Head of AI-Ready Data Architecture

Digital Asset; New York (NY); Presencial; USD 225.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

401(k)

Flexible working

Descripción de la vacante

Digital Asset is seeking a senior leader to own the enterprise data architecture for AI enablement. You will guide data stores, integration layers, and access controls, partnering with Security, Legal, and product teams to ensure safe and discoverable data for AI assistants and search tools.

The role initially starts as hands-on, expanding into a team of data architects and engineers as the company scales, with responsibility for roadmap delivery and data readiness across the organization.

Formación

• 10+ years in data engineering, data architecture, or information management.
• 5+ years leading architecture functions or teams with hiring and mentoring.
• Deliver enterprise-scale cloud data platforms integrating multiple sources.
• Experience integrating unstructured content with structured data for search/retrieval.
• Bachelor's degree in CS, engineering, or related field (master's a plus).

Responsabilidades

• Set the architecture and strategy for AI enablement across data stores and access layers.
• Connect structured and unstructured data, defining ingestion and metadata layers.
• Lead data governance, security, privacy, and policy definitions for AI contexts.
• Define readiness criteria, data quality, and evaluation for scalable delivery.
• Build and lead a data architecture team and align with executives on roadmaps.

Conocimientos

Data architecture leadership

Enterprise data platforms

Cloud data platforms

SQL & Python

Stakeholder management

Educación

Bachelor's degree in CS/Engineering

Herramientas

Notion

Confluence

JIRA

Slack

Descripción del empleo

Digital Asset is seeking a senior leader to own the enterprise data architecture for AI enablement. You will guide data stores, integration layers, and access controls, partnering with Security, Legal, and product teams to ensure safe and discoverable data for AI assistants and search tools.

The role initially starts as hands-on, expanding into a team of data architects and engineers as the company scales, with responsibility for roadmap delivery and data readiness across the organization.