Director, Data Architecture (AI Enablement)
- Compensation
- Not disclosed
- Location
- New York City, US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- 10+ years in data engineering, data architecture, or information management
- 5+ years leading architecture functions or teams, with a track record of hiring, mentoring, and influencing across organizations.
- A track record of delivering enterprise-scale cloud data platforms that integrate many source systems
- Experience leading enterprise programs that integrate unstructured content (documents, email, wikis, collaboration tools) with structured data and search or retrieval architectures
- Experience designing or governing access control and entitlement models for enterprise data
- Proven delivery of data governance, cataloging, and data quality programs
- Experience managing budgets and vendor relationships
- Bachelor's degree in computer science, engineering, information systems, or a related field (master's a plus)
Nice to have
- Experience with enterprise search, knowledge management, or content management platforms
- Familiarity with generative AI patterns (RAG, agents, MCP) from the data-supply side
- Knowledge of records management, eDiscovery, and legal hold
- Certifications such as AWS, Azure, or GCP architect credentials
- FinOps experience managing data platform and indexing costs
- Experience in regulated industries such as financial services, healthcare, or insurance
Full description
About Digital Asset & the Canton Network
Digital Asset builds the technologies that are reshaping the foundations of financial markets. Our mission is to create the world’s most trusted, privacy-enabled, and interoperable digital infrastructure for global finance.
At the heart of this mission is the Canton Network - the blockchain purpose-built for institutional finance. Uniquely combining privacy, compliance, and scalability, Canton enables real-time, secure settlement across multiple asset classes. Governed by the Canton Foundation with participation from leading financial institutions, it is the proven link between the promise of blockchain and the power of global finance.
Founded in 2014 and headquartered in New York City, with offices in London, Zurich, Budapest, Hong Kong, and Sydney— we are on a mission to transform finance— and that transformation is now playing out rapidly on the Canton Network.
If you’re interested in playing a crucial role at the intersection of traditional and crypto-capital markets and want to help bring the next trillion dollars of finance on-chain, join us.
About the role:
AI is only as useful as the data it can safely reach. As Director, Data Architecture, you will own how our organization’s information, from databases to data warehouses to email, documents, Notion, Confluence, and Slack, becomes discoverable, trustworthy, and securely available to AI assistants, agents, and search tools.
This is a senior technical leadership role with enterprise-wide architectural accountability. You will own the direction, make the platform and standards decisions, and partner with Security, Legal, Privacy, product, engineering, and business leaders to ensure AI retrieves the right information for the right people and processes. This role focuses on data enablement and does not involve model training or development. You will initially be a team of one, hands-on while setting the foundation, and will build and lead a team of data architects and engineers as the company scales.
Responsibilities:Set the architecture and strategy
- Own the enterprise target-state data architecture for AI enablement, spanning our data stores, integration layers, and a unified access layer across structured and unstructured content
- Set reference architectures for retrieval-based AI: ingestion, parsing, chunking, embedding, indexing, hybrid search, and retrieval APIs
- Establish company-wide standards for connectors, data contracts, APIs, and MCP-style integrations that expose enterprise data to AI tools
- Own a 12-month delivery roadmap and a multi-year data and AI-readiness strategy aligned to business priorities and budget, and secure executive sponsorship for both