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Snowflake

Industry Principal, Office of the CFO (Regulated Industries)

US-MA-RemoteRemote · United States
Principal · FullTime · Sales
POSTED 9 NOVVERIFIED 1H AGO
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Role
0 days opentrue age
Closes in ~46d at the median (46d)
Posted 9 Nov · n=44
Payats field
$256k–335k▼ 12.6% since first seen
▲ +55% vs market median $190k
$135k$335k
Market p25–p75
$163k–$230k
Snowflake p25–p75
$181k–$214kn=8
H-1B median · Other
$135k
United States · n=331 · 365d to 6 Nov
CompanySnowflake →
372open roles
Opened · 30d
+44
Closed · 30d
−39
9d of snapshots · 30d window
Market
2,731open · Principal Other
Opened · 7d
+1576% of open
All other
624,589open
All tracked boards · live 10 Nov · n=2,731
Visa
423H-1B LCAs · FY26
PERM · FY26
7
Median wage
$162k
LCAs FY26 · n=423 · to 2026-06-30
Snowflake

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.

About the Role

As an Industry Principal at Snowflake, you will represent Snowflake to the Office of the CFO in Regulated Industries, at the intersection of corporate finance, regulatory reporting, data, and AI. You will help finance leaders at banks, insurers, and asset managers rethink how they plan, close, report, and make decisions on the Snowflake AI Data Cloud and its ecosystem of finance and data partners.

Your mission is to turn complex finance and regulatory challenges into repeatable, scalable solutions, from a governed finance data foundation to AI-assisted forecasting, close, and reporting. You will pair deep finance experience with modern data and AI capabilities, working alongside sales, solution engineering, product, and partners to shape how Snowflake shows up for finance leaders in demanding regulatory environments. You report to the Global Head Business Solutions.

What You'll Do

Lead strategic engagements with finance leaders Partner with CFOs, controllers, heads of FP&A, finance transformation, and regulatory reporting, and their counterparts in data and risk, on high-impact initiatives. You are credible in these conversations because you have lived these processes and can diagnose what slows a close or weakens a forecast.

Translate finance outcomes into vision and solutions Connect priorities in planning, close and consolidation, profitability, and regulatory reporting to practical roadmaps that create business, technical, and cultural value. Help customers see how a governed data foundation works alongside their planning and ERP investments.

Build for the business Use Snowflake's AI and data capabilities to create demonstrable, grounded examples of what is possible, such as:

Governed finance data foundations with lineage from source to report

AI-assisted forecasting, anomaly detection, and variance analysis that remain explainable

AI assistants that help finance teams explore results, run scenarios, and draft commentary within governance guardrails

Regulatory and management reporting pipelines built for audit readiness

Champion governed, auditable AI in finance Help finance leaders adopt AI responsibly, with outputs that are explainable, traceable, and able to withstand audit and regulatory review.

Be a visible finance and AI thought leader Share points of view and best practices through customer workshops, enablement, webinars, and industry events, helping customers and colleagues understand what great looks like for AI in the Office of the CFO.

Who You Are

Financial Services finance expertise

Meaningful experience inside a financial services organization in FP&A, controllership, finance transformation, or finance data and analytics, ideally complemented by time advising or selling to that same audience

Working knowledge of regulatory and statutory reporting in banking, insurance, or asset management; exposure to Healthcare and Life Sciences finance is a plus

Grounded in core finance processes

Practical understanding of planning and forecasting, close and consolidation, profitability analysis, and internal controls

Ability to translate finance processes into clear data models, workflows, and outcomes

Hands-on with data and AI

Experience building, guiding, or evaluating AI and analytics applications in finance, with a clear sense of where AI adds value and where it introduces risk

Source · SnowflakeFirst seen 9 Nov1 editsOriginal ↗