Hybrid FinOps AI Data Platform Principal

PG&E

Oakland (CA)

Hybrid

USD 140,000 - 238,000

Full time

10 days ago

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Job summary

PG&E is seeking an experienced FinOps Data Principal to design, build, and scale a core FinOps Data Platform that powers AI telemetry, reporting, cloud allocation, forecasting, and optimization. You will enable enterprise-wide visibility into cloud and GenAI consumption by building governed data products and standardized showbacks.

The role supports hybrid work from a remote office with in-person presence at the Oakland Corporate Office 1–2x per week, or as needed by business requirements.

Qualifications

  • BA/BS in computer science, MIS, or related field or equivalent work experience.
  • 10 years in data engineering/ETL across multiple ecosystems.
  • 3 years deploying ML models and ML operations.
  • Experience leading development teams.

Responsibilities

  • Build and scale the FinOps data platform and AI telemetry integrations.
  • Translate complex cost, billing, and tokenomics data into scalable data models.
  • Enable metadata ingestion, FinOps Data Lake integration, and cost showback foundations.
  • Standardize and automate FinOps reporting, anomaly detection, and optimization insights.
  • Expand data pipelines for Snowflake, PowerBI, and cloud cost data sources.
  • Maintain AI usage telemetry and unit economics datasets.
  • Automate data quality checks and consumption trend data for cloud/AI spend.

Skills

Data engineering
Cloud & FinOps
AI telemetry
Modern data stack
Financial data modeling

Education

BS/BA in CS or Data Eng; MS preferred
FOCUS certification desired

Tools

Snowflake
Databricks
BigQuery
Redshift

Job description

PG&E is seeking an experienced FinOps Data Principal to design, build, and scale a core FinOps Data Platform that powers AI telemetry, reporting, cloud allocation, forecasting, and optimization. You will enable enterprise-wide visibility into cloud and GenAI consumption by building governed data products and standardized showbacks.

The role supports hybrid work from a remote office with in-person presence at the Oakland Corporate Office 1–2x per week, or as needed by business requirements.

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