Data-Driven Product Manager, Insurance Risk Solutions

Nextens

Nottingham

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Job summary

LexisNexis Risk Solutions in the United Kingdom is seeking a data-driven Product Manager to support UKI capabilities by developing and maintaining insurance-specific products. You will collaborate with Marketing, Finance and Engineering to identify customer needs, shape data-driven products and deliver solutions that create measurable value.

This role offers the opportunity to influence product strategy and drive innovation within the risk solutions ecosystem, with visible impact across the

Qualifications

  • Experience in product management or product ownership with backlog delivery for customer-facing capabilities.
  • Ability to gather requirements from cross-functional stakeholders and translate into actionable development.
  • Strong understanding of agile methodologies and product lifecycle.

Responsibilities

  • Interact with customers and stakeholders to gather and document requirements for data-driven capabilities.
  • Prioritise work based on value, impact, and strategic alignment.
  • Maintain product backlogs to support delivery of data products.
  • Communicate priorities, progress, and delivery outcomes to stakeholders.
  • Contribute to product strategy and roadmap discussions.
  • Support GTM activities with timelines, value messaging and enablement needs.

Skills

Product management
Backlog prioritisation
Agile methodologies
Stakeholder engagement
Independence

Job description

LexisNexis Risk Solutions in the United Kingdom is seeking a data-driven Product Manager to support UKI capabilities by developing and maintaining insurance-specific products. You will collaborate with Marketing, Finance and Engineering to identify customer needs, shape data-driven products and deliver solutions that create measurable value.

This role offers the opportunity to influence product strategy and drive innovation within the risk solutions ecosystem, with visible impact across the

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