Industry Architect – Advertising & Media

Responsibilities

Partner with Brands & Agencies on Strategic Opportunities

• Drive engagement with the world’s largest advertisers and agency holding companies across brand, performance, and advanced analytics teams.
• 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.
• Commerce/Retail Media Network blueprints when relevant to advertisers and their partners.
• 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

• Act as the voice of the advertiser and marketing science leader to Snowflake’s product engineering teams.
• 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.

Requirements

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.

Executive and Storytelling Skills

• 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.