at J.P. Morgan
Bulge Bracket Investment BanksPosted 9 days ago
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**Senior Principal Data Architect - JPMorganChase, Plano, TX** Drive global data architecture strategy at JPMorganChase's IAM – Data Services Organization. Key responsibilities include advising and leading data architecture strategy, implementing complex AI-integrated solutions, translating technical issues to leadership, and governing data architecture adoption across the firm. Required skills encompass system design, cloud native experience, data modeling standards, graph data modeling, and safe AI adoption. Demonstrate a proven track record in setting data modeling standards and influencing multiple teams. Experience with graph technologies, metadata management, and AI/ML enablement via graphs is preferred. Leverage your unique perspective to advance global technology strategy.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Plano, TX, United States
Job responsibilities
- Advises and leads on data architecture strategy and development of multiple products, applications, and technologies across a portfolio
- Leads reuse-first adoption of enterprise-authorized AI capabilities within 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.
- Translates highly complex technical issues, trends, and approaches to leadership to drive the firms innovation and enable leaders to make strategic, well-informed decisions about data architecture for the target state.
- Drives firmwide adoption and implementation of data architecture specifications in technology solutions and establishes and leads a data architecture governance body
- Creates durable, reusable data frameworks using new technology to meet the needs of the business
- Establishes portfolio-level guardrails for AI-assisted and agentic workflows used in data architecture governance and delivery, including traceability/auditability and control expectations aligned to resiliency and security standards.
- Practical experience delivering system design, application development, testing, and operational stability, including extensive practical cloud native experience
- Proven track record setting data modeling standards and influencing multiple teams/products.
- Deep expertise in graph data modeling (entity/relationship design, identity resolution patterns, temporal modeling, constraint design).
- Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment across 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 to resiliency and security expectations.
- Ability to evaluate current and emerging technologies to recommend the best data architecture solutions or approach to achieve the future state architecture
- Hands-on experience with graph technologies and query languages and/or ontology frameworks
- Experience with metadata management, data governance, MDM, and lineage/provenance implementations.
- Familiarity with AI/ML enablement via graphs (feature generation, embeddings, relationship-aware retrieval), with strong grounding in data controls.
