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Manager/ Senior Manager, Finance Analytics & AI

Snowflake Inc.· Data Analytics and AI
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US-CA-Menlo Park$200k - $262.5kFull-timePosted 1mo ago

About the role

Lead Finance Analytics to design scalable data products, AI-driven workflows, and automated solutions that transform Finance operations. Cross-functional leadership at the intersection of analytics engineering, data product development, and applied AI.

Responsibilities

  • 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 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.

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

Skills

Required:SQLCloud Data PlatformsPython or similarData Product DevelopmentAI/LLMs in businessStakeholder Management
Last updated Sep 3, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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