Vice President of Identity (Engineering)

Join Zeta, a leading AI-native platform, as the Vice President of Identity (Engineering). In this strategic and technical leadership role, you will own and evolve the identity and data layer of the platform, leading a team of 50-60 engineers. You will define the long-term strategy for identity resolution, data ingestion, enrichment, and activation, and collaborate cross-functionally with AI, marketing, and product teams. You will also ensure compliance with privacy and data governance standards and drive the adoption of AI-native engineering practices across the data layer.

• Définir et posséder la feuille de route stratégique pour la couche d'identité et de données, en garantissant la scalabilité, l'exactitude, la latence et la fiabilité.
• Diriger et inspirer une équipe d'ingénieurs, en recrutant, mentorant et développant les talents, tout en créant un plan de succession solide pour les rôles critiques.
• Collaborer de manière transversale avec les équipes d'IA, de marketing et de produit pour assurer l'intégration transparente des services d'identité à travers la plateforme.
• Proven experience managing 50+ person organizations, including directors and senior engineering managers
• Possess experience working on data technologies equivalent to:
• Exceptional communication skills
• Strong understanding of data governance, privacy, and compliance, including global standards such as GDPR and CCPA
• Iceberg, Hudi, Delta
• Aerospike, Scylla, DynamoDB
• 12+ years of engineering leadership, including significant time leading large-scale identity or data platforms
• Snowflake, Redshift, BigQuery
• EMR, Airflow, Spark
• Deep domain expertise in identity resolution, identity graphs, and data enrichment—preferably with experience from a top competitor or parallel industry
• Understand applicability, pros & cons & effectiveness of data engineering design patterns & concepts such as Data Lakehouse, Data Table Format, Zero-Copy Data Sharing, Cleanroom, Real-Time vs Batch Data Processing, High throughput distributed system APIs
• Track record of innovation and driving measurable outcomes, including AI-driven or data-driven product capabilities