Role Overview
Drive programs that empower Finance with trusted and secure data, governed and easily discoverable. As a strategic bridge between Google Finance business teams and technical data capabilities, you will architect a modern, AI-ready Data Strategy.
What You Will Do
Partner with Finance units to map end-to-end workflows, diagnose friction, and translate challenges into clear data and product requirements. Own the lifecycle, vision, and roadmaps for core financial data domains, treating datasets and semantic layers as high-value internal data products.
Why It Might Be a Fit
You will lead high-impact programs that translate complex financial workflows into data initiatives and identify agentic use cases that drive true process transformation across Google Finance.
Requirements
- Bachelor’s degree in a quantitative discipline or equivalent practical experience
- 7 years of experience in business intelligence, analytics, or quantitative analysis related fields
- Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript)
- Experience working within Finance domains (e.g., Accounting, FP&A, Treasury) with an understanding of financial compliance and regulatory requirements
- Experience in management or technology consulting, leading data strategy or data architecture re-design
- Proven track record of managing enterprise data governance or digital transformation projects within a large-scale corporate environment
- Familiarity with Google’s technology stack for data processing (e.g., BigQuery, Spanner, F1) and Cloud data architecture
- Excellent communication skills, with the ability to advocate for data-first thinking to both technical and non-technical executives
Benefits
- 15% bonus target
- equity
- benefits
To apply for this job please visit www.google.com.

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