Enterprise AI Strategy Lead (Generative AI)

Google; Sunnyvale (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Bonus target

Equity

Job summary

Google is seeking a Finance Data and Analytics leader to drive data‑driven decisions across finance, product, and process transformation. You will partner with engineering and finance teams to deliver AI-powered solutions, transforming processes and delivering measurable impact.

You will work with senior executives to synthesize insights, communicate recommendations, and drive adoption of AI‑driven workflows at scale, including enterprise AI architectures and governance across DnA.

Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience architecting scalable enterprise AI solutions and generative AI pipelines (e.g., LLMs, LangChain, Vertex AI, or autonomous agents).

Responsibilities

• Build developer frameworks to accelerate and improve the BI development lifecycle and solutions.
• Help design and build reusable, complex skills, agents, and procedures at the AI Platform level for multiple projects.
• Act as strategic zeroth finance customer for DeepMind technology, partnering with core engineering teams on design and architecture.
• Define Finance technical requirements, align cross‑organizational roadmaps, resolve ambiguity, and ship outcomes.
• Develop scalable, maintainable internal and external SaaS products decoupled from internal dependencies.

Skills

Analytics experience

Python

R

SQL

AI architecture

Education

Master's degree in a quantitative discipline

Tools

LangChain

Vertex AI

Google AI tech stack

Job description

Google is seeking a Finance Data and Analytics leader to drive data‑driven decisions across finance, product, and process transformation. You will partner with engineering and finance teams to deliver AI-powered solutions, transforming processes and delivering measurable impact.

You will work with senior executives to synthesize insights, communicate recommendations, and drive adoption of AI‑driven workflows at scale, including enterprise AI architectures and governance across DnA.