Sr Principal Data Architect

JPMorganChase • Plano, TX

4d

About The Position

As a Senior Principal Data Architect within JPMorganChase’s IAM - Data Services Organization, you will provide specialized expertise to influence target-state architecture and strategy. You will work across teams to implement and advance adoption of complex, strategic, global data architecture solutions that provide a competitive advantage and help shape the global strategic direction of technology. The role includes leading data architecture strategy across a portfolio, establishing governance and reusable frameworks, and guiding the safe, controlled use of enterprise-authorized AI in architecture workflows.

Requirements

• Practical experience delivering system design, application development, testing, and operational stability, including extensive practical cloud-native experience.
• Track record of setting data modeling standards and influencing multiple teams or products.
• Deep expertise in graph data modeling, including entity/relationship design, identity resolution patterns, temporal modeling, and constraint design.
• Experience leading safe adoption of enterprise-authorized AI capabilities in data architecture workflows, including validation practices and awareness of data sensitivity.
• Ability to evaluate and govern AI-enabled data architecture patterns, including agentic workflows, with clear control boundaries, auditability, and human approval checkpoints aligned with resiliency and security expectations.
• Ability to evaluate current and emerging technologies and recommend data architecture solutions or approaches to achieve the future-state architecture.

Nice To Haves

• Hands-on experience with graph technologies and query languages and/or ontology frameworks.
• Experience with metadata management, data governance, master data management (MDM), and lineage/provenance implementations.
• Familiarity with AI/ML enablement via graphs, including feature generation, embeddings, and relationship-aware retrieval, with strong grounding in data controls.

Responsibilities

• Advise and lead data architecture strategy and development across multiple products, applications, and technologies in a portfolio.
• Lead reuse-first adoption of enterprise-authorized AI capabilities in the work environment to accelerate data architecture analysis, portfolio-level option evaluation, and delivery of strategic global solutions, with human-in-the-loop validation and appropriate handling of sensitive data.
• Translate complex technical issues, trends, and approaches for leadership to support innovation and informed strategic decisions about target-state data architecture.
• Drive firmwide adoption and implementation of data architecture specifications in technology solutions, and establish and lead a data architecture governance body.
• Create durable, reusable data frameworks using new technology to meet business needs.
• Establish portfolio-level guardrails for AI-assisted and agentic workflows used in data architecture governance and delivery, including traceability, auditability, and controls aligned with resiliency and security standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed