Product Manager

LexisNexis Risk Solutions; Cardiff; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Generous holiday allowance with option to buy additional days

Health screening and private medical benefits

Competitive contributory pension scheme

Electric Vehicle Scheme

Access to learning and development resources

Job summary

LexisNexis Risk Solutions is looking for a Product Manager II – Analytics in Cardiff, UK. This role demands a data-driven, analytically minded professional who will support the growth of the UK's Data Science and Credit Risk capabilities. The ideal candidate will interact with customers, prioritize product backlogs, and ensure effective delivery by collaborating with the Credit Risk and Data Science teams. You will enjoy a range of benefits, including a generous holiday allowance, health screening, and a competitive pension scheme.

Qualifications

• Demonstrable experience in product management or product ownership.
• Strong understanding of Data Science practices.
• Excellent organisational and communication skills.
• Analytical and data-driven mindset.

Responsibilities

• Interact with customers to gather and document requirements.
• Identify customer needs and prioritise based on value.
• Maintain product backlogs for effective delivery.
• Act as product interface to teams ensuring clarity on priorities.
• Manage stakeholder expectations through regular communication.
• Support go to market launch activities.

Skills

Product management

Data Science

Agile methodologies

Stakeholder engagement

Analytical thinking

Job description

Are you keen to develop your Product Management career?

Would you enjoy working on our cutting-edge products?

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 the link below, 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.

As a Product Manager II, you will own and lead execution across one or more analytics capabilities within the UKI portfolio, acting as the primary product partner for both the Credit Risk development team and the Data Science team. You will apply established product practices to discovery, prioritisation, and delivery while contributing to product strategy within your domain.

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 (GTM) 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

Requirements

• 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

Working For You

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days


• Health screening, eye care vouchers and private medical benefits


• Access to a competitive contributory pension scheme


• Save As You Earn share option scheme


• Travel Season ticket loan


• Electric Vehicle Scheme


• Maternity, paternity and shared parental leave


• Employee Assistance Programme


• Access to emergency care for both the elderly and children


• CARES days, giving you time to support the charities and causes that matter to you


• Access to employee resource groups with dedicated time to volunteer


• Access to extensive learning and development resources


• Access to employee discounts scheme via Perks at Work