## About the Role

The IT Enterprise PMO is responsible for ensuring technology investments create measurable business value. As an IT FinOps Analyst, you will help improve visibility into cloud and AI spend, support accurate allocation, and identify opportunities to reduce waste across cloud and AI environments.

You will partner with IT, Finance, and business stakeholders to translate usage data into clear financial insight and stronger governance. The role also extends FinOps practices into AI and machine learning workloads by tracking token and compute consumption, supporting showback, and identifying optimization opportunities.

## Key Responsibilities

– Monitor cloud and AI/ML spend, highlighting trends, anomalies, and cost optimization opportunities.
– Maintain tagging and cost allocation standards across Project, Environment, Workload, Team, and Cost Center dimensions.
– Produce recurring cost reports and dashboards for engineering, finance, and business stakeholders.
– Track metrics such as cost per token, cost per inference, and resource utilization efficiency.
– Review billing and usage data to identify discrepancies, untagged resources, and misallocations.
– Support optimization efforts, including rightsizing, commitment tracking, reserved capacity, and idle resource cleanup.
– Collaborate with IT and platform teams to validate allocations and follow up on optimization actions.
– Maintain FinOps tooling, dashboards, runbooks, and reporting accuracy.
– Prepare cost and usage inputs for quarterly reviews and governance forums.
– Track licensing terms, commitment schedules, and contract renewals.
– Set up alerts for unusual usage spikes, including GPU hours, API calls, and token consumption.
– Document FinOps processes and contribute to reporting, automation, and governance improvements.

## Required Skills

– 6–8 years of experience in financial analysis, cloud operations, IT finance, or a related analytical role.
– Experience working with AI cost and usage data, including Anthropic or OpenAI, and billing/cost management tools.
– Familiarity with tagging, showback, and chargeback concepts.
– Strong analytical ability to interpret usage and billing data and turn it into actionable insight.
– Proficiency with Microsoft Excel, Power BI, or Tableau.
– Working knowledge of SQL or similar technologies.
– Strong written and verbal communication skills.
– Strong organization, attention to detail, and the ability to manage multiple deadlines.
– Ability to collaborate across IT, Finance, and business teams.
– Bachelor’s degree in Finance, Accounting, Information Technology, Business, or a related field.

## Preferred Skills

– FinOps Certified Practitioner certification, or progress toward it.
– Experience reporting on AI/ML or large language model workload costs, including token consumption, GPU utilization, or inference costs.
– Familiarity with CloudHealth, Apptio Cloudability, AWS Cost Explorer, Azure Cost Management, or Google Cloud Billing.
– Experience supporting Enterprise PMO or IT portfolio management reporting.
– Basic scripting or automation experience, such as Python.
– Exposure to cloud governance, budget monitoring, or anomaly detection practices.
– Experience working with stakeholders in a large global enterprise.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Azure
– Google Cloud

### AI Platforms
– Anthropic
– OpenAI

### FinOps Platforms
– CloudHealth
– Apptio Cloudability
– AWS Cost Explorer
– Azure Cost Management
– Google Cloud Billing

### Programming Languages
– SQL
– Python

### Reporting & BI
– Microsoft Excel
– Power BI
– Tableau

## FinOps Responsibilities

– Track and report cloud and AI spend across environments.
– Improve cost allocation and showback accuracy through tagging governance.
– Analyze usage data to identify anomalies, inefficiencies, and optimization opportunities.
– Support rightsizing, reserved capacity, commitment management, and idle resource reduction.
– Monitor AI-specific consumption metrics such as token, inference, API call, and GPU usage.
– Provide inputs for governance reviews and cost reporting.
– Maintain alerts, dashboards, tooling, and documentation to improve reporting quality and process consistency.

## Benefits

– Medical, dental, and vision insurance
– Telehealth coverage
– Flexible work schedules and work-from-home opportunities
– Development and career growth opportunities
– Open Time Off plus 10 paid holidays
– 401(k) matching
– Adoption assistance
– Fertility treatments
– Paid volunteer time
– August Free Fridays
– Well-being resources
– Regionally tailored employee and family programs

## Compensation

– Base salary range: $98,600–$173,400
– May also be eligible for commission or performance-based bonus opportunities

## Useful Links

– Company Website: www.genesys.com

## Why You Might Be Interested

This role sits at the intersection of cloud, AI, and financial management, with responsibility for improving cost visibility and allocation across enterprise environments. It offers the chance to help mature an internal FinOps practice and support governance around technology spend. The work includes reporting, optimization, and collaboration with IT, Finance, and business stakeholders. It may appeal if you want direct exposure to AI workload economics and enterprise cost management.