AI Strategy Lead

Google; United States; Hybrid; USD 192,000 - 278,000; Full time

Job summary

Google's leadership team hand-picks thorny business challenges, and BizOps teams work in small groups to find solutions, immersing in data collection, drawing insights to develop synthesized recommendations.

Taking strategy one step further, you communicate recommendations to senior executives, drive implementation, and check back-in to see impact of your recommendations.

Qualifications

• Master's degree in a quantitative discipline or equivalent
• 7 years of experience using analytics to solve product or business problems, coding (Python, R, SQL) and querying databases
• Experience architecting scalable enterprise AI solutions and generative AI pipelines

Responsibilities

• Build developer frameworks to accelerate BI development lifecycle
• Design and build reusable skills, agents, and procedures at AI Platform level
• Act as strategic zeroth finance customer for Deepmind technology with engineering teams
• Define Finance technical requirements across cross-organizational roadmaps
• Develop scalable internal and external SaaS products decoupled from internal dependencies

Skills

Analytics

Python/R/SQL

AI strategy

Stakeholder management

Education

Master's degree

Tools

LangChain

Vertex AI

Job description

AI Strategy Lead

Google

Chicago, IL, USA; Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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

Learn more about benefits at Google.

Responsibilities

• 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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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