Senior FinOps Analyst - AI

TEKsystems; United States; Remote; USD 96,000 - 110,000; Full time

Benefits offered by this job

Fully remote

Job summary

TEKsystems seeks a Senior FinOps Analyst to own AI cost data and analysis, extend cost models, and build pipelines that support understanding spend across LLM-based products. You will produce actionable insights and help teams optimize spend as adoption grows.

This fully remote role is a Contract to Hire, based out of Cary, NC, offering $70–$80 hourly pay and opportunities to influence governance and cost literacy across teams.

Qualifications

• 6-9 years of experience in FinOps, cloud cost management, technology finance, data analytics, or a closely related analytical role.
• Strong analytical judgment and attention to detail. You are comfortable producing analysis that may be used in leadership discussions, and you can clearly explain methodology, assumptions, and results.
• AI and token literacy. You understand what drives inference cost — including input and output tokens, context length, model tier, caching, retrieval patterns, and why agentic workloads can behave differently from request‑response workloads.
• Python skills sufficient to build and maintain data pipelines, including pulling data from APIs, normalizing complex datasets, and automating repetitive work
• Strong SQL and hands‑on dashboard building in Power BI or Tableau for both engineering and finance audiences
• Comfort using AI‑assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline development
• A strong automation mindset. You look for opportunities to reduce manual effort through tooling, repeatable processes, and scalable reporting practices.
• Strong follow‑through. You can manage multiple workstreams across teams, track issues to closure, and communicate progress clearly.
• Clear written communication. You can translate complex consumption data into concise, accurate narratives that stakeholders can understand and act on.

Responsibilities

• Extend and operate AI cost models across products and shared infrastructure.
• Solve attribution cases: shared endpoints, multi-tenant workloads, internal platform services.
• Define and track unit-cost metrics for easy interpretation of cost trends.
• Maintain data accuracy, lineage, and explainability of underlying data.
• Build and maintain Python pipelines pulling telemetry from model provider APIs, AI platform services, and cloud billing.
• Automate recurring reporting and month-end close processes as usage and spend scale.
• Establish anomaly detection with practical thresholds and escalation paths.
• Own the BI layer in Power BI or Tableau for engineering and finance audiences.
• Investigate cost movements and provide evidence-based explanations of changes.
• Identify optimization opportunities and quantify trade-offs across model options.
• Track realized savings against a baseline and support spend forecasting and budgeting.
• Collaborate with product and engineering teams; mentor the second AI FinOps seat.

Skills

FinOps

Cloud cost

Data analytics

Python pipelines

SQL

Power BI

Tableau

AI tooling

Automation mindset

Communication

Tools

Azure OpenAI

AWS Bedrock

Vertex AI

Anthropic

OpenAI

Job description

Description

About the role

We use AI across a growing portfolio of LLM-based products, and demand continues to increase. As that usage scales, understanding AI spend — where it is going, what is driving it, and which product areas are operating efficiently — has become an important discipline. We are building a team focused on bringing clarity, accountability, and actionable insight to that space.

This Senior FinOps Analyst role will be a key analytical position on that team. You will own the data and analysis behind our AI cost landscape, including extending cost and attribution models, building the pipelines that support them, producing insights that help teams understand the financial impact of their technical decisions, and identifying opportunities to optimize spend as adoption grows.

What you will do

Cost modeling and attribution

• Extend and operate our AI cost models — attributing spend at token, model, product, and team level across multiple LLM-based products and shared infrastructure


• Solve the hard attribution cases: shared endpoints, multi-tenant workloads, and internal platform services consumed by several products


• Define and track unit-cost metrics that make spend easier to interpret — cost per request, workflow, active user, or product — so teams can distinguish growth in usage from changes in efficiency


• Maintain the accuracy, lineage, and explainability of the underlying data so reported figures can be clearly supported

