AI-Powered Product Manager II

LexisNexis; Greater London; Presencial; GBP 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Country-specific benefits

Resumo da oferta

LexisNexis Risk Solutions in the United Kingdom is seeking a Product Manager to own AI-powered capabilities, translating customer needs and business objectives into actionable requirements. You will collaborate with Engineering, Data Science, UX, and business teams from discovery through launch and adoption.

Responsibilities include prioritizing backlogs, writing user stories, defining acceptance criteria, and partnering with AI/ML teams to deliver value while upholding privacy, reliability, and

Qualificações

• Experience owning product features, capabilities, or customer-facing software products.
• Strong analytical skills and ability to prioritize competing customer, business, and technical requirements.
• Experience delivering AI-powered products or capabilities, including Machine Learning, Generative AI, or related technologies.
• Ability to collaborate effectively with Engineering, Data Science, and UX teams to translate customer needs into product requirements.

Responsabilidades

• Define, refine, and prioritize requirements for AI-powered product capabilities and workflows.
• Partner with Engineering and Data Science teams to evaluate, operationalize, and enhance AI solutions.
• Manage product backlogs, write user stories, define acceptance criteria, and ensure delivery aligns with objectives.
• Participate in discovery activities including customer interviews, prototype validation, experimentation, and solution evaluation.
• Establish and track success metrics to measure adoption, effectiveness, quality, and value.

Conhecimentos

Product management

AI product delivery

Agile / Scrum

Data-informed decision making

Cross-functional collaboration

User story writing

Descrição da oferta de emprego

LexisNexis Risk Solutions in the United Kingdom is seeking a Product Manager to own AI-powered capabilities, translating customer needs and business objectives into actionable requirements. You will collaborate with Engineering, Data Science, UX, and business teams from discovery through launch and adoption.

Responsibilities include prioritizing backlogs, writing user stories, defining acceptance criteria, and partnering with AI/ML teams to deliver value while upholding privacy, reliability, and