AI Development Strategy Lead

As an AI Strategy Lead, you will be a thought leader and architect, driving the transformation of Google Finance into an Artificial Intelligence (AI)-native organization. You will serve as a high-level advisor to leadership, navigating global stakeholders and engineering teams to align Finance AI priorities into a cohesive roadmap. By bridging the gap between Google’s core AI teams (e.g., Deepmind, Cloud, Core) and the Finance organization, you will ensure technical development directly supports internal business objectives and scales into enterprise-ready AI products for external customers.

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.

Minimum qualifications:

• Master's degree in Statistics, Engineering, Sciences, or a related quantitative field, 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 programming in one of the general programming languages such as Python, Java, Scala, C++.
• Experience building agentic workflows (e.g., orchestrating prompt engineering, state/context management, and utilizing Agent Development Kits/frameworks).
• Experience in Python and SQL.

Preferred qualifications:

• Experience defining technical standards and managing cross functional roadmaps across teams.
• 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.
• Extensive experience architecting scalable enterprise AI solutions and Generative AI pipelines including Google's AI technology stack.
• Proven track record of building multi-tenant SaaS products, modern cloud data platforms, and BI frameworks that reduce technical debt and accelerate developer velocity.
• Deep understanding of corporate finance processes and data products, with hands-on experience integrating complex legacy financial systems.