Senior Manager, Finance Analytics & AI

Senior Manager, Finance Analytics

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 Senior Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate s 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.
• Ensure solutions are scalable, reliable, and deeply embedded in business workflows.

Drive AI-powered transformation

• Lead the development of intelligent workflows, such as automation, copilots, agents, and decision-support tools, that increase leverage across Finance.
• Identify high-impact opportunities to apply AI and automation to core financial and operational processes.

Strengthen the data foundation

• Partner with Data Engineering to ensure high-quality, well-modeled, and governed datasets.
• Establish standards for data quality, documentation, and discoverability.

Influence decision-making at scale

• Deliver actionable insights and shape strategic decisions through data.
• Act as a thought partner to Finance leadership, bringing a data-driven perspective.

Champion operational excellence

• Identify inefficiencies and drive system- and process-level improvements.
• Implement scalable solutions over one-off analyses.

What You Will Need

Required Qualifications

• 8+ years of experience in analytics, data engineering, BI, or related fields, with 2+ years in a people management role.
• Deep expertise in SQL and building scalable, production-grade data models.
• Experience with modern cloud data platforms, such as Snowflake, Big Query, or Redshift.
• Strong proficiency in Python, or similar programming languages, for data transformation, automation, or application development.
• Experience building data products, not just dashboards, including tools, apps, or workflows used in business operations.
• Demonstrated experience applying AI/LLMs, such as Cortex, OpenAI, Claude, or similar technologies, to real business problems.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience supporting Finance organizations.

Preferred Skills

• Experience with ERP, financial planning, or business planning systems.
• Background supporting finance, business operations, or analytics teams.
• Familiarity with agile…