Manager, Audience Architecture

This diverse team of data and marketing technology specialists have deep expertise in ad tech, data management, data-driven marketing, and enable a data-first strategy throughout our ecosystem of tools and capabilities. Audience Product Development & Data ScienceDesign, build, and maintain custom audience models (propensity scoring, lookalike modeling, custom segmentation, clustering) using statistical and ML techniquesDevelop and deploy internal audience tools and data products that increase the speed, accuracy, and scalability of the Audience Strategy team’s outputOperate across multiple clean room and data collaboration environments (Epsilon, LiveRamp, Snowflake, Habu, AWS Clean Rooms, retailer-specific environments) as a platform-agnostic technical resourceBuild automated pipelines for audience creation, refresh, and distribution across activation platformsOwn the technical execution of Test & Learn roadmaps co-developed with Audience Strategists, from hypothesis design through measurement and iterationEvaluate and prototype emerging AI/ML applications for audience development, including generative AI use cases, predictive modeling enhancements, and automation of manual workflowsTechnical Client PartnershipServe as the technical voice in client-facing meetings alongside Audience Strategists, translating data science concepts and platform capabilities into business-relevant languageProvide consultative guidance on clean room readiness, first-party data strategy, identity architecture, and data collaboration best practicesAdvocate for deterministic identity solutions and advanced data use cases, including partnership with investment teams to support campaign activationPerform audience analysis to extract actionable insights and inform strategic activation recommendationsCommunicate platform opportunities and technical constraints clearly to both technical and non-technical stakeholdersPlatform & Infrastructure EnablementServe as the primary technical operator across DTAI’s audience and identity technology stack, maintaining working fluency in each platform’s capabilities, limitations, and integration pointsDocument technical processes, data flows, and platform configurations to build institutional knowledge and reduce key-person dependencyIdentify and recommend platform improvements, new tool integrations, and process optimizations to the Audience Strategy and DTAI leadership teamsPartner with Advanced Analytics and AdOps teams on cross-functional technical Qualifications You can present to a room of senior marketers and make complex technical concepts stick.A strong opinion when you see an audience data strategy that is too broad, too narrow, or lacks clear linkage to business outcomesProven ability to build something from scratch, whether a model, a tool, or a process. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. This is the pay range the Company believes it will pay for this position at the time of this posting.

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