Publicis MediaRemote
Head of Data Engineering
United States of America
Full Time
2 hours ago
$200,000 - $250,000 USD
H1B Sponsor Likely
Key skills
Data engineering leadershipAWS data platformsML workflows deploymentLLMscomputer visionSQL proficiencyPython proficiencyReal-time data processingData security complianceInfluencer marketing experienceAPI integrationsAttribution knowledgePythonSQLAIMLComputer VisionMLflowData EngineeringAnalyticsDatabricksSparkKafkaAWSBedrockKinesisDatadogRabbitMQLeadership
About this role
Influential is a company focused on AI social data and conversion technology, seeking a Head of Data Engineering & Data Science to lead their data platform and modeling capabilities. This role involves building scalable data infrastructure and advanced AI/ML solutions to enhance influencer marketing products and drive measurable outcomes for brands.
Responsibilities:
- Define and lead the roadmap for data engineering, data science, and AI capabilities
- Build and scale data pipelines for creator data, campaign performance, and attribution across platforms
- Lead development and deployment of models such as:
- Creator scoring and ranking
- Campaign performance prediction
- Fraud and audience authenticity detection
- Attribution and measurement models
- Drive adoption of LLMs and multimodal AI for:
- Content understanding (captions, comments, transcripts)
- Video and image analysis (brand safety, logo detection, content classification)
- Creator-brand matching and insights generation
- Productionize ML/AI models using modern tooling (e.g., MLflow, AWS Bedrock)
- Work with system architects on data platform architecture leveraging Databricks, ClickHouse, and real-time streaming systems (Kafka, Kinesis, RabbitMQ)
- Establish best practices for data quality, governance, and observability (Datadog)
- Collaborate cross-functionally to translate business needs into scalable data and AI solutions
- Build and mentor a high-performing team across data engineering and data science
Requirements:
- 10+ years of experience in data engineering, data science, including leadership
- Strong background in building scalable data platforms on AWS
- Experience with modern data stack (Databricks/Spark, ClickHouse or similar OLAP)
- Hands-on experience with ML workflows and model deployment (MLflow or similar)
- Experience working with LLMs and/or computer vision (image/video analysis) in production settings
- Proficiency in SQL and Python
- Experience with real-time data processing and analytics
- Ability to connect data and AI strategy to business impact
- Experience with data security and privacy compliance processes (GDPR, CCPA, SOC2)
- Experience building third-party API integrations (TikTok, Meta)
- Experience in influencer marketing, ad tech, or marketing analytics
- Knowledge of attribution, identity resolution, or experimentation frameworks