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Snowflake

Runs a cloud platform for business data and AI

Manager/Senior Manager - Finance Analytics & AI

Data EngineeringConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$200k - $262.5k /yrIn-person

About the Job

Requirements

  • At least 8 years of experience in analytics, data engineering, business intelligence, or a related field, including at least 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 a similar programming language for data transformation, automation, or application development.
  • Experience building data products, including tools, applications, or workflows used in business operations, beyond dashboards.
  • Demonstrated experience applying AI or large language models such as Cortex, OpenAI, or Claude to real business problems.
  • Experience supporting Finance organizations.
  • Experience using stakeholder management and communication skills to influence senior leaders.

Responsibilities

  • Define and drive the Finance Analytics roadmap in alignment with business priorities and long-term data strategy.
  • Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives.
  • Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders.
  • Establish best practices across data modeling, experimentation, and product development, and foster a culture of ownership, speed, and continuous learning.
  • Oversee the design, development, and adoption of data products, dashboards, and internal applications used to run Finance, ensuring they are scalable, reliable, and embedded in business workflows.
  • Lead development of intelligent workflows, including automation, copilots, agents, and decision-support tools, to increase leverage across Finance.
  • Identify high-impact opportunities to apply AI and automation to core financial and operational processes.
  • Partner with Data Engineering to ensure datasets are high-quality, well-modeled, and governed.
  • Establish standards for data quality, documentation, and discoverability.
  • Deliver actionable insights and shape strategic decisions through data.
  • Act as a thought partner to Finance leadership and provide a data-driven perspective.
  • Identify inefficiencies and drive system- and process-level improvements.
  • Implement scalable solutions instead of one-off analyses.

Desired Qualifications

  • Experience with enterprise resource planning, financial planning, or business planning systems.
  • Background supporting finance, business operations, or analytics teams.
  • Familiarity with agile development practices.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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