Programmatic Tech Lead

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 View email address on click.appcast.io. 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. #J-18808-Ljbffr Publicis Groupe