Requisition ID # 175159
Job Category: Information Technology
Job Level: Manager/Principal
Business Unit: Technology & Security
Work Type: Hybrid
Job Location: Oakland
Department SummaryTechnology & Security designs, develops, operates, and maintains PG&E's technology, telecommunications, and security capabilities that enable the company to meet its commitment to providing safe, reliable, and affordable service to customers.
Technology & Security partners with the business to strengthen capabilities through the development of new functionality, the implementation of modern and secure technologies, and the continuous improvement of systems and services. By reducing risk, increasing productivity, managing costs, and enabling organizational effectiveness, Technology & Security helps advance PG&E's strategic priorities through trusted, innovative, and secure solutions.
Position SummaryWithin the Technology & Security Organization, the FinOps AI Data Principal will design, build, and scale the core FinOps Data Platform. This platform powers AI telemetry, scalable reporting, cloud allocation, forecasting, optimization, and comprehensive AI cost visibility. You will enable enterprise-wide visibility into cloud and generative AI consumption by building trusted data pipelines, robust data models, and standardized, governed FinOps data products. You will enables AI showback/chargeback readiness, forecasting, anomaly detection, unit economics, and optimization insights through standardized, governed FinOps data products.
The HQ location is flexible within the Bay Area Region and will be agreed upon by the hiring leader and successful candidate. The position is hybrid working from your remote office and in-person at the Oakland Corporate Office 1-2x per week or based on business needs or company requirements.
Job Responsibilities- Build and enhance the FinOps data set, data model, reporting pipeline, and AI usage/cost telemetry integrations.
- Translate billing, allocation, tokenomics, AI Gateway, AI DLC Tool, AI Agent Tool, LLM, workspace, user, AppID, use-case, order-number, model-provider, and model-name requirements into scalable data and reporting capabilities.
- Enable mandatory metadata ingestion, FinOps Data Lake integration, FOCUS-aligned AI data modeling, full-cost showback dependencies, and AI chargeback reporting foundations.
- Standardize, simplify, and automate FinOps reporting, AI showback/chargeback views, optimization insights, anomaly detection inputs, and process workflows.
- Expand data engineering capacity for Snowflake, PowerBI, Flexera, AI Gateway, external AI usage sources, and cloud provider cost data pipelines.
- Build and maintain AI usage telemetry, tokenomics data sets, allocation logic, unit economics inputs, and AI showback/chargeback reporting foundations.
- Automate data quality checks, reporting refreshes, anomaly detection inputs, optimization insight pipelines, and consumption trend data for cloud and AI spend.
- Support inventory and data capture for LLM usage outside the Enterprise AI Gateway, including known external GenAI and SageMaker use cases.
QualificationsMinimum:
- BA/BS in computer science, management information systems, or related field of study, or equivalent work experience
- 10 years of experience with multiple data engineering/ETL ecosystems
- 3 years of experience in machine learning algorithm deployment and machine learning operations
- Experience in leading development teams
Desired Knowledge, Skills, and Abilities:
- Data Engineering Expertise: 5+ years of experience building production-grade, distributed data pipelines
- Cloud & FinOps Proficiency: Deep knowledge of multi-cloud billing mechanics (AWS CUR, Azure FOCUS datasets) and FinOps Framework principles.
- AI Telemetry Experience: Proven experience tracking and modeling AI infrastructure costs, including LLM API usage, GPU clusters (e.g., NVIDIA Triton, Kubernetes), and vector database spend.
- Modern Data Stack Mastery: Hands-on experience with cloud data warehouses and lakehouses such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Financial Data Modeling: Strong background in designing schemas for complex financial allocation, amortization, shared-cost showback, and forecasting.
- Education & Certification: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field; FinOps Foundation Certified (FOCUS) and Professional designation desired.
CompensationPG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint of the range. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
- Bay Area Min $140,000
- Bay Area Mid: $189,000
- Bay Area Max: $238,000
Purpose, Virtues and StandsOur
Purpose explains "why" we exist:
- Delivering for our hometowns
- Serving our planet
- Leading with love
Our
Virtues capture "who" we need to be:
- Trustworthy
- Empathetic
- Curious
- Tenacious
- Nimble
- Owners
Our
Stands are "what" we will achieve together:
- Everyone and everything is always safe
- Catastrophic wildfires shall stop
- It is enjoyable to work with and for PG&E
- Clean and resilient energy for all
- Our work shall create prosperity for all customers and investors
More About Our Company
EEOPacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link:
Employee Privacy Notice PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.
