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Lead Product Manager

LexisNexis Risk Solutions
Cardiff, GBR
Full-time
Onsite
Discovered 3 weeks ago
Product managementProduct and portfolio strategyProduct roadmap developmentGrowth and portfolio developmentData analyticsData Science

Full Job Posting

Business and team

LexisNexis Risk Solutions provides business services in areas including anti-money laundering and counter-terrorist financing, identity authentication and verification, fraud and credit risk mitigation, and customer data management.

The role sits in a collaborative global Product team working with Product, Technology, Data Science and the wider business.

About the role

The Lead Product Manager will shape strategy and future direction for the Credit and Investigations portfolios.

The role will define portfolio vision, identify growth and innovation opportunities, and evolve products for an AI-enabled future.

The role works across Product, Technology, Data Science, Operations and Sales, translating opportunities into strategies, roadmaps and measurable outcomes while developing Product Managers.

Responsibilities

  • Own and evolve portfolio strategy, vision and roadmap.
  • Identify and validate growth, innovation and portfolio development opportunities.
  • Shape an AI-enabled portfolio future using Data Science, predictive modelling and automation to improve products and customer outcomes.
  • Translate customer, market, regulatory and business needs into priorities and investment choices.
  • Build business cases and communicate customer and commercial value of product investment.
  • Partner with Technology, Data Science, Operations and customer-facing teams to deliver strategy.
  • Define success measures and use evidence to guide decisions and priorities.
  • Influence senior stakeholders and align them on direction, trade-offs and investment.

Requirements

  • Significant Product Management experience, including product or portfolio strategy ownership and delivery.
  • Ability to connect customer problems, market changes, technology and commercial opportunities.
  • Experience turning complex or ambiguous opportunities into priorities, roadmaps and outcomes.
  • Strong commercial judgement and experience contributing to business cases or investment decisions.
  • Experience with data, analytics, Data Science, predictive modelling, automation or AI-enabled products.
  • Strong communication and influencing skills, including with senior stakeholders.
  • Experience partnering with Technology, Data Science or delivery teams to execute strategy.
  • Experience line managing, coaching and developing product professionals.

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