Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
SaaS companies increasingly treat internal functions like Accounting as data-driven operating systems, and this role sits directly in that shift. At a cloud data platform company, the mandate to build analytics, automation, and applied AI into core finance workflows reflects how modern SaaS businesses scale governance and decision-making without relying on manual processes.
For a SaaS career, the standout value is the chance to lead “data products” for an internal domain with clear users, recurring workflows, and measurable adoption. Experience here translates across subscription businesses that need reliable metrics, controlled datasets, and automation around close, reporting, and audit readiness. The remit also builds fluency in bridging analytics engineering and product thinking, a combination that is increasingly common in mature SaaS data organizations.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 Senior Manager to lead Accounting Analytics—redefining how Accounting 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 Accounting.
You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Accounting 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 Accounting, Finance, 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 Accounting 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 Accounting
Ensure solutions are scalable, reliable, and deeply embedded in business workflows
Drive AI-powered transformation
Lead the development of intelligent workflows (e.g., automation, copilots, agents, decision-support tools) that increase leverage across Accounting
Identify high-impact opportunities to apply AI and automation to core financial 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 Accounting leadership, bringing a data-driven perspective
Champion operational excellence
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 (e.g., Snowflake, BigQuery, Redshift)
Strong proficiency in Python (or similar) 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 (e.g., Cortex, OpenAI, Claude, etc.) to real business problems
Strong stakeholder management and communication skills, with the ability to influence senior leaders
Experience supporting Accounting or Finance organizations
Preferred skills:
Experience with ERP and financial planning systems
Background supporting finance or accounting 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
