Product Manager II

Overview Are you keen to develop your Product Management career? Would you enjoy working on our cutting‑edge products? 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. Learn more about LexisNexis Risk at https://risk.lexisnexis.com About the Role We are seeking a data‑driven and analytically minded Product Manager II – Analytics to support the development and growth of our UKI Data Science and Credit Risk capabilities.

This role operates at the intersection of Product, Data Science and Credit Risk development, with a clear focus on turning analytics and insight into measurable customer and business value. Responsibilities Interact frequently with customers and stakeholders to gather, clarify, and document requirements for analytics and insight capabilities. Identify customer and business needs and prioritise work based on value, impact, and strategic alignment.

Maintain product backlogs to support effective delivery by the Credit Risk and Data Science teams. Act as the primary product interface to the Credit Risk development team and Data Science team, ensuring clarity on priorities, requirements, and intended outcomes. Manage stakeholder expectations through clear, regular communication on priorities, progress, and delivery outcomes.

Work closely with the Credit Product Lead, contributing to product strategy and roadmap discussions within the Credit Risk and Data Science domains. Support go‑to‑market launch activities, including timelines, value messaging, and enablement needs with GTM partners. Contribute to product‑specific content used in customer‑facing activities (e.g. sales demonstrations, customer events, Train‑the‑Trainer sessions).

Collaborate with Data Science to ensure analytical outputs (e.g. models, attributes, testing evidence, monitoring insight) meet defined product requirements and use cases. Solve customer problems by delivering insights and capabilities that achieve agreed business goals and success metrics. Manage defined portions of the product lifecycle, from discovery through delivery, validation and iteration.

Qualifications Demonstrable experience in product management or product ownership, with responsibility for backlog prioritisation and delivery of customer‑facing capabilities. Proven experience working alongside, or strong understanding of, Data Science practices and outputs. Strong ability to translate raw data and analytical work into customer value, shaping outputs into usable insight assets and articulating outcomes clearly.

Self‑starter mindset, comfortable working independently and owning key deliverables. Strong understanding of agile methodologies. Excellent organisational, communication and stakeholder engagement skills.

Analytical and data‑driven, with the ability to translate insights into actionable decisions. Experience within Credit Risk Decisioning is preferred but not essential. Benefits Generous holiday allowance with the option to buy additional days.

Health screening, eye care vouchers and private medical benefits. Wellbeing programmes. Access to a competitive contributory pension scheme.

Share option scheme. Travel season ticket loan. Electric vehicle scheme.

Optional dental insurance. Maternity, paternity and shared parental leave. Employee Assistance Programme.

Access to emergency care for both the elderly and children. Careers days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer.

Extensive learning and development resources. Employee discount scheme via Perks at Work. Equal Opportunity Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, colour, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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