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 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), schema and versioning strategy, and designing for interoperability across domains
• Experience implementing architecture that supports data governance in a multi-domain enterprise — including metadata, lineage, ownership and stewardship alignment, change control, and quality management
• Strong stakeholder management skills with the ability to translate business needs into technical architecture and platform roadmaps
• Strong written and verbal communication skills, with the ability to present complex architectural concepts clearly to both technical and non-technical audiences

Preferred Qualifications, Capabilities, and Skills

• Experience with human resources or employee data domains, or internal enterprise platforms managing sensitive employee information
• Experience with streaming architectures and event-driven integration patterns at enterprise scale
• Experience with platform observability, data quality tooling, and operational support models for data pipelines
• Familiarity with privacy-by-design principles and risk-aware delivery practices in regulated or enterprise environments