Lead Data Architect - Vice President

JPMorgan Chase & Co.•Jersey City, NJ

3d•$156,750 - $215,000

About The Position

Build the semantic and data-design foundations that power data products used across wealth management. You’ll help teams deliver trusted, governed data that is ready for analytics and artificial intelligence use cases. You’ll work across business and technology partners to define clear meaning, consistent definitions, and durable models that scale. If you enjoy turning complexity into clarity—and making data easier to discover, understand, and use—this role offers high visibility and strong growth opportunities. As a Lead Data Architect in our wealth management data architecture team, you define the conceptual, logical, and physical data foundations for the domains and data products you support. You create and maintain data models, taxonomies, metadata, and a semantic layer so teams can build analytics and artificial intelligence solutions with confidence. You partner with stakeholders to align on canonical business concepts, stable identifiers, and clear definitions that make data easier to find, interpret, and govern. You help shape the target-state architecture by setting standards that enable interoperability and sustainable evolution over time.

Requirements

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, design practices, and analytics within a domain-driven, data mesh style of delivery
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 (for example, glossary terms, definitions, and mappings) with governance discipline
Ability to partner effectively with business stakeholders and technical teams to translate requirements into durable data designs
Familiarity with using automation or artificial intelligence tools to improve documentation quality, metadata coverage, or design workflows

Nice To Haves

Experience working in a highly matrixed, complex organization
Wealth management domain expertise, especially client onboarding and lifecycle processes (for example, customer relationship management, know your customer, client servicing)
Strong data profiling and analytics fluency, including SQL skills
Experience with graph data modeling or graph database design
Risk and privacy awareness (for example, entitlements, data minimization, data classification) and ability to partner effectively with controls teams

Responsibilities

Engage engineering teams and business stakeholders to propose data-architecture approaches that meet current and future needs
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 to break down complex technical problems
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 (for example, assets under management and net flows)
Produce and maintain metadata artifacts (business glossary, taxonomy, semantic/context layer mappings, naming standards, modeling conventions) and embed them into delivery processes
Apply automation and artificial intelligence techniques to accelerate metadata generation, with human review checkpoints and version control
Design models for analytics and artificial intelligence readiness, including stable identifiers, history patterns, and feature-friendly structures
Establish patterns for schema evolution, versioning, deprecation, and backward compatibility across platforms (warehouse, lakehouse, application programming interfaces, business intelligence)