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Director of Technology
Director of TechnologyPublicis Groupe • New York, NY, US
Director of Technology

Director of Technology

Publicis Groupe • New York, NY, US
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Director of Technology at Publicis Groupe

We are seeking a passionate and experienced Director of Technology to join our Data Foundation Platform team, working closely to architect and implement scalable data ingestion, processing, and storage solutions for a marketing channel (Search, Social, Programmatic, or Commerce). This role powers OneSuite's AI-driven insights and enables AI-native data platform design within Publicis Groupe Performance solutions.

Overview

The Performics function strategizes and provides digital activation services for global advertisers across 57+ markets. This role offers a clear growth path into AI Orchestration or Agent Studio leadership as the platform evolves.

Responsibilities

  • Lead data architecture design and implementation for the assigned marketing channel (Search, Social, Programmatic, or Commerce), ensuring scalable and AI-optimized data flows.
  • Own the technical roadmap for data foundation platform components, aligning with the OneSuite product strategy and AI orchestration requirements.
  • Design and implement robust data ingestion pipelines from marketing APIs, third-party sources, and campaign management platforms, with data formats optimized for AI / LLM consumption.
  • Architect scalable data processing workflows for real-time streaming and batch analytics, including :
  • Campaign performance data aggregation and transformation
  • Customer journey data processing and enrichment
  • Marketing attribution and conversion tracking
  • AI training dataset preparation and feature engineering
  • Build enterprise-grade data storage solutions optimized for traditional analytics and AI / ML model training and inference.
  • Establish comprehensive data quality frameworks with automated monitoring, validation, lineage tracking, and alerting systems.
  • Drive AI-native data platform design, integrating vector-ready processing for embedding generation, similarity search, and RAG system optimization.
  • Collaborate closely with cross-functional teams on cross-channel data platform strategy, architecture standards, and integration patterns across Search, Social, Programmatic, and Commerce channels.
  • Provide technical guidance and mentorship to junior data engineers, fostering best practices in data engineering and AI integration.
  • Lead cross-functional collaboration with AI Orchestration, Agent Studio, and frontend teams to ensure seamless data integration and optimal performance.
  • Implement data security, privacy, and compliance frameworks for enterprise marketing data handling across global markets.
  • Research and evaluate emerging AI-enhanced data processing tools, vector databases, and data platform technologies for continuous platform improvement.
  • Design and implement high-performance data APIs that serve both traditional analytics dashboards and AI agent workflows with sub-100ms response times.
  • Establish comprehensive monitoring and observability for data pipelines, ensuring 99.9% uptime and proactive issue detection.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years experience in data engineering with emphasis on high-volume marketing data processing and real-time analytics.
  • 2+ years experience in technical leadership roles, including mentoring team members and driving architectural decisions.
  • Production experience building and maintaining data pipelines processing millions of marketing events daily.
  • Strong expertise in data ingestion from marketing platforms (Google Ads, Facebook Ads, programmatic DSPs, Amazon Advertising).
  • Advanced knowledge of data processing frameworks including Apache Spark, Kafka, Airflow, and modern streaming technologies.
  • Expert-level proficiency in Python and SQL, with hands-on experience in at least one additional language (Scala, Java, or Go).
  • 1+ years demonstrable experience working with AI / ML systems, including understanding of data requirements for LLMs, RAG architectures, and vector processing.
  • Deep understanding of cloud data infrastructure (AWS, GCP) including data lakes, warehouses, and real-time processing services.
  • Strong experience with both SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, Elasticsearch) and data modeling for analytics.
  • Familiarity with AI data patterns including embedding generation, vector similarity search, and data preparation for model training.
  • Experience with containerization technologies like Docker and Kubernetes for data service deployment.
  • Strong advocate for data quality, testing methodologies, and CI / CD pipelines for data platform development.
  • Solid understanding of data structures, algorithms, and distributed systems design principles.
  • Excellent communication and collaboration skills, with ability to work effectively with both technical and business stakeholders.

    • Benefits & Additional Information

  • Compensation Range : $132,715 - $208,840 annually (pay determined based on skills, qualifications, and experience).
  • Medical, dental, vision, disability, 401(k), parental and family care leave, tuition reimbursement, and flexible time off.
  • EEO statement : All information will be kept confidential according to EEO guidelines.
  • Accessibility : If you require accommodation or assistance with the application or onboarding process, please contact USMSTACompliance@publicis.com.

    • All candidates are encouraged to apply. The posting may reflect the compensation range at the time of posting and is subject to change. Application deadline : 09 / 24 / 2025.

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    Director Of Technology • New York, NY, US