Executive Director Data Management Architecture - platforms

Executive Director Data Management Architecture - Employee platforms

Jersey City, NJ, United States

** Job Information*
* + Job Identification

+ Job Category Architecture

+ Business Unit Corporate Sector

+ Posting Date 09/23/2026, 11:04 AM

+ Locations 575 Washington Blvd, Jersey City, NJ, 07310, US

+ Job Schedule Full time

+ Base Pay/Salary Jersey City,NJ $-$

** Job Description*
* Join one of the world's most influential financial institutions and lead the architectural vision for a critical enterprise data platform. At JPMorgan

Chase, we invest in bold thinkers who can translate complex business challenges into elegant, scalable solutions - and this role is your opportunity to do exactly that. As a Director of Data Architecture, you will shape the future of how employee data is ingested, refined, and delivered at scale, while mentoring and leading a team of talented architects and engineers.

As a Executive Director Data Management Architecture at JPMorgan

Chase within the Employee Platforms team, you will design and deliver large-scale employee data ingestion, refinement, and access platforms that enable multiple downstream consumption patterns across internal consumers. You will bring strategic and hands-on architectural leadership to a complex, multi-domain environment - balancing technical rigor with business pragmatism to build platforms that are extensible, modular, and built to evolve. Your work will directly support the firm's ability to make trusted, high-quality employee data available to analytics, operational, and application consumers across the enterprise.

** Job Responsibilities*
* + Define target-state architecture for employee data ingestion, refinement, storage, and access - ensuring scale, reliability, performance, and long-term maintainability across domains and platforms

+ Establish architectural principles and reference patterns that promote modularity, loose coupling, reusability, and evolvability, enabling the platform to adapt as business requirements and technology capabilities change

+ Design ingestion and integration patterns for multiple upstream employee platform systems, including batch and streaming approaches, schema evolution, resilient integration, and fault tolerance

+ Architect refinement pipelines that produce trusted, reusable curated datasets and standardized entities and events to support a broad range of downstream use cases

+ Design and support architectures that integrate transactional systems, batch pipelines, and real-time event streaming - including patterns for low-latency data movement, change data capture, and idempotent processing

+ Lead conceptual, logical, and physical data modeling for key employee data domains; drive consistent definitions, metadata standards, and documentation to enable discoverability and reuse

+ Define architectural controls for data quality, lineage, platform monitoring, and operational support - including service-level objectives, incident patterns, and runbooks

+ Partner with data product, governance, and control stakeholders to implement architecture that supports ownership, definition consistency, controlled change management, and quality management across domains

+ Ensure platform designs support responsible handling of personal information and align to firm data risk expectations through close partnership with appropriate stakeholders

+ Lead and mentor data architects and engineers, providing design reviews, reference implementations, and hands-on guidance; collaborate with internal stakeholders on roadmap planning and delivery execution

** Required Qualifications, Capabilities, and Skills*
* + Formal training or certification on data architecture concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise

+ Significant experience designing and delivering large-scale data platforms, including ingestion, transformation and refinement, and access and serving layers

+ Demonstrated experience supporting transactional systems and real-time streaming and event-driven architectures, including patterns for reliability, consistency, and scalability

+ Proven ability to design platforms that are extensible, modular, and evolvable - including component-based architecture, reusable frameworks, well-defined interfaces and contracts, and backward-compatible change patterns

+ Strong experience with data modeling (conceptual, logical, and physical),…