Manager, Audience Architecture & Data Science

Manager, Audience Architecture & Data Science

Infinite Roar, Publicis Media's fastest-growing agency, is the new force in the media landscape. We are built for those clients looking to drive transformation, and we've created an approach especially tailored to the unique needs of disruptive, fast-growing brands. We combined the agility and personalized attention of a boutique agency with the unrivaled resources and expertise of a global powerhouse.

The Data, Tech, Analytics, Audience and Insights (DTAI) team at Infinite Roar is at the core of everything we do. We empower all other teams through a relentless focus on data and transparency, and drive the creation of best-of-breed strategy, innovation and activation across the entire portfolio. 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. DTAI operates as a profit center, a business partner, and a competitive differentiator for Infinite Roar.

The Manager, Audience Architecture & Data Science builds custom audience models (propensity, lookalike, segmentation) and operates across data clean rooms — Databricks, LiveRamp/Habu, Snowflake— to bring audience strategies to life. They are the technical builder and platform operator within DTAI's Audience Strategy practice.

This person is equal parts artist and marketing technologist. They work across clean room environments, identity platforms, CDPs, and data collaboration tools to create scalable audience products for internal DTAI and IR teams. They sit alongside Audience Strategists in client rooms as the technical authority, translating complex data concepts into clear, actionable language.

The ideal candidate is a builder with agency-side fluency. They are highly motivated, entrepreneurial, and detail-oriented, with a keen understanding of the challenges brands face when building intelligence on their customers. They write production-quality code, design audience models, operate comfortably across multiple data platforms, and can explain what they built to a CMO without losing them. They bring a startup mentality and a bias toward shipping over theorizing.

Audience Product Development & Data Science

• Design, build, and maintain custom audience models (propensity scoring, lookalike modeling, custom segmentation, clustering) using statistical and ML techniques
• Develop and deploy internal audience tools and data products that increase the speed, accuracy, and scalability of the Audience Strategy team's output
• Operate across multiple clean room and data collaboration environments (Epsilon, LiveRamp, Snowflake, Habu, AWS Clean Rooms, retailer-specific environments) as a platform-agnostic technical resource, including configuring identity resolution and audience joins, and building/running audience models within each platform's privacy constraints
• Build automated pipelines for audience creation, refresh, and distribution across activation platforms
• Own the technical execution of Test & Learn roadmaps co-developed with Audience Strategists, from hypothesis design through measurement and iteration
• Evaluate and prototype emerging AI/ML applications for audience development, including generative AI use cases, predictive modeling enhancements, and automation of manual workflows

Technical Client Partnership

• Serve as the technical voice in client-facing meetings alongside Audience Strategists, translating data science concepts and platform capabilities into business-relevant language
• Provide consultative guidance on clean room readiness, first-party data strategy, identity architecture, and data collaboration best practices
• Advocate for deterministic identity solutions and advanced data use cases, including partnership with investment teams to support campaign activation
• Perform audience analysis to extract actionable insights and inform strategic activation recommendations
• Communicate platform opportunities and technical constraints clearly to both technical and non-technical stakeholders

Platform & Infrastructure Enablement

• Serve as the primary technical operator across DTAI's audience and identity technology stack, maintaining working fluency in each platform's capabilities, limitations, and integration points
• Document technical processes, data flows, and platform configurations to build institutional knowledge and reduce key-person dependency
• Identify and recommend platform improvements, new tool integrations, and process optimizations to the Audience Strategy and DTAI leadership teams
• Partner with Advanced Analytics and AdOps teams on cross-functional technical initiatives

The Audience Strategy practice at Infinite Roar operates as a two-sided team:

• Audience Strategists own client relationships, audience strategy development, and go-to-market recommendations. They define the what and why.
• The Audience Architect owns the technical execution, platform operations, and product development that make those strategies real. This person defines the how and builds it.

Together, they form a complete capability: strategy and activation under one roof, with no handoff gaps. This model is what separates DTAI from agencies that outsource their technical audience work to third parties.