Snowflake

Industry Architect – Advertising & Media

3mo ago

187200 –245700 USD / yearUSARemoteaidata cloud

Trusted technical partner driving industry-specific transformation in Advertising & Media by leveraging Snowflake's AI Data Cloud to unlock business value.

About the product

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.

Other

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
As an Industry Architect within the Industry and Data/AI Architect teams at Snowflake, you will be a trusted technical partner driving industry-specific transformation. Your goal is to help customers unlock measurable business value by adopting and building on Snowflake’s AI Data Cloud.
In this specific role, you will serve as the technical visionary for Advertising & Media . You will pivot away from pure platform engineering to focus on the buy-side and measurement ecosystem, working directly with global brands and media agencies . You will bring together deep expertise in media measurement, marketing science, and privacy-safe data collaboration with modern AI and data architecture to guide customers toward a future-proof media strategy.
You will report to the Director of Industry Architects and work inextricably with the Marketing & Advertising Go-to-Market (GTM) cross-functional team to co-own account strategy and execution for advertising and marketing effectiveness use cases.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 .
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.
Help major brands and agencies understand how peers are adopting the AI Data Cloud for marketing and media.
Show how Snowflake solves for fragmented media, consumer, and outcome data to support modern marketing science and measurement.
Move customers from legacy, opaque “black box” measurement to transparent, data-driven frameworks that the brand owns and understands .
Design architectures that unify media, commerce, CRM, and outcome data in a governed, privacy-safe environment.
Determine how customers should integrate with DSPs, SSPs, measurement partners, and identity providers (e.g., LiveRamp, The Trade Desk, leading MMM/MTA and analytics platforms).
Facilitate technical alignment between the customer, Snowflake, and the broader Advertising & Media ecosystem , including measurement and analytics partners.
Design architectures for: Retail and Commerce Media Networks (RMNs) and co-op media models.
Measurement frameworks that connect media, consumer journeys, and business outcomes.
Privacy-safe collaboration between brands, agencies, publishers, and partners.
Ensure customer architectures are compliant with privacy regulations (GDPR, CCPA, and others) and consent requirements while maximizing analytical utility and flexibility.
Establish long-running relationships with Brand and Agency leadership to maintain a consistent vision across global business units and regions.
Act as a long-term advisor on how to evolve marketing science, media measurement, and data collaboration using Snowflake.
Drive strong alignment with the Marketing & Advertising Industry GTM, Product Marketing, and Alliances teams so that Snowflake shows up with a unified narrative in the market.
Develop and maintain a clear point of view on industry trends such as data clean rooms, identity, data mesh, GenAI, and the evolution of linear and digital measurement.
Frame these trends through an advertiser and marketing science lens , including case studies, implementation patterns, and tradeoffs.
Bring in the wider Snowflake team to run hands-on labs, solution workshops, and Snowdays focused on measurement, marketing science, and media optimization.
Complement the customer’s point of view with broader industry perspectives and practical solution patterns.

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