IT FinOps Analyst

Genesys•Raleigh, NC

7d•$98,600 - $173,400•Hybrid

About The Position

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. Role Overview: The IT Enterprise PMO plays a critical role in ensuring technology investments deliver measurable value across the organization. As an IT FinOps Analyst, you will support cost visibility, allocation, and optimization practices across our cloud and AI environments, enabling teams to understand and manage the true cost of the technology they consume. At Genesys, we're transforming the customer experience landscape with empathy, AI innovation, and global impact. In this role, you will help establish and mature our enterprise IT FinOps practice while translating cloud and AI usage data into actionable financial insights for IT, Finance, and business stakeholders. You will partner with leaders across the organization to improve financial accountability, optimize technology investments, and strengthen governance for cloud and AI services. As AI adoption accelerates across the business, you will help extend FinOps disciplines into AI and machine learning workloads by tracking token and compute consumption, identifying optimization opportunities, and supporting transparent showback practices. This is an exceptional opportunity to work at the intersection of cloud, artificial intelligence, and enterprise financial management while building expertise in one of the fastest-growing disciplines in technology.

Requirements

6 to 8 years of experience in financial analysis, cloud operations, IT finance, or a related analytical role
Experience working with AI cost and usage data, such as Anthropic or OpenAI, and billing and cost management tools
Familiarity with cost allocation concepts such as tagging, showback, and chargeback models
Strong analytical skills with the ability to interpret usage and billing data and translate findings into clear, actionable insights
Proficiency with spreadsheet and reporting tools such as Microsoft Excel, Power BI, or Tableau
Working knowledge of SQL or similar technologies for accessing, querying, and analyzing usage and billing data
Strong written and verbal communication skills with the ability to present financial insights to both technical and non-technical stakeholders
Strong organizational skills with exceptional attention to detail and the ability to manage multiple reporting cycles and deadlines
Ability to collaborate effectively across IT, Finance, and business teams
Bachelor's degree in Finance, Accounting, Information Technology, Business, or a related field

Nice To Haves

FinOps Certified Practitioner (FinOps Foundation) certification or progress toward certification
Experience monitoring or reporting on AI/ML or large language model workload costs, including token consumption, GPU utilization, or inference costs
Familiarity with FinOps platforms such as CloudHealth, Apptio Cloudability, AWS Cost Explorer, Azure Cost Management, or Google Cloud Billing
Experience supporting Enterprise PMO or IT portfolio management reporting processes
Basic scripting or automation experience, such as Python, to streamline recurring cost reporting
Experience with cloud governance frameworks, budget monitoring, or anomaly detection practices
Experience supporting cross-functional stakeholders within a large global enterprise

Responsibilities

Monitor and report on cloud and AI/ML spend across environments, identifying trends, anomalies, and opportunities for cost optimization
Maintain and enforce the organization's tagging and cost allocation strategy across Project, Environment, Workload, Team, and Cost Center dimensions to ensure accurate showback reporting
Prepare regular cost reports and dashboards that give engineering, finance, and business stakeholders visibility into usage patterns, efficiency, and spend trends
Track key FinOps metrics such as cost per token, cost per inference, and resource utilization efficiency to support cost-conscious decision-making across AI and cloud workloads
Review billing statements and usage data across cloud providers and AI platforms to catch discrepancies, anomalies, and untagged or misallocated resources
Support the identification and execution of cost optimization opportunities, including rightsizing recommendations, reserved capacity and commitment tracking, and idle resource cleanup
Partner with IT and platform teams to gather usage data, validate cost allocation, and follow up on optimization actions
Assist in maintaining FinOps tooling, dashboards, and runbooks, ensuring data quality and reporting accuracy
Support the Enterprise PMO by preparing cost and usage inputs for quarterly reviews and governance forums
Help track licensing terms, commitment schedules, and contract renewals within FinOps dashboards
Set up and monitor alerts for unusual increases in usage, such as GPU hours, API calls, or token consumption, that may indicate inefficient or runaway workloads
Document FinOps processes, definitions, and best practices to support consistent cost management practices across teams
Contribute to continuous improvement of FinOps reporting, automation, and governance processes