FinOps Governance team at Global Cloud Services organization is looking to optimize financial efficiency and unlock value from cloud and AI investments
Requirements
- Proficiency in Python (R, or similar) for data manipulation, analysis and automation
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
- Familiarity with modern AI technologies and their enterprise applications
- Experience in data modeling and working with time-series data
- Hands-on experience with public cloud platforms (AWS, GCP, or Azure)
- Background in financial analysis, preferably in the technology or AI sector
- FinOps Certified Practitioner or public cloud certification
Responsibilities
- Track AI usage trends and analyze data to uncover inefficiencies and identify opportunities for improvement
- Build automations to streamline cost and usage analysis, as well as forecasting
- Turn data into actionable insights by managing and optimizing data retrieval, administration, and automation
- Maintain accurate, centralized repositories to ensure consistent reporting and analytics
- Support budgeting and financial planning processes for AI initiatives
- Leverage in-house models to forecast multiple scenarios for AI project costs and benefits
- Stay current on cloud and AI pricing models, market trends, and industry benchmarks to inform cost optimization strategies
Other
- 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD with without experience in science, statistics, finance, business, or a related field; or equivalent work experience
- Ability to work collaboratively in a fast-paced, dynamic environment
- Strong analytical and problem-solving skills with attention to detail
- Previous experience in a FinOps or cloud financial management role
- Travel requirements not specified
