Sr. Manager Data Science – Gen AI and Content Systems Relx

Skills / Requirements

• AWS
• Azure
• CI/CD
• Claude Code
• Data Pipelines
• GCP
• Github Copilot
• Google ADK
• Hybrid Retrieval Architecture
• Knowledge Graphs
• LangChain
• LLM Tooling
• NLP Systems
• OpenAI Codex
• Prompt Engineering
• Python
• PyTorch
• RESTful API Design
• TensorFlow
• Vector databases
• Vibe Coding

Why Apply

This role is ideal for those skilled in AI coding tools like GitHub CoPilot and OpenAI Codex, as it involves rapid prototyping and deploying AI in production systems. You'll work with LLMs and agentic systems to enhance legal intelligence capabilities.

What You'll Be Doing

You will lead a team of data scientists and ML engineers to integrate machine learning and generative AI into production systems. Your focus will be on developing AI strategies, managing applied research, and ensuring the deployment of scalable AI solutions.

Pay and Career Growth

The role offers a competitive salary range of $118,300 to $219,800 per year, reflecting the senior-level responsibilities. Relx emphasizes a healthy work-life balance and values demonstrated impact and leadership over strict credentials, offering a supportive environment for career growth.

Benefits and Perks

• Innovation-driven environment
• Leadership Opportunities
• Professional Development
• Work/life balance

Is This Role Right for You?

Original Job Description

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?

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

About our Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), 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 (https://stories.relx.com/responsible-ai-principles/index.html).

About 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 & Impact

Set the vision and strategic priorities, acting as a recognized expert for Data Science

Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group

Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability

Build 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 impact

Champion hands-on rapid prototyping and iteration

Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization

Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains

Technical & 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 transformation

Metadata extraction, enrichment, and classification

Agentic workflows turning real-world events and legal content into legal intelligence

AI-powered downstream product capabilities

Design and deploy scalable, production-grade AI systems, including:

LLM-powered document understanding and generation

Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy

Retrieval-augmented generation (RAG) pipelines

Hybrid ML + rules-based systems for structured content

Lead through execution and by example:

Actively writing code, not just delegating

Building and demoing working prototypes (e.g. by “vibe coding”)

Directly contributing to experiments and production models

Establish and scale best practices in Data Science, including:

Model development, evaluation, and monitoring

Prompt engineering and experimentation frameworks

Data preparation and feature engineering standards

Reusable components and platform capabilities

Partner closely with engineering, architecture, and product leaders to:

Integrate AI into large-scale distributed systems

Ensure performance, scalability, and reliability

Align technical solutions with business outcomes

Translate complex, ambiguous problems into clear project plans and executable solutions, and lead teams through delivery

Present tradeoffs, alternative approaches and options when faced with delivery constraints

Team & 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 & Education

Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience

Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI

Typically requires:

8+ years of relevant experience in data science, machine learning, or applied AI

4+ 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 influence

Acting as a change agent, embedding best practices into workflows and systems

Driving both team development and strategic outcomes across a broad scope

Ability to select the right tools and technologies to solve business problems

Technical Proficiency

Proficient 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 systems

Working 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 Background

Graduate 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 productive

Working 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 benefits

Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits

Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About 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.

#AIFluency

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 (https://www.relx.com/careers/join-us/benefits) 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 (https://www.relx.com/careers/join-us/benefits) to access benefits specific to your location.

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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.

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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.