Lead Data Architect Vice President

What you'll do

• Define conceptual, logical, and physical data models for wealth management domains.
• Create and maintain metadata artifacts including business glossaries, taxonomies, and semantic layer mappings.
• Design data architectures that ensure AI readiness through stable identifiers and feature-friendly structures.
• Establish standards for schema evolution, versioning, and backward compatibility across various platforms.
• Define canonical business concepts and standardized measures to ensure consistent data interpretation.
• Use AI and automation tools to streamline data architecture design workflows.
• Develop target-state architectures that support interoperability and sustainable growth for data products.

What we're looking for

• 5+ years of experience or equivalent expertise in data design for data products, data lakes, or data warehouses.
• Advanced knowledge of data-product development lifecycles and analytics within a domain-driven, data mesh paradigm.
• Demonstrable experience moving from conceptual to logical to physical data modeling implementations.
• Practical cloud-native experience in designing and delivering data solutions.
• Experience defining and maintaining metadata with governance discipline.
• Ability to partner with business stakeholders and technical teams to translate requirements into durable designs.
• Familiarity with using automation or AI tools to improve documentation, metadata coverage, or design workflows.
• Wealth management domain expertise, SQL skills, graph modeling, and risk/privacy awareness (preferred).