Sr. Manager Data Science - Gen AI and Content Systems

Would you like to lead a team building production-grade NLP and LLM capabilities that transform legal and business information into actionable intelligence?Do you enjoy shaping the future of AI and data science in a way that delivers measurable customer and business impact?***US Based Remote Opportunity***About our Team:LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( LexisNexis Data Sciences:At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), RAG, agentic systems and large-scale structured and unstructured content systems to build tools that acquire, structure, enrich and deliver legal content. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence.Role Overview:We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing the strategy, standards, and execution of AI across our content ecosystem. You will lead a team that embeds machine learning and generative AI directly into production systems operating at scale.Our applied research opportunity balances innovation with practical constraints (e.g. latency, cost, reliability), requiring a strong ability to quickly iterate on prototypes (e.g. “vibe coding”), communicate tradeoffs, and rapidly deploy to production environments.This role is central to our transformation toward an intelligent, agent-enabled content platform which is capable of grounded reasoning, turning structured and unstructured data sources into legal knowledge.Key Responsibilities:Scope & ImpactSet the vision and strategic priorities, acting as a recognized expert for Data ScienceLead and develop a team of data scientists and ML engineers, setting the cultural tone for the groupDrive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliabilityBuild and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impactChampion hands-on rapid prototyping and iterationCollaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customizationOperate with broad scope, coordinating across multiple cross-functional teams, systems, and domainsTechnical & Product Leadership:Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including:Content collection (e.g. “web scraping”) and transformationMetadata extraction, enrichment, and classificationAgentic workflows turning real-world events and legal content into legal intelligenceAI-powered downstream product capabilitiesDesign and deploy scalable, production-grade AI systems, including:LLM-powered document understanding and generationAgentic workflows balancing agent autonomy and efficiency with required structure and accuracyRetrieval-augmented generation (RAG) pipelinesHybrid ML + rules-based systems for structured contentLead through execution and by example:Actively writing code, not just delegatingBuilding and demoing working prototypes (e.g. by “vibe coding”)Directly contributing to experiments and production modelsEstablish and scale best practices in Data Science, including:Model development, evaluation, and monitoringPrompt engineering and experimentation frameworksData preparation and feature engineering standardsReusable components and platform capabilitiesPartner closely with engineering, architecture, and product leaders to:Integrate AI into large-scale distributed systemsEnsure performance, scalability, and reliabilityAlign technical solutions with business outcomesTranslate complex, ambiguous problems into clear project plans and executable solutions, and lead teams through deliveryPresent tradeoffs, alternative approaches and options when faced with delivery constraintsTeam & Operational Excellence:Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers.Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design.Establish best practices for evaluation, observability, and responsible use of generative AI.Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments.Core Qualifications:Experience & EducationAdvanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experienceBachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AITypically requires:8+ years of relevant experience in data science, machine learning, or applied AI4+ years of leadership experience (direct or indirect team management)We recognize that exceptional candidates may follow non-traditional paths and value demonstrated impact, technical depth, and leadership over strict credential requirements.Success in this role requires:Leading through both technical expertise and organizational influenceActing as a change agent, embedding best practices into workflows and systemsDriving both team development and strategic outcomes across a broad scopeAbility to select the right tools and technologies to solve business problemsTechnical ProficiencyProficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques.Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture.Strong experience working with structured and unstructured data at scale.Ability to design and implement data pipelines and preparation workflows.Experience integrating ML into complex, multi-stage processing systemsWorking knowledge of containerization, CI/CD, RESTful API Design and model serving tools.Cloud infrastructure experience on AWS (preferred), Azure, or GCP.Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)Preferred BackgroundGraduate degree in Computer Science, AI, Machine Learning, or equivalent experience.8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems.Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable.Familiarity with ethical/legal considerations in deploying generative AI in professional settings.Work in a way that works for you:We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiveWorking for you:We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefitsRetirement Benefits: 401(k) with match and an Employee Share Purchase PlanWellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off ProgramsShort-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital IndemnityFamily Benefits, including bonding and family care leaves, adoption, and surrogacy benefitsHealth Savings, Health Care, Dependent Care and Commuter Spending AccountsUp to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choiceAbout the Business:LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.#AIFluencyU.S. National Base Pay Range: $118,300 - $219,800. 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. U.S. National Base Pay Range: $118,300 - $219,800. 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 View phone number on click.appcast.io.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 Privacy Policy.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.SummaryLocation: USA - Raleigh, NC (RDU); Home based-Illinois; Home based-Minnesota; Home based-Washington; Home based-New York; Home based-Massachusetts; Home based-Pennsylvania; Home based-Texas; Home based-Virginia; Home based-Arkansas; Home based-California; Home based-Arizona; Home based-FloridaType: Full time