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LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

Senior Product Manager

Product ManagementPosted on Nov 13
Full-timeHorsham, PA, USA

About the Job

Requirements

  • Have a degree in a technical field or demonstrate technical acumen and experience.
  • Have experience building or managing AI-enabled, data-intensive, search, or other complex enterprise products, or comparable experience applying AI or machine learning capabilities to customer workflows.
  • Demonstrate sound product judgment for AI-enabled products, including the ability to frame valuable use cases, partner effectively with technical teams, evaluate output quality, and account for user trust, explainability, and risk.
  • Be able to collaborate to resolve issues.
  • Be able to interact professionally and effectively with internal and external customers.
  • Have experience mentoring or training others and acting as a subject matter expert to guide colleagues.
  • Have verbal and written communication skills and be able to build relationships with customers and stakeholders.
  • Be able to think analytically and organize work when dealing with multiple priorities.
  • Demonstrate product development knowledge, including developing related business cases, content, and product plans.
  • Have significant Product Management experience, from collaborative conceptualization through post-release management.
  • Be a U.S. citizen.
  • Successfully pass a background investigation and achieve Public Trust security clearance.

Responsibilities

  • Gather, evaluate, and understand customer use cases, including opportunities where AI, data, and search capabilities can improve high-stakes professional workflows.
  • Create and deliver innovative, AI-enabled product features and capabilities that solve meaningful customer problems and earn customer trust.
  • Define product requirements, success metrics, and evaluation approaches for AI-enabled capabilities, working with engineering, data, design, and customer-facing teams to assess output quality, reliability, explainability, and user adoption.
  • Lead and mentor team members, playing an active role in peer development and recruitment.
  • Leverage and identify metrics and data to track progress against customer needs, product outcomes, and project budgets.
  • Develop clear go-to-market launch plans through coordinated development with external, customer-facing teams.
  • Drive key end-to-end product life-cycle components, from discovery and planning through release, adoption, and post-release learning.
  • Develop product vision and roadmap plans aligned with business strategy, including reusable platform opportunities, and communicate them across critical stakeholders.
  • Own one or more product features and lead project execution.
  • Own product development plans and represent features within the cross-functional team, proposing new feature ideas that address customer pain points or needs based on firsthand customer understanding.
  • Prioritize and communicate production customer issues and defects based on relevant data for timely resolution.
  • Lead demonstrations to key stakeholders at program milestones.

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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