## About the Role
ASM is seeking an AI Financial Operations Specialist II to help improve transparency, accountability, and insight into the company’s AI investments. This role sits within the Value Realization Office and supports the development of AI Financial Operations practices that connect AI consumption and spending to business value.
You will work closely with Finance, Procurement, Data & AI Intelligence, Digital & AI Services, Infrastructure & Cloud, and business stakeholders. The role focuses on reporting, forecasting, governance, and optimization to help the organization make informed decisions about AI-related costs and value realization.
A key part of the position is building visibility into AI usage across models, copilots, agents, cloud services, data platforms, licenses, and vendor solutions. The work also includes supporting cost allocation, budget tracking, and commercial reviews to strengthen financial control over AI investments.
## Key Responsibilities
– Support the development and ongoing improvement of AI Financial Operations processes, standards, and reporting
– Track AI-related costs and usage across models, copilots, agents, cloud services, data platforms, licenses, and vendor solutions
– Help define cost attribution and allocation approaches
– Support showback and chargeback processes
– Contribute to AI-related planning, budgeting, and business case activities
– Monitor consumption and spending trends across AI platforms and services
– Identify cost drivers, anomalies, optimization opportunities, and risks
– Build and maintain financial reports, dashboards, and forecasts
– Support budget tracking and variance analysis
– Work with technical teams to identify efficiency improvements and spending optimization opportunities
– Help develop reusable financial models and benchmarks for common AI solution patterns
– Partner with business stakeholders to define cost baselines, value assumptions, and success measures
– Track adoption, spending, and realized benefits across AI initiatives
– Prepare insights and recommendations for investment and governance discussions
– Contribute to reporting on costs, forecasts, adoption metrics, risks, and optimization opportunities
– Support data accuracy and consistency across reporting processes
– Review AI pricing models, licensing structures, and vendor commercial arrangements
– Assist in evaluating the total cost of ownership of AI-enabled solutions
– Stay current on AI technologies, pricing trends, and industry best practices
## Required Skills
– Bachelor’s degree in Finance, Economics, Business, Information Systems, or a related field
– At least 3 years of experience in Financial Operations, technology finance, financial planning and analysis, IT financial management, cost management, or a related area
– Experience supporting financial reporting, forecasting, budgeting, or cost management in a global organization
– Knowledge of consumption-based technology cost models, including cloud services, software licensing, data platforms, and AI-related services
– Experience analyzing financial data and interpreting complex usage, billing, or cost information
– Strong analytical and problem-solving skills
– High level of accuracy and attention to detail
– Experience preparing reports and communicating insights to business and technical stakeholders
– Ability to collaborate across Finance, Procurement, Technology, and business teams
– Strong written and verbal communication skills
## Preferred Skills
– Experience supporting Financial Operations or cloud financial management programs
– Familiarity with AI technologies and their cost drivers, including models, agents, cloud infrastructure, and data services
– Experience with showback, chargeback, cost allocation, or value realization practices
– Experience in a semiconductor, engineering, or high-tech manufacturing environment
– Professional certifications related to finance, accounting, financial analysis, cloud financial management, or Financial Operations
– Ability to improve processes, create structure, and drive continuous improvement in a changing environment
## FinOps Responsibilities
– Improve transparency into AI consumption and costs
– Support cost attribution and allocation methods
– Contribute to showback and chargeback processes
– Track spending, adoption, and realized benefits
– Support budget tracking, variance analysis, and forecasting
– Identify optimization opportunities and cost risks
– Evaluate total cost of ownership for AI-enabled solutions
– Support governance discussions with data-driven insights
– Help establish baselines, value assumptions, and success measures
## Cloud Platforms & Technologies
### Cloud Providers
– Cloud services
– Infrastructure & Cloud
### FinOps Platforms
– AI Financial Operations
– Financial Operations
### Data & Analytics
– Data platforms
– Dashboards
– Reporting
– Forecasting
### AI / Technology Domains
– AI models
– Copilots
– Agents
– AI technologies
– AI-enabled solutions
– AI-related services
### Commercial / Financial Domains
– Software licensing
– Vendor solutions
– Pricing models
– Cost allocation
– Chargeback
– Showback
– Total cost of ownership
## Why You Might Be Interested
This role offers the opportunity to work at the intersection of AI, finance, and technology operations within a global organization. It is a strong fit for someone who enjoys turning complex usage and cost data into clear business insight and practical recommendations. The position also provides exposure to cross-functional collaboration with Finance, Procurement, and technical teams. For candidates interested in building structure and governance around emerging AI investments, this is a meaningful and high-impact opportunity.
## Useful Links
– Company Website: https://asm.com
– LinkedIn: https://www.linkedin.com/company/asm/

