Enterprise Data and AI Architect, Vice President
Core
Lead the design and evolution of scalable, secure, and governed enterprise data platforms, AI capabilities, and information architecture to support analytics, operational workloads, and AI-driven innovation.
Role type
Vice President, Enterprise Data and AI Architect
Builds
Enterprise data platforms, AI-ready data foundations, semantic models, knowledge graphs, and reusable data products
Domain
Financial Services / Enterprise Data & AI Architecture
Required skills
Enterprise data platform design, Cloud architecture (AWS/Azure/GCP), Data integration patterns (ETL/ELT/CDC), Semantic modeling & Ontologies, AI/ML & Generative AI architecture, Data governance & lineage, Architecture standards definition, Cross-functional leadership
Preferred skills
Snowflake, Databricks, Data mesh concepts, Regulated environment experience, Metadata platforms, Infrastructure-as-Code, MLOps practices
Technologies
AWS, Azure, GCP, Snowflake, Databricks
Responsibilities
Design scalable enterprise data platforms (lakehouse, warehouse, streaming), Architect AI-ready data foundations for ML and GenAI, Establish architecture standards and participate in Architecture Review Boards, Partner with engineering and AI teams to develop reusable templates and guidelines
Seniority
Executive (VP), Strategy & Hands-on IC