Product Mgr II

LexisNexis Risk Solutions; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions in London seeks a Product Manager to own AI-powered product capabilities, translating customer needs and business objectives into actionable requirements while driving discovery through launch and adoption.

You will collaborate with Engineering, Data Science, and UX to deliver measurable customer and commercial value, manage backlogs, write user stories, and define acceptance criteria. Experience delivering AI-powered products and agile delivery is essential.

Qualifications

• PM/PO or related product delivery experience.
• Experience owning product features and customer-facing software.
• Experience with Engineering and cross-functional teams in agile delivery.

Responsibilities

• Define, refine, and prioritize requirements for AI-powered product capabilities and workflows.
• Partner with Engineering and Data Science to operationalize AI/ML/Generative AI solutions.
• Manage backlogs, write user stories, define acceptance criteria, ensure alignment with objectives.
• Participate in discovery activities including customer interviews and prototype validation.
• Establish and track success metrics for adoption, quality, and customer value.
• Support testing and continuous improvement of AI-driven capabilities using feedback.

Skills

Product management

Agile delivery

Cross-functional collaboration

Data-driven decision making

Job description

Do you enjoy turning customer needs and product strategy into AI-powered solutions that deliver measurable value?

Would you like to collaborate across Engineering, Data Science, UX, and business teams to bring innovative products from discovery through launch and adoption?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

About the Role

As a Product Manager, you will own one or more product capabilities and drive the execution and delivery of AI-powered products and features. You will translate customer needs, business objectives, and product strategy into actionable requirements, working with cross-functional teams to deliver measurable customer and commercial value from discovery through launch and adoption.

Responsibilities

• Define, refine, and prioritize requirements for AI-powered product capabilities and workflows.
• Partner closely with Engineering and Data Science teams to evaluate, operationalize, and enhance AI, Machine Learning, and Generative AI solutions.
• Manage product backlogs, write user stories, define acceptance criteria, and ensure delivery aligns with customer and business objectives.
• Participate in discovery activities including customer interviews, prototype validation, experimentation, and solution evaluation.
• Establish and track success metrics to measure product adoption, effectiveness, quality, and customer value.
• Support testing, validation, and continuous improvement of AI-driven capabilities using customer feedback and quantitative insights.
• Lead demonstrations and reviews with stakeholders at key program milestones.
• Support the development of AI-powered products in accordance with principles of transparency, privacy, reliability, fairness, and security, and contribute to monitoring frameworks that measure AI quality, performance, explainability, and customer trust.

Requirements

• Product Management, Product Owner, or related product delivery experience.
• Experience owning product features, capabilities, or customer-facing software products.
• Experience working closely with Engineering and cross-functional teams in agile delivery environments.
• 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, intelligent automation, conversational AI, or related technologies.
• Experience with Agile product ownership, backlog management, sprint planning, and product discovery practices.
• Understanding of AI, Machine Learning, Generative AI, LLMs, intelligent automation, and modern software development practices.
• Ability to collaborate effectively with Engineering, Data Science, and UX teams to translate customer needs into product requirements, write user stories, define acceptance criteria, and manage product backlogs.

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