[Remote] Industry Architect – Advertising & Media

Note: The job is a remote job and is open to candidates in USA. Snowflake is empowering enterprises to achieve their full potential by seeking AI-native thinkers. As an Industry Architect in Advertising & Media, you will drive industry-specific transformation and help customers unlock measurable business value through Snowflake’s AI Data Cloud.ResponsibilitiesDrive engagement with the world’s largest advertisers and agency holding companies across brand, performance, and advanced analytics teamsBuild trusted relationships with Chief Data Officers, CMOs, Heads of Analytics/Marketing Science, and Enterprise Architects, acting as the bridge between media strategy, marketing science, and technical implementationHelp customers re-architect how they plan, measure, and optimize media investments using SnowflakeTranslate complex advertising and marketing questions such as signal loss, cross-channel attribution, incrementality, reach and frequency, audience quality, and business lift into data-driven architectures and analytical frameworksDesign end-to-end blueprints for Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and unified measurement using Snowflake, Python, and modern ML techniquesArchitect solutions that leverage Data Clean Rooms, privacy-enhancing technologies, identity resolution, and AI/ML to connect exposure, consumer, and outcome data in a privacy-safe wayLead strategic initiatives by creating repeatable solution assets, such as: Marketing effectiveness and MMM frameworks that connect media impressions to sales and business KPIsAudience and identity architectures that unify first-party, partner, and platform dataCommerce/Retail Media Network blueprints when relevant to advertisers and their partnersSimulation, optimization, and scenario-planning solutions that help clients test investment strategies against business goals before activationHelp shape new solution concepts from idea to prototype to customer validation, working closely with data scientists, engineers, and product teams to bring new measurement and optimization capabilities to marketBuild demo showcases and reference implementations that prove how AI agents, automation, advanced analytics, and SaaS-style analytical workflows can transform media planning, optimization, and reportingAct as the voice of the advertiser and marketing science leader to Snowflake’s product engineering teamsProvide structured feedback on the specific needs of marketers and analytics leaders, including: Privacy and governance controls, Statistical and modeling workflows for MMM and incrementality, Non-technical user experiences for marketers and media teamsDrive technical thought leadership in marketing science and media measurement for the Advertising & Media industryAuthor technical blogs, reference architectures, and best practices on topics such as MMM, MTA, unified measurement, marketing mix optimization, and data clean roomsSpeak at major industry and analytics events (e.g., IAB, ANA, Cannes Lions, AdWeek, POSSIBLE, Gartner Analytics & Measurement, MAICON) and lead field enablement to upskill the sales organization and partner ecosystemSkills10+ years in architecture, marketing science, or technical consulting roles within the advertising and media ecosystem, with specific experience on the buy-side: Enterprise brands, media agencies, or consulting firms serving them or Adtech, measurement/currency, or analytics companies implementing solutions directly with media buyers and marketing leadersStrong grasp of media and marketing measurement methodologies, including: Media Mix Modeling (MMM) and budget optimization, Multi-Touch Attribution (MTA) and identity/attribution models, Incrementality and lift studies (geo experiments, holdouts, causal inference), Reach & frequency, audience quality, and outcome-based KPIsExperience leading or guiding marketing science teams that own these models and explain their business impact to executivesSophisticated understanding of the transition away from third-party cookies and device IDsHands-on familiarity with: Data Clean Rooms (DCRs) and collaboration patterns, Privacy Enhancing Technologies (PETs), Identity resolution and use of identity providers, clean room partners, and platform IDsStrong knowledge and experience with SQL and Python for building analytic data sets, running models, and operationalizing measurement workflowsExperience working within cloud environments (AWS, Azure, GCP) and their servicesAbility to review and guide data models, pipelines, and analytics code with both internal teams and customer data/analytics groupsUnderstanding of how Machine Learning and Generative AI apply to advertising and marketing, including: Propensity and response modeling, Churn and lifetime value prediction, Audience and lookalike modeling, Budget allocation, scenario planning, and optimizationComfort explaining model design, tradeoffs, and limitations to non-technical stakeholders and aligning them to business outcomesExperience in a customer-facing role with the ability to: Whiteboard complex, end-to-end architectures for CTOs, CMOs, and Heads of Marketing Science, Translate those architectures into clear narratives about business value, risk, and impact on media ROIA Bachelor's degree in computer science, engineering, statistics, mathematics, economics, or a related field is requiredA Master's degree (or equivalent advanced degree) in a quantitative or business disciplineCompany OverviewSnowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. It was founded in 2012, and is headquartered in San Mateo, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.snowflake.com.Company H1B SponsorshipSnowflake has a track record of offering H1B sponsorships, with 76 in 2026, 428 in 2025, 281 in 2024, 154 in 2023, 182 in 2022, 113 in 2021, 98 in 2020. Please note that this does not guarantee sponsorship for this specific role.