# Expert / Principal Operations Finance Analyst – AI Value Delivery & FinOps

## About the Role
The Expert / Principal Operations Finance Analyst will focus on financial analysis and strategy for AI initiatives within PG&E’s IT portfolio. This position is vital for ensuring that investments in AI translate into measurable business value. The successful candidate will work closely with various teams, including IT, AI product development, accounting, and business finance, to evaluate and optimize AI opportunities across the development lifecycle.

This role emphasizes transforming AI activities into tangible financial outcomes by applying rigorous financial analysis and establishing repeatable frameworks for decision-making. The collaboration will ensure that cost governance is maintained, and value is consistently realized from AI investments.

## Key Responsibilities
– **AI Value Delivery and Business Case Ownership**
– Lead finance support for AI business cases, ensuring full documentation of costs, benefits, assumptions, and risks.
– Develop metrics and analyses (ROI, NPV, sensitivity) for AI initiatives and establish routines for benefit tracking against actual outcomes.

– **AI FinOps, Tokenomics, and Usage Optimization**
– Build financial models for AI consumption, focusing on cost implications and usage patterns.
– Collaborate with IT and AI engineering teams to enhance cost-effectiveness and create financial transparency regarding AI consumption.

– **Accounting, Governance, and Standards**
– Partner with relevant stakeholders to determine the appropriate capital vs. expense treatment for AI-related costs.
– Create governance routines and standards for financial reviews related to AI initiatives.

– **Planning, Forecasting, and Business Partnership**
– Develop multi-year forecasts for AI projects, advising on expenditure and operational requirements.
– Support planning and reporting for AI-related IT spending, preparing insights for leadership teams.

## Required Skills
– Bachelor’s degree in Finance, Accounting, Economics, Business, Information Systems, or related fields.
– Minimum of 6 years of experience in FP&A, technology finance, investment analysis, or FinOps.
– Ability to build financial models and effectively communicate financial insights to cross-functional teams.
– Strong understanding of financial planning, forecasting, budgeting, and governance.

## Preferred Skills
– MBA, CPA, CFA, or relevant financial certification.
– Experience in IT, cloud technologies, or AI-driven projects.
– Knowledge of financial models specific to AI operations and vendor cost structures.

## Cloud Platforms & Technologies
– **Cloud Providers**: Not specified.
– **FinOps Platforms**: Not specified.
– **Programming Languages**: Not specified.
– **Infrastructure as Code**: Not specified.
– **Containers & Kubernetes**: Not specified.
– **CI/CD**: Not specified.
– **Monitoring**: Not specified.
– **Databases**: Not specified.
– **Data & Analytics**: Not specified.
– **Reporting & BI**: Not specified.
– **Collaboration Tools**: Not specified.

## FinOps Responsibilities
– Connect AI consumption patterns to business outcomes through effective cost management and optimization strategies.
– Ensure financial transparency in AI usage, developing KPIs and standards for cost tracking.

## Benefits
– Competitive compensation package.
– Hybrid work environment.
– Opportunities for professional development.
– Comprehensive health and wellness programs.

## Useful Links
– [Company Website](https://www.pge.com)
– [Careers](https://www.pge.com/careers)
– [LinkedIn](https://www.linkedin.com/company/pgande)

## Why You Might Be Interested
This role provides a unique opportunity to merge financial acumen with cutting-edge AI technologies, playing a crucial part in shaping the financial landscape of AI initiatives within a leading utility company. You will have the chance to work with diverse teams, influence investment decisions, and ensure that AI contributes effectively to organizational goals.