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.

Overview

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.

Responsibilities

• 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

Qualifications

3 years of experience in digital marketing, data science, or marketing technology, with at least 3 years in a hands-on data science or audience architecture role

2 years of experience working in data lake and/or clean room technologies

Advanced proficiency in SQL and Python (NumPy, pandas, scikit-learn). Demonstrated experience with statistical modeling techniques: logistic regression, clustering (k-means, hierarchical), decision trees, propensity modeling, and dimensionality reduction

Hands-on experience with at least two of the following: data clean rooms (Epsilon, LiveRamp, Habu, Snowflake, Databricks), CDPs (Adobe, Segment, mParticle, Hightouch), or customer data warehouses (Snowflake, BigQuery, Databricks)

Hands-on experience configuring identity-resolution workflows in a data clean room — identity resolution and identity cross-walk workflows, joining datasets on hashed PII or resolved IDs across collaboration partners, and operating within clean-room match-rate, aggregation, and privacy constraints. Deterministic, probabilistic, and unified-ID approaches and how they apply to media activation and measurement.

In-depth technical knowledge of the ad tech and martech ecosystem: ad servers, DSPs, SSPs, verification vendors, dynamic creative, streaming/CTV, retail media networks

Strong client-facing communication skills. 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 outcomes

Proven ability to build something from scratch, whether a model, a tool, or a process. You ship. Embody a can-do attitude and a "figureoutability" mindset. Day 1 readiness is the expectation.

Preferred Experience in an agency or holding company environment (media, creative, or data-focused)

Exposure to ML model deployment, MLOps, or pipeline automation (Airflow, dbt, cloud-native orchestration)

Familiarity with API development or lightweight application building (Flask, FastAPI, Streamlit, or similar)

Startup or entrepreneurial experience, particularly in building products or capabilities from zero

Experience with retail media networks and their measurement/audience infrastructure

How This Role Fits Within DTAI

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.

Additional Information

Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact View email address on click.appcast.io. All your information will be kept confidential according to EEO guidelines.

Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles