Manager/ Senior Manager, Finance Analytics & AI
Snowflake is hiring a Manager/ Senior Manager, Finance Analytics & AI in Menlo Park, United States. It pays $200k-$263k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this finance role: the daily work is on AI products, without building the model.
- Pay on this posting starts 86% higher than the typical finance posting on Level.
- The posting mentions OpenAI, Claude and AI agents among its tools and skills.
- Level classes it as a lead role.
- Snowflake has 354 other open roles on Level.
AI in this role
Manager of Finance Analytics & AI needed to lead development of AI-driven applications and automated financial workflows.
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 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 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, 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
How we rate this
Manager/ Senior Manager, Finance Analytics & AI at Snowflake rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- This job starts at
- $200k
- Typical finance job
- $107k
This posting starts 86% above the typical finance job. See finance jobs
Questions you could be asked
- Tell me about a project where finance analytics was part of your work. What did you do?
- Tell me about a project where data products was part of your work. What did you do?
- Tell me about a project where applied ai was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Finance Analytics, Data Products, Applied AI, Team Leadership, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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