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LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

Senior Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-time$86.6k - $173.3k

About the Job

Requirements

  • Strong Product Management experience with ownership of complex technology products or product capabilities.
  • Demonstrated experience taking technology products from discovery and concept through development, launch and continuous improvement.
  • Previous exposure to AI-powered products or capabilities is essential, with a good understanding of AI, Machine Learning, Generative AI, large language models and Agentic AI concepts; candidates need not be AI engineers but should be comfortable working with these technologies and discussing them with technical teams.
  • Strong customer discovery experience and the ability to translate customer problems and market insights into product strategy and priorities.
  • Proven ability to work closely with Engineering, Data Science and other technical teams.
  • Excellent stakeholder management, communication and presentation skills, with the confidence to engage directly with customers and senior leadership.
  • Strong analytical skills and the ability to use qualitative and quantitative insights to drive product decisions.
  • Ability to work effectively in a fast-paced environment and manage competing priorities with a high degree of autonomy.
  • Fluent English is essential.
  • A Bachelor's or Master's degree in Computer Science, Engineering or another technical discipline is preferred but not essential.

Responsibilities

  • Define and drive the product strategy and roadmap for new AI-powered and Agentic AI capabilities, identifying and prioritizing use cases that deliver customer and business value.
  • Lead customer discovery activities to understand customer needs, investigation workflows and pain points, translating insights into clear product priorities and requirements.
  • Partner with Engineering and technology teams to define, develop and deliver AI-enabled product capabilities using Generative AI, large language models, Machine Learning and AI agents.
  • Evaluate and prioritize potential AI agent skills and capabilities, building hypotheses and recommendations to support product and investment decisions.
  • Work across multiple product and solution teams to ensure centrally developed capabilities can be integrated and reused across the broader product portfolio.
  • Use customer insights, product metrics and data to support decision-making, define KPIs and measure product quality, effectiveness and adoption.
  • Manage complex stakeholder relationships and communicate product strategy, priorities, progress and recommendations to senior leadership.
  • Collaborate with Sales, Marketing and other customer-facing teams to support go-to-market strategy, product positioning and successful adoption.
  • Ensure AI-powered capabilities are developed responsibly, working with Legal, Risk and Compliance stakeholders on transparency, privacy, security, reliability and customer trust.
  • Balance strategic product leadership with moving quickly from discovery to delivery in an international environment.

Desired Qualifications

  • Experience within Financial Crime Compliance or financial services is beneficial but not essential; candidates from other industries may be considered if they demonstrate strong Product Management capabilities and relevant AI experience.
  • French is advantageous for candidates based in Paris but is not a requirement.

About the Company

LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

LexisNexis Risk Solutions provides data, analytics, and decision tools to help organizations assess and manage risk across many industries. Its offerings combine large data sets with advanced analytics to support better decisions, improve operations, and protect consumers. By covering sectors like financial services, government, healthcare, insurance, retail, and public safety, the company helps customers evaluate likelihoods of risk, detect issues, and act more efficiently. The goal is to turn data into actionable insight that reduces risk, increases operational efficiency, and supports compliant, informed decision-making for its clients.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Alpharetta, GA
Founded
1997

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