Remote Director of Architecture, Data & AI Governance

GE Aerospace; Lafayette (CO); Remote; USD 152,000 - 202,000; Full time

Job summary

GE Aerospace in the United States seeks a Director of Architecture & Data to lead the team responsible for guardrails, data fabric delivery, and enterprise-wide standards. The role owns architecture governance, data modeling standards, and AI integration within the technology stack to support safe, scalable AI-enabled aviation solutions.

The position requires strong leadership, TOGAF/Zachman and NIST RMF familiarity, and the ability to partner with cyber security and enterprise teams.

Qualifications

• Bachelor’s degree with a minimum of 8 years of professional experience OR higher.
• Minimum 5 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.

Responsibilities

• Lead the Architecture & Data team across enterprise, platform, software, and data Architects plus data engineers and product managers.
• Own the team’s performance, culture, and continuous improvement; coach problem-solving at point of work.
• Manage governance models, reference patterns, and decision processes to keep delivery fast and coherent across product teams.
• Deliver the Defense & Systems Data Fabric and coordinate with the Data Fabric team and TPMs.
• Ensure data foundation, ontology, catalog, and data products are trustworthy for downstream analytics and AI use cases.

Skills

Enterprise Architecture

Leadership

Data Governance

AI Governance

Education

Bachelor’s degree (computing/science/engineering)

Master’s degree (preferred)

Tools

TOGAF

Zachman

NIST RMF

Job description

GE Aerospace in the United States seeks a Director of Architecture & Data to lead the team responsible for guardrails, data fabric delivery, and enterprise-wide standards. The role owns architecture governance, data modeling standards, and AI integration within the technology stack to support safe, scalable AI-enabled aviation solutions.

The position requires strong leadership, TOGAF/Zachman and NIST RMF familiarity, and the ability to partner with cyber security and enterprise teams.