Executive Director Data Management Architecture - Employee platforms

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

At JPMorganChase, 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 JPMorganChase 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 partner...