snowflake - Industry Architect – Advertising & Media
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Requirements
• Experience 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 ROI. • Educational Background • A Bachelor’s degree in computer science, engineering, statistics, mathematics, economics, or a related field is required. • A Master’s degree (or equivalent advanced degree) in a quantitative or business discipline is preferred. • WHAT ARE THE TYPICAL GOALS FOR THE ROLE? • PROACTIVE CUSTOMER GUIDANCE
Responsibilities
• Partner with Brands & Agencies on Strategic Opportunities • Build 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 implementation. • Help customers re-architect how they plan, measure, and optimize media investments using Snowflake. • Innovate and Design Marketing Effectiveness & Measurement Solutions • Translate 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 frameworks. • Design end-to-end blueprints for Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and unified measurement using Snowflake, Python, and modern ML techniques. • Architect 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 way. • Drive Repeatability and Scale • Lead strategic initiatives by creating repeatable solution assets, such as: • Marketing effectiveness and MMM frameworks that connect media impressions to sales and business KPIs. • Audience and identity architectures that unify first-party, partner, and platform data. • Simulation, optimization, and scenario-planning solutions that help clients test investment strategies against business goals before activation. • Help 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 market. • Build demo showcases and reference implementations that prove how AI agents, automation, advanced analytics, and SaaS-style analytical workflows can transform media planning, optimization, and reporting. • Influence the Product Roadmap • Provide 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 teams. • Be a Thought Leader for the Advertising & Media Industry • Drive technical thought leadership in marketing science and media measurement for the Advertising & Media industry. • Author technical blogs, reference architectures, and best practices on topics such as MMM, MTA, unified measurement, marketing mix optimization, and data clean rooms. • Speak 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 ecosystem. • ON DAY ONE, WE WILL EXPECT YOU TO HAVE • Buy-Side / Measurement Ecosystem Background • 10+ 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 leaders. • Deep Expertise in Media Measurement & Marketing Science • Strong 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 KPIs • Experience leading or guiding marketing science teams that own these models and explain their business impact to executives. • Knowledge of the Privacy & Identity Landscape • Sophisticated understanding of the transition away from third-party cookies and device IDs. • Hands-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 IDs. • Technical Proficiency (Hands-On) • Strong knowledge and experience with SQL and Python for building analytic data sets, running models, and operationalizing measurement workflows. • Experience working within cloud environments (AWS, Azure, GCP) and their services. • Ability to review and guide data models, pipelines, and analytics code with both internal teams and customer data/analytics groups. • Data Science Fluency for Advertising & Marketing • Understanding 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 optimization • Comfort explaining model design, tradeoffs, and limitations to non-technical stakeholders and aligning them to business outcomes.
Benefits
• $187.2K – $245.7K • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • If you are a Snowflake employee, please enter your Snowflake email • or drag and drop here • Please select your location of residence. If you are a Snowflake Employee, please select your current work location • This includes, but is not limited to, initial work permits (e.g., H-1B in the US, Highly Skilled Migrant in the Netherlands, or Blue Card in Poland/Germany, etc.) and any necessary change in current sponsorship. • Cover Letter, Portfolio, Projects, etc • I am a U.S. person • I am a citizen of Cuba, Iran, North Korea, or Syria AND I am NOT a U.S. person • None of the above; I am a citizen of a different country • Yes - I have previously worked at, or is currently working at PwC • No - I have never been employed by PwC • Snowflake Candidate Privacy Notice. • I have read and agree to the Snowflake Candidate Privacy Notice. • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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