AI FinOps Analyst — Cost Modeling & Automation

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

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.