Senior FinOps Analyst - AI, Flexible Hours

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

Job summary

LexisNexis Legal & Professional in Raleigh seeks a Senior FinOps Analyst to shape how AI costs are measured, analyzed, and optimized. You will own data, analytics, and reporting that reveal the financial impact of AI adoption and support scalable decision making.

You will partner with engineering, product, and finance to improve visibility, forecasting, and cost efficiency, building Python pipelines and dashboards to turn usage metrics into actionable insights.

Qualifications

• Experience in FinOps, cloud cost management, or technology finance.
• Strong analytical judgement, attention to detail, and ability to explain methodology and results.
• Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, and retrieval patterns.
• 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 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

Cloud cost mgmt

Data analytics

Python

SQL

BI dashboards

Automation

Communication

Tools

Power BI

Tableau

Codex

Claude

Job description

LexisNexis Legal & Professional in Raleigh seeks a Senior FinOps Analyst to shape how AI costs are measured, analyzed, and optimized. You will own data, analytics, and reporting that reveal the financial impact of AI adoption and support scalable decision making.

You will partner with engineering, product, and finance to improve visibility, forecasting, and cost efficiency, building Python pipelines and dashboards to turn usage metrics into actionable insights.