Sr Director of Infrastructure Architecture

JPMorganChase•Jersey City, NJ

About The Position

Acting as a bridge between the business and technical domains, you enjoy taking charge of diverse subject matter to create groundbreaking infrastructure technologies. Your pioneering spirit and drive for continuous improvement positions the firm to shape the future of the industry. As a Senior Director of Infrastructure Architecture at JPMorganChase within Infrastructure Platforms – Data & Specialty Services (DSS), you lead across multiple areas while bridging the gap between business and technical domains to ensure the execution of complex initiatives. You drive the target architecture for DSS across infrastructure technology domains, data and integration platforms, observability, resiliency, automation, and AI-enabled operations—ensuring solutions are secure, resilient, scalable, and well-governed through practical standards, reusable patterns, and measurable adoption.

Requirements

10+ years of senior-level infrastructure architecture leadership experience in complex, regulated environments
Extensive senior-level infrastructure architecture leadership experience in complex, regulated environments, with demonstrated ownership of architecture strategy, standards, execution, governance, and adoption across multiple platforms and domains
Deep expertise across infrastructure architecture domains including Compute, Network, Storage, Mainframe, Large Midrange, distributed platforms, workload hosting, automation, observability, resiliency, and operational control planes
Experience modernizing complex technology estates, including legacy coexistence, migration, decommissioning, platform rationalization, technical debt reduction, and operational risk reduction
Strong architecture operating model experience (design reviews, reference architectures, architecture decision records, exception/waiver governance, reusable patterns) that scales across multiple squads
Strong understanding of data/integration architecture concepts (data domains, canonical models, data contracts, metadata/lineage, data quality, governance-by-design, analytical consumption patterns) and ability to partner effectively with data architecture teams
Demonstrated ability to influence senior stakeholders, resolve cross-team dependencies, communicate complex technical strategy clearly, and drive consistent adoption across matrixed organizations
Strong risk and control mindset, including information security, cyber resiliency, disaster recovery, auditability, records retention, data residency, least privilege, and operational readiness expectations

Nice To Haves

Experience leading architecture for mission-critical, high-availability infrastructure platforms supporting payments, enterprise data platforms, trading, specialty services, or similar critical capabilities
Experience with platform engineering, hybrid infrastructure, internal developer platforms, service catalogs, self-service operating models, and enterprise-scale automation
Experience using telemetry/operational data and AI/ML techniques to improve resiliency, anomaly detection, incident prevention, capacity management, and cost optimization
Familiarity with retrieval-augmented generation patterns, model observability, AI governance, responsible AI controls, and practical enterprise use cases for AI-assisted engineering and operations
Experience working at the code level

Responsibilities

Owns and evolves the DSS target-state architecture, including domain boundaries, reference architectures, integration patterns, operating models, and technical roadmaps
Sets architectural direction across infrastructure domains including Compute, Network, Storage, Mainframe, Large Midrange, distributed platforms, workload hosting, automation, observability, resiliency patterns, and operational control planes
Partners with DSS leadership, platform engineering, product management, and data architecture teams to translate business and technology capabilities into reusable platforms, APIs, datasets, data products, and architectural patterns with clear lifecycle management
Defines and enforces architecture standards and reusable patterns, including decision records, integration practices, service-level expectations, technology guardrails, naming conventions, and documentation expectations
Leads architecture design reviews; produces roadmaps; manages exceptions and waivers; and makes trade-offs across speed, cost, risk, resiliency, maintainability, and long-term strategic alignment
Embeds governance-by-design into delivery including ownership/RACI, controls traceability, access patterns, retention, lineage, operational readiness, resiliency, and auditability
Establishes measurable practices for architecture quality, reliability, resiliency, cost transparency, data quality/reconciliation, monitoring, and observability; ensures issues are triaged, root-caused, and prevented through architectural controls
Embeds AI readiness into DSS architecture through trusted data foundations, high-quality telemetry, responsible automation, model-safe integration patterns, and governance controls for emerging AI capabilities
Engages senior business and technology stakeholders across DSS, Infrastructure Platforms, Enterprise Architecture, risk, controls, information security, and product line teams to align priorities, communicate architecture strategy, and drive adoption
Provides hands-on delivery enablement for architects, senior engineers, and squads through reference designs, templates, best practices, and coaching to ensure solutions meet architectural intent
Champions the firm’s culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation