VP Data Architecture & AI-Driven Data Products

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Lead Data Architect to define conceptual, logical, and physical data models for wealth management data products.

You will create data models, taxonomies, business glossaries, metadata, and a semantic layer for analytics and AI use, collaborating with stakeholders to ensure canonical concepts and stable identifiers. You will shape target-state architecture, enable interoperability, and guide data mesh delivery with governance, schema evolution, and AI-ready design to

Qualifications

• 5+ years of experience or equivalent expertise in data design for data products, data lakes, or data warehouses.
• Demonstrable data modeling experience with ability to move from conceptual to logical to physical implementation.
• Practical cloud-native experience in designing and delivering data solutions.
• Experience defining and maintaining metadata with governance discipline.
• Ability to partner with business and technical teams to translate requirements into durable data designs.
• Familiarity with using automation or AI tools to improve documentation quality, metadata coverage, or design workflows.

Responsibilities

• Engage engineering teams and business stakeholders to propose data-architecture approaches.
• Define the target-state data architecture for owned data products and drive delivery against the strategy.
• Participate in data-architecture governance forums and ensure alignment to standards and controls.
• Design and troubleshoot architecture solutions, applying creative thinking beyond routine approaches.
• Own conceptual, logical, and physical data models for wealth management domains, including keys, relationships, and lifecycle states.
• Define canonical business concepts and relationships, including conformed dimensions and standardized measures.
• Produce and maintain metadata artifacts and embed them into data mesh delivery processes.
• Design for AI readiness: stable identifiers, entity resolution, history and feature-friendly structures, clear semantics.
• Establish patterns for schema evolution, versioning, deprecation, and backward compatibility across platforms.

Skills

Data modeling

Domain-driven design

Stakeholder collaboration

Analytics fluency

Data governance

SQL skills

AI readiness documentation

Tools

Graph database design

Job description

JPMorgan Chase & Co. seeks a Lead Data Architect to define conceptual, logical, and physical data models for wealth management data products.

You will create data models, taxonomies, business glossaries, metadata, and a semantic layer for analytics and AI use, collaborating with stakeholders to ensure canonical concepts and stable identifiers. You will shape target-state architecture, enable interoperability, and guide data mesh delivery with governance, schema evolution, and AI-ready design to