Product Manager, Property Intelligence
RELX is hiring a Product Manager, Property Intelligence for a remote role open to applicants in United States. It pays $95k-$159k a year and Level rates it ; you can apply on RELX.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions AI agents among its tools and skills.
- RELX has 798 other open roles on Level.
- Posted in the last few days.
AI in this role
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance.
About the Team
The Property Intelligence product team consists of passionate product professionals who build solutions that help insurers better understand property, location, and risk. We balance current customer and market needs with innovative uses of technology that can shape the future of insurance workflows and industry standards.
About the Role
You will help shape the Property Intelligence platform by connecting customer needs, product insights, and measurable outcomes. You will work across customers, sales, and internal stakeholders to strengthen product adoption and engagement while using analytics, feedback, and agentic workflows to support effective product management.
Responsibilities
- Engage regularly with internal and external customers to gain a deep understanding of their use cases, businesses, and competitive landscapes.
- Build and maintain KPI reporting and analytics used to evaluate product adoption, customer engagement, operational performance, and progress against strategic goals.
- Facilitate feedback loops to quantify and report on the impact of platform initiatives.
- Enable sales, internal stakeholders, and customers to understand the capabilities, value, and direction of the Property Intelligence platform.
- Gather a wide range of information from internal and external sources to drive commercially viable decisions for the product and organization.
- Build and maintain a suite of agentic workflows to support the wider product management team.
Requirements
- Strong understanding of agile product development and iterative delivery practices.
- Experience gathering customer feedback and translating customer requests into actionable requirements and product insights.
- Strong analytical skills and comfort working with product metrics, KPIs, and data-driven decision making.
- Experience creating or maintaining dashboards, KPI reporting, or product analytics is preferred.
- Ability to work with technical concepts including APIs, SaaS applications, system integrations, and data structures.
- Excellent written and verbal communication skills.
- Strong organizational skills and attention to detail, with the ability to manage multiple priorities and operate effectively in ambiguous environments.
- Experience working with insurance, property technology, claims, risk intelligence, AI, or agentic workflows is a plus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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How we rate this
Product Manager, Property Intelligence at RELX rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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