AI Strategy Lead

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking a senior analytics leader to transform finance data into actionable insights. In this role you will drive AI-enabled decision making by partnering with finance and engineering teams to develop scalable BI solutions and strategic recommendations.

You will work with data from across Google, communicate with senior executives, and help shape how AI-driven processes transform finance programs and operations.

Qualifications

• Master's degree in a quantitative field.
• 7+ years of analytics experience with coding in Python/R/SQL.
• Experience architecting scalable enterprise AI solutions and generative AI pipelines.

Responsibilities

• Learn more about benefits at Google .
• Build developer frameworks to accelerate BI development lifecycle.
• Design and build reusable AI skills, agents, and procedures at AI Platform level.
• Act as strategic finance partner for DeepMind technology with engineering teams.
• Define Finance technical requirements across organizations and deliver outcomes.

Skills

Analytics experience

Python

R

SQL

Statistical analysis

AI pipelines

LLMs

Generative AI

Education

Master's degree

Tools

LangChain

Vertex AI

Google AI stack

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Sunnyvale, CA, USA.

Minimum 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., Large Language Models (LLMs), LangChain, Vertex AI, or autonomous agents.

Preferred qualifications

• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Extensive experience architecting scalable enterprise AI solutions and Generative AI pipelines including Google's AI technology stack.
• Exceptional stakeholder management and communication skills, with a proven ability to navigate ambiguity, influence global leadership, and act as a bridge between core AI researchers, engineers, and non-technical business leaders.

About The Job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

At Google, data drives all of our decision-making. As part of the Finance Data and Analytics (DnA) team, you will use data to inform business, process and product decisions across Google. In this role, you will have the opportunity to transform finance processes using AI. Along with your product team within DnA, you will partner with finance and engineering teams to drive process efficiency and transformation, primarily through agentic and AI solutions.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Build developer frameworks to accelerate and improve the Business Intelligence (BI) development lifecycle and solutions.
• Help design and build highly reusable, complex skills, agents, and procedures at the AI Platform level that can be leveraged across multiple projects and by both technical developers and non-technical finance stakeholders.
• Act as a strategic zeroth finance customer for Deepmind technology, partnering with core engineering teams on early-stage design, usability, and architecture to ensure new features are optimized for complex, real-world deployment scenarios.
• Act as connective tissue between Finance AI developer, CorpEng, Deepmind and Cloud to define Finance technical requirements, aligning cross-organizational roadmaps, resolving ambiguity, and shipping outcomes that serve both internal and external customers.
• Develop scalable, maintainable internal and external software-as-a-service (SaaS) products decoupled from internal dependencies.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .