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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, leveraging Snowflake AI capabilities to drive measurable business impact. Proven ability to engage with senior executives and collaborate across teams to develop innovative marketing solutions.
Highest-signal resume keywords
Marketing AnalyticsAudience StrategyData StrategyMachine LearningMarketing Technology
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 ModelingExperimentationPredictive AI ApplicationsGenerative AI ApplicationsAgentic AI ApplicationsReal-Time ActivationEvent-Driven ActivationIdentity Resolution
Soft Skills
Confidence PresentingAdvising Senior ExecutivesCollaboration
Tools & Technologies
Snowflake AICustomer Data PlatformsData Architecture
Industry Keywords
Marketing StrategyCustomer DataAdvertisingNon-Regulated IndustriesGrowth
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
- Lead strategic engagements with CMOs and senior marketing stakeholders
- Translate measurement, audience, first-party data, personalization, identity resolution, and decisioning priorities into practical roadmaps
- Use Snowflake AI and data capabilities to create demonstrable solutions, including measurement, attribution, audience intelligence, AI assistants, personalization, automation, identity resolution, and secure data collaboration
- Package successful approaches into reusable stories, frameworks, and assets
- Share marketing and AI points of view through workshops, enablement, webinars, and industry events
- Partner with 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
- 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
- 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
- Bachelor's degree in marketing, business, statistics, economics, computer science, or equivalent practical experience
- 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- Salary range of $255,600–$335,475
- Willingness to travel for customer meetings, field events, and industry conferences