Senior Director, Enterprise Data Architecture & AI

JPMorgan Chase; Dublin; On-site; EUR 150,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Director to lead the Infrastructure Data Architecture within the IP Data domain. You will define target data architectures, data contracts, and integration patterns to enable analytics, reporting, and downstream consumption.

The role requires influencing senior stakeholders, governing AI-enabled workflows, and partnering with product, governance, security, and risk teams to deliver measurable outcomes.

Qualifications

• Formal training or certification on architecture concepts and advanced applied experience.
• Significant experience in Infrastructure data architecture roles within complex, regulated environments, with ownership of domain-wide data strategy.
• Expertise in Data modeling (conceptual/logical/physical), schema evolution, and data contract design.
• Proven Data governance experience, metadata/lineage, and data quality frameworks.
• Experience with lakehouse/warehouse concepts and data product thinking.

Responsibilities

• Define and drive the IP Data target-state architecture and data contracts.
• Manage multiple architecture programs and senior stakeholders across products and lines of business.
• Set governance for AI-assisted workflows with traceability and risk controls.
• Provide hands-on guidance to squads and ensure architectural intent is met.
• Mentor architects and engineers to build domain architecture capability across teams.

Skills

Leadership

Architecture

Data modeling

Data governance

AI governance

Stakeholder mgmt

Education

Advanced degree in CS/IS/EC

Tools

Cloud platforms (AWS/Azure)

Data governance tools

Job description

JPMorgan Chase is seeking a Senior Director to lead the Infrastructure Data Architecture within the IP Data domain. You will define target data architectures, data contracts, and integration patterns to enable analytics, reporting, and downstream consumption.

The role requires influencing senior stakeholders, governing AI-enabled workflows, and partnering with product, governance, security, and risk teams to deliver measurable outcomes.