Senior FinOps Analyst - AI

LexisNexis; Raleigh (NC); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Flexible hours

Wellbeing initiatives

Shared parental leave

Job summary

LexisNexis Legal & Professional is seeking a Senior FinOps Analyst to lead AI cost measurement, analysis, and optimization across tokens, models, and products. You will partner with engineering, product, and finance to improve visibility, forecasting, and cost efficiency.

You will build scalable data pipelines in Python, maintain trusted datasets, and automate reporting, while communicating cost insights clearly to technical and finance audiences.

Qualifications

• Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role.
• Strong analytical judgment and attention to detail; able to explain methodology and results.
• Experience with AI inference cost drivers (tokens, context length, model tier, caching, retrieval).
• Python experience building APIs, data pipelines, and repeatable automation.
• Strong SQL skills; dashboard-building in Power BI or Tableau for technical/finance audiences.
• Familiarity with AI-assisted development tools (Codex or Claude) to accelerate analysis or pipeline work.
• Automation-first mindset focused on scalable reporting and reducing manual effort.
• Clear written communication turning cost data into concise narratives.

Responsibilities

• Own AI cost modeling and attribution across tokens, models, products, teams, and shared infrastructure.
• Define unit-cost metrics distinguishing 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, anticipated 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

Cloud cost management

Data analytics

Automation mindset

Clear written communication

Tools

Python

SQL

Power BI

Tableau

Codex

Claude

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 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.