Finance Data Strategy Lead: AI-Driven Programs

Google; Chicago (IL); On-site; USD 148,000 - 214,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google seeks a Data Program Manager for Data Strategy, located in Sunnyvale, CA or Chicago, IL. You will bridge Finance business teams with data capabilities to architect a modern, AI-ready data strategy and treat financial data domains as scalable products.

You will drive end-to-end data roadmaps for LLMs, predictive models, and agents, ensuring SOX/GDPR-compliant governance and delivering measurable ROI across Google Finance.

Qualifications

• 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. Python, R, JavaScript).

Responsibilities

• Partner with Finance units (FP&A, Treasury, Tax, Accounting) to map end-to-end workflows and translate challenges into data/product requirements.
• Own lifecycles, vision, and roadmaps for core financial data domains as high-value internal data products.
• Define data roadmaps to feed LLMs, predictive models, and autonomous agents with clean financial data.
• Collaborate with Finance SMEs and Data Engineering to define unified taxonomies, KPIs, and robust data governance (SOX & GDPR).
• Oversee modernization programs, measure efficiency, accuracy, and ROI while driving tool adoption.

Skills

SQL programming

Additional programming language

Education

Bachelor's degree in quantitative discipline

Master’s degree in technical or business-analytical field

Tools

BigQuery

Spanner

F1

Job description

Google seeks a Data Program Manager for Data Strategy, located in Sunnyvale, CA or Chicago, IL. You will bridge Finance business teams with data capabilities to architect a modern, AI-ready data strategy and treat financial data domains as scalable products.

You will drive end-to-end data roadmaps for LLMs, predictive models, and agents, ensuring SOX/GDPR-compliant governance and delivering measurable ROI across Google Finance.