Manager/ Senior Manager, Finance Analytics & AI

At Snowflake, we are powering the era of the agentic enterprise.

To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.

We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.

At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

We’re looking for a Manager/ Sr.

Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate at scale.

This role sits at the intersection of analytics engineering, data product development, and applied AI, and is responsible for building both the team and the systems that power next-generation Finance.

You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Finance operates, makes decisions, and drives efficiency.

This is a highly cross-functional leadership role requiring a balance of strategy, execution, and people leadership.

You’ll partner closely with Finance, business stakeholders, and Engineering to translate ambiguity into durable, production-grade solutions.

In this role, you will:

Set vision and lead execution

Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy.

Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives.

Build and lead a high-performing team

Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders.

Establish best practices across data modeling, experimentation, and product development.

Foster a culture of ownership, speed, and continuous learning.

Own data products end-to-end

Oversee the design, development, and adoption of data products, dashboards, and internal applications used to run Finance.