Snowflake Computing

Manager/ Senior Manager, Finance Analytics & AI

Snowflake Computing$150K — $180K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in analytics, data engineering, BI, or related fields; 2+ years in a management role.
  • Proficient in SQL with experience in building scalable production-grade data models.
  • Familiar with modern cloud data platforms like Snowflake, BigQuery, or Redshift.
  • Strong skills in Python or similar languages for data transformation and automation.
  • Experience with developing data products beyond dashboards, including tools and workflows.
  • Proven track record of applying AI/LLMs to address real-world business challenges.
  • Strong stakeholder management and the ability to influence senior leaders.

Responsibilities

  • Define and drive the roadmap for Finance Analytics in line with business goals.
  • Translate business challenges into scalable AI solutions and data products.
  • Build and lead a high-performing analytics team.
  • Design and oversee the development of finance-related data applications.
  • Lead the development of AI-driven workflows to enhance finance operations.
  • Ensure quality, well-modeled datasets in collaboration with Data Engineering.
  • Deliver actionable insights to influence high-level strategic decisions.

Benefits

  • Comprehensive healthcare coverage.
  • 401(k) retirement savings plan with company match.
  • Professional development and training opportunities.
  • Flexible work arrangements to support work-life balance.
Full Job Description
We9re 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 won9t just deliver dashboards-you9ll 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. You9ll 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, 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.


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

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

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