Remote: Head of Enterprise Architecture & Data Fabric

GE Aerospace; Detroit (MI); Remote; USD 152,000 - 202,000; Full time

Benefits offered by this job

Health benefits

401(k) with company matching

Tuition assistance

Paid parental leave

PTO and disability insurance

Job summary

GE Aerospace seeks a Director of Architecture & Data to lead the team that sets guardrails and owns the foundation for Defense & Systems software environments and a native Data Fabric across AI initiatives.

You will govern architecture standards, data modeling, and AI governance, coordinate with enterprise, data, and security teams, and deliver secure, scalable patterns that let AI integrate as a natural part of the stack while maintaining safety and compliance.

Qualifications

• Minimum 8 years of professional experience in Enterprise Architecture & Data Management or IT.
• Minimum 3 years of experience leading technical teams.
• Ability to obtain and maintain a US Government SECRET security clearance.
• Legal authorization to work in the U.S. is required. GE Aerospace will not sponsor individuals for employment visas.

Responsibilities

• Lead the Architecture & Data team – enterprise, platform, software, and data architects plus data engineers and product managers.
• Own the architecture governance model: reference patterns, standards, and decision processes.
• Deliver the Defense & Systems Data Fabric and supervise the Data Fabric engineers.
• Manage delivery across AI governance, data product maturity, and secure operations processes.

Skills

Enterprise Architecture

Data Management

Team Leadership

Governance

Education

Bachelor's degree in CS/Engineering

Tools

TOGAF

NIST RMF

Job description

GE Aerospace seeks a Director of Architecture & Data to lead the team that sets guardrails and owns the foundation for Defense & Systems software environments and a native Data Fabric across AI initiatives.

You will govern architecture standards, data modeling, and AI governance, coordinate with enterprise, data, and security teams, and deliver secure, scalable patterns that let AI integrate as a natural part of the stack while maintaining safety and compliance.