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Industry Principal – Office of the CMO, Non-Regulated Industries
Snowflake. Represent Snowflake to the Office of the CMO across non-regulated industries at the intersection of marketing strategy, customer data, advertising, and AI .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in marketing analytics, audience strategy, and data-driven decision-making, with a strong focus on leveraging Snowflake AI Data Cloud capabilities for personalized customer engagement. Proven ability to collaborate with senior marketing leaders and cross-functional teams to drive measurable business impact and strategic initiatives.
Highest-signal resume keywords
Marketing AnalyticsAudience StrategyData StrategyFirst-Party DataMachine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Marketing MeasurementAttributionMix ModelingExperimentationIdentity ResolutionPredictive AI ApplicationsGenerative AI ApplicationsEvent-Driven ActivationCustomer Data PlatformsAudience Monetization
Soft Skills
Confidence PresentingAdvising Senior ExecutivesCollaboration
Tools & Technologies
Snowflake AIData ArchitectureAdTechCustomer WorkshopsWebinars
Certifications & Qualifications
Bachelor's DegreeMBA or Advanced Degree Preferred
Industry Keywords
Marketing TechnologyGrowthNon-Regulated IndustriesB2B Go-To-MarketCustomer Engagement
Tech Stack
Tools & technologiesCloudSnowflake
About the role
Key responsibilities & impact- Represent Snowflake to the Office of the CMO across non-regulated industries at the intersection of marketing strategy, customer data, advertising, and AI
- Help marketing leaders rethink how they measure, activate, and personalize engagement on the Snowflake AI Data Cloud and partner ecosystem
- Turn marketing and advertising challenges into repeatable, scalable solutions
- Partner with CMOs and senior marketing leaders on high-impact initiatives
- Translate measurement, audience, first-party data, personalization, identity resolution, and decisioning priorities into practical roadmaps
- Create demonstrable examples using Snowflake AI and data capabilities, including measurement, attribution, audience intelligence, AI assistants, personalization, agentic automation, identity resolution, and secure data collaboration
- Package successful approaches into reusable stories, frameworks, and assets
- Share points of view and best practices through customer workshops, enablement, webinars, and industry events
- Work alongside sales, solution engineering, product, and ecosystem partners
- Report to the Global Head Business Solutions
Requirements
What you’ll need- Meaningful experience inside a technology, media, or manufacturing organization in growth, marketing analytics, audience or data strategy, or marketing technology
- Familiarity with first-party data, identity resolution, programmatic AdTech, audience monetization, and B2B go-to-market data is a plus
- Practical command of marketing measurement, including mix modeling, attribution, and experimentation
- Experience with audience strategy, customer data platforms, and real-time or event-driven activation
- Ability to turn insight into decisions that changed budgets, programs, or customer outcomes
- Experience building, guiding, or evaluating predictive, generative, and agentic AI applications in marketing or advertising
- Complementary depth and understanding in Machine Learning (ML) ideal
- Comfort with modern data architecture and ability to engage credibly with data and engineering teams
- Record of measurable business impact, including revenue, pipeline, or programs influenced
- Confidence presenting to and advising senior executives
- Proven ability to partner with sales, solution engineering, product, and partners to win and expand strategic relationships
- Bachelor's degree in marketing, business, statistics, economics, computer science, or equivalent practical experience
- MBA or advanced degree preferred
- 15+ years of experience in marketing analytics, marketing technology, customer data, advertising, or related consulting
- Willingness to travel for customer meetings, field events, and industry conferences
Benefits
Comp & perks- Commission plan; common total on-target earnings of $340,800–$447,300
- Equity plan
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401(k) retirement plan
- Flexible spending account
- Health savings account
- At least 12 paid holidays
- Paid time off
- Parental leave
- Employee assistance program
- Other company benefits