Senior FinOps Analyst — AI

LexisNexis; Raleigh (NC); On-site; USD 105,000 - 175,000; Full time

Benefits offered by this job

Flexible hours

Wellbeing initiatives

Shared parental leave

Study assistance

Sabbaticals

Job summary

LexisNexis Legal & Professional is seeking a Senior FinOps Analyst to define how AI costs are measured, analyzed, and optimized across the organization. You will own data, analytics, and reporting that reveal the financial impact of AI adoption.

You will partner with engineering, product, and finance to improve visibility, forecasting, and cost efficiency, with an enablement-focused model that surfaces cost implications early to guide decisions.

Qualifications

• 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 behaviour.
• Python experience building APIs, data pipelines, normalised 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 and 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.

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.

Skills

FinOps

Cost management

Data analytics

Analytical judgment

Python

SQL

Power BI

Tableau

AI tools (Codex/Claude)

Automation

Communication

Tools

Power BI

Tableau

APIs

Data pipelines

Job description

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 behaviour.
• Python experience building APIs, data pipelines, normalised 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 and 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.

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 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.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, colour, creed, religion, sex, nationality, 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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