Do you thrive on orchestrating programs that unlock product momentum?Do you enjoy turning strategy into crisp execution, removing friction so teams can deliver customer value? LexisNexis is launching a company-wide Embedded Innovation Program to help teams benefit from AI in a practical, consistent, and well-supported way. We embed small, cross-functional teams within business domains to deliver reusable internal solutions that improve productivity, decision quality, and speed. Were hiring a Sr. Product Manager, Product Operations to define and operationalize AI-first ways of working across embedded teams. Youll shape the AI operating model, build a measurable system for user and team success, and deliver executive-ready reporting that enables program scale. Responsibilities \\+ Serve as an in-house expert on product operating principles (for example: Agile, Kanban, SVPG patterns, OKRs) and their practical application in a fast-moving internal innovation context. \\+ Rethink and experiment with AI-first ways of working, translating principles into repeatable team habits, templates, and lightweight governance that raise consistency without slowing teams down. \\+ Optimize embedded teams performance and consistency across the initial embedded innovation teams; minimize duplication and enable sharing and reuse of work across teams. \\+ Scale the program by maintaining a standardized blueprint to onboard new embedded teams and partner groups, including operating rhythms, enablement, tool access, and success measures. \\+ Define, propose, and track metrics for user success and team success, including adoption, satisfaction, reliability, lessons learned, and measurable business impact. \\+ Build and maintain a baseline and tracking system (dashboards, feedback loops, and reporting cadence) that surfaces insights, risks, and blockers to leadership regularly. \\+ Support readouts to senior leadership on Embedded Innovation progress, outcomes, learnings, and next steps. \\+ Partner with IT, Infrastructure, and InfoSec on integration needs, provisioning, access management, security controls, and guardrails required for internal AI solutions to operate safely and reliably. \\+ Support internal enablement through demos, workshops, and best-practice resources that increase confidence in daily AI usage and help teams adopt proven patterns. Requirements \\+ 6 to 8 years of experience in product management, product operations, or program management in a matrixed enterprise environment. \\+ Demonstrated success delivering complex, multi-team initiatives at scale, with a track record of turning ambiguity into operating structure and shipped outcomes. \\+ Deep fluency in product methodologies and principles (for example: Agile, SVPG, experimentation approaches, OKRs) and practical experience applying them. \\+ Hands-on experience with large language models and modern AI tools, and the ability to stay current as the landscape evolves. \\+ Ability to define meaningful success metrics, build lightweight measurement systems or dashboards, and use data to drive prioritization and continuous improvement. \\+ Strong stakeholder management and communication skills, including comfort engaging with senior leaders and influencing without direct authority. \\+ Comfort partnering with Engineering, UX, Data Science, IT, and Security teams to balance speed, reliability, and responsible AI usage. \\+ Strong facilitation skills, including the ability to run working sessions, demos, and executive-ready readouts with clear outcomes. Equal Opportunity We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. 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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

The role requires 6 to 8 years of experience in product management, product operations, or program management within a matrixed enterprise environment. Demonstrated success in delivering complex, multi-team initiatives at scale is necessary, with a proven ability to transform ambiguity into operating structure and tangible outcomes. Deep fluency in product methodologies and principles, such as Agile, SVPG, experimentation approaches, and OKRs, along with practical application experience, is essential. Hands-on experience with large language models and modern AI tools is required, along with the ability to adapt to evolving AI landscapes. The position also necessitates the ability to define meaningful success metrics, build lightweight measurement systems or dashboards, and leverage data for prioritization and continuous improvement. Strong stakeholder management and communication skills are crucial, including comfort engaging with senior leaders and influencing without direct authority. Comfort partnering with various teams like Engineering, UX, Data Science, IT, and Security to balance speed, reliability, and responsible AI usage is also important.