Publicis Groupe · 1 day ago
Programmatic Tech Lead
New York, NY
Full-time
Hybrid
Senior Level
$133K/yr - $209K/yr
5+ years expPublicis Groupe is a global leader in communication, and they are seeking a passionate and experienced Director of Technology to join their Data Foundation Platform team. This role will focus on architecting and implementing scalable data solutions for marketing channels while fostering AI-first approaches to data architecture.
AdvertisingMarketingPublic Relations
Responsibilities
Lead data architecture design and implementation for 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 overall 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 specific focus on data formats optimized for AI/LLM consumption
Architect scalable data processing workflows for both 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 both 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 Rebecca 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 a culture of best practices in both 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
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, or a 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
Preferred
Understanding of performance marketing concepts, campaign optimization strategies, and marketing attribution models
Experience with vector databases (Pinecone, Weaviate, Chroma) and embedding pipeline optimization
Real-time data streaming experience with sub-second latency requirements for campaign optimization
Machine learning model deployment and MLOps experience in production environments
Open-source contributions to data engineering, AI, or marketing technology projects
Benefits
Medical coverage
Dental
Vision
Disability
401K
Parental and family care leave
Family forming assistance
Tuition reimbursement
Flexible time off
Company
Publicis Groupe
Publicis Groupe is a digital and interactive communication services provider.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.43B2025-06-04Post Ipo Debt· $1.43B
1999-04-01IPO
Leadership Team
Jane Lin-Baden
Managing Partner APAC & CEO North Asia (Greater China, Japan, Korea)
Monica Gadsby
Chief Executive Officer Publicis Groupe Latin America
Recent News
2026-01-06
2025-12-22
2025-12-17
Company data provided by crunchbase