Are you passionate about using data, analytics, and automation to drive smarter decisions at scale?
Do you enjoy partnering with technical and business teams to understand complex cost drivers and uncover opportunities for optimization?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://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 the Role
As a Senior FinOps Analyst, you will play a key role in shaping how AI costs are measured, analyzed, and optimized across the organization. You will own the data, analytics, and reporting that help teams understand the financial impact of AI adoption, while building scalable solutions that support effective decision-making and sustainable growth. This role offers an opportunity to partner closely with engineering, product, and finance stakeholders to improve visibility, forecasting, and cost efficiency.
Our operating model is built around enablement rather than gatekeeping. Product and engineering teams evaluate models and select the options that best meet their needs. Your role is to make the cost implications of those choices visible early, clearly, and credibly so teams can make informed decisions. The goal is to influence through trusted data and practical insight, not through unnecessary approval processes.
Responsibilities
- Own AI cost modeling and attribution across tokens, models, products, teams, and shared infrastructure.
- Define unit-cost metrics that distinguish usage growth from efficiency changes.
- Maintain accurate, explainable cost data with clear lineage and defensible methodology.
- Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud billing into trusted datasets.
- Automate recurring reporting, month-end close support, and anomaly detection.
- Develop practical BI dashboards for engineering teams and credible reporting for Finance stakeholders.
- Analyze cost movements and explain drivers, expected impacts, and forward-looking implications.
- Identify, quantify, and track optimization opportunities across model selection, prompt efficiency, caching, batching, retrieval, commitments, and tooling overlap.
Requirements
- Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role.
- Strong analytical judgment, attention to detail, and ability to explain methodology, assumptions, and results.
- Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, retrieval patterns, and agentic workload behavior.
- Python experience building APIs, data pipelines, normalized datasets, and repeatable automation.
- Strong SQL skills and dashboard-building experience in Power BI or Tableau for technical and finance audiences.
- Comfort using AI-assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline work.
- Automation-first mindset focused on scalable reporting and reduced manual effort.
- Clear written communication that turns complex cost data into concise, actionable narratives.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. 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 Pattern
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.
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.
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.
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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.
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Skills Required
- Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role
- Strong analytical judgment, attention to detail, and ability to explain methodology, assumptions, and results
- Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, retrieval patterns, and agentic workload behavior
- Python experience building APIs, data pipelines, normalized datasets, and repeatable automation
- Strong SQL skills and dashboard-building experience in Power BI or Tableau for technical and finance audiences
- Comfort using AI-assisted development tools such as Codex or Claude
- Automation-first mindset focused on scalable reporting and reduced manual effort
- Clear written communication that turns complex cost data into concise, actionable narratives
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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