Senior AI FinOps Analyst: Cost Analytics & Automation

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

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.