Development (SDD) desirable.

Responsibilities

• Customer discovery and product lifecycle: define roadmap and deliver value with cross‑functional teams.
• Design and own product suite strategy with market and customer insights.
• Data-driven decision making from large data for product development and satisfaction.
• Go-to-market and product marketing lifecycle with Sales, Marketing, Support and Services.
• Flexible working hours to cover UK and US time zones.

Skills

Product Owner experience

Fraud analytics experience

Data analysis

Agile methodologies

Stakeholder communication

Problem solving

Job description

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

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

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