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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager Data Science - Gen AI and Content... - **Company:** RELX Group plc - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, Web Scraping, Graph Database, Python (Programming Language), Machine Learning, Performance Tuning, Rapid Prototyping Process, Tensorflow, Systems Integration, Unstructured Data, GitHub Copilot, Pytorch, Large Language Models, Containerization, Information Technology, Low Latency, Machine Learning Operations, Restful APIs, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://www.juju.com/job/00000000gmozco ## About the Role + 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. ## Description 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, + 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. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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