Data pipelines and automation

• Build and maintain Python pipelines that pull consumption telemetry from model provider APIs, AI platform services, and cloud billing, and normalize it into a single trusted dataset


• Automate recurring reporting and month-end close processes so manual effort decreases as usage and spend scale


• Establish anomaly detection with practical thresholds and clear escalation paths to identify unexpected cost increases before they become month-end surprises


• Own the BI layer in Power BI or Tableau, creating dashboards that are practical for engineering teams and credible for Finance stakeholders

Analysis and optimization

• Investigate cost movements and produce clear, evidence-based explanations of what changed, why it changed, whether it is expected, and what it means going forward


• Identify and quantify optimization opportunities: model right-sizing, prompt and context efficiency, caching and batching, retrieval tuning, capacity commitments, redundant tooling


• Quantify cost, quality, and latency trade-offs across model options so product teams can evaluate alternatives using reliable data rather than intuition alone


• Track realized savings against a documented baseline


• Support AI spend forecasting and budget cycles with the underlying analysis and variance explanation

Governance support

• Provide data and analysis that support governance decisions and enforcement, while policy decisions remain with leadership


• Maintain tagging and metadata standards that enable accurate attribution, and identify and resolve gaps that affect attribution quality


• Surface cost outliers and high-cost model choices early, framed as decision support for teams rather than as an approval gate


• Support license and subscription rationalization across AI and AI‑adjacent tooling by identifying overlap, unused capacity, and unattributed spend

Partnership

• Work directly with product and engineering teams so cost is considered during design rather than discovered after implementation


• Build cost literacy across consuming teams by helping them understand what drives spend and which levers they can control


• Contribute analysis and input to leadership reporting, and help shape how the team's methodology evolves


• Help define and, over time, mentor the second AI FinOps seat on the team

What we are looking for

Required

• 6-9 years of experience in FinOps, cloud cost management, technology finance, data analytics, or a closely related analytical role


• Strong analytical judgment and attention to detail. You are comfortable producing analysis that may be used in leadership discussions, and you can clearly explain methodology, assumptions, and results.


• AI and token literacy. You understand what drives inference cost — including input and output tokens, context length, model tier, caching, retrieval patterns, and why agentic workloads can behave differently from request‑response workloads.


• Python skills sufficient to build and maintain data pipelines, including pulling data from APIs, normalizing complex datasets, and automating repetitive work


• Strong SQL and hands‑on dashboard building in Power BI or Tableau for both engineering and finance audiences


• Comfort using AI‑assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline development


• A strong automation mindset. You look for opportunities to reduce manual effort through tooling, repeatable processes, and scalable reporting practices.


• Strong follow‑through. You can manage multiple workstreams across teams, track issues to closure, and communicate progress clearly.


• Clear written communication. You can translate complex consumption data into concise, accurate narratives that stakeholders can understand and act on.

Preferred

• FinOps Certified Practitioner, or familiarity with the FinOps Framework and the FOCUS billing data specification


• Hands‑on experience with AI model provider or cloud AI cost and usage tooling, such as Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, or OpenAI


• Experience attributing shared or multi‑tenant infrastructure cost across several products


• Familiarity with OpenTelemetry GenAI semantic conventions or similar usage‑telemetry standards


• Prior experience in a fast‑scaling cost environment where processes, tooling, and reporting matured alongside growth

Job Type & Location

This is a Contract to Hire position based out of Cary, NC.

Pay and Benefits

The pay range for this position is $70.00 - $80.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:

• Medical, dental & vision


• Critical Illness, Accident, and Hospital


• 401(k) Retirement Plan - Pre-tax and Roth post‑tax contributions available


• Life Insurance (Voluntary Life & AD&D for the employee and dependents)


• Short and long‑term disability


• Health Spending Account (HSA)


• Transportation benefits


• Employee Assistance Program


• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Sep 25, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real‑world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full‑stack capabilities and speed. We’re strategic thinkers, hands‑on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using application AI tools.