Manager/ Senior Manager, Finance Analytics & AI

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, BigQuery, 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 development practices.

What Sets You Apart

• Builder + leader mindset: You can set strategy while staying close to the work.
• Product orientation: You think in terms of user adoption, usability, and impact—not just delivery.
• Systems thinker: You design scalable, reusable solutions that stand the test of time.
• Bias for action: You move quickly, iterate, and prioritize impact over perfection.
• AI-forward: You actively explore and apply emerging AI capabilities to unlock new ways of working.
• User obsession: You deeply understand stakeholder needs and design solutions that truly improve their workflows.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com