Director, Architecture & Data Governance (Remote)

GE Aerospace; Baltimore (MD); Remote; USD 152,000 - 202,000; Full time

Benefits offered by this job

Remote work option

Job summary

GE Aerospace is seeking a Director of Architecture & Data to lead the team that defines guardrails and builds the foundation for Defense & Systems software environments and a data fabric enabling AI as a native stack extension. The role governs reusable patterns, business-domain information structuring, and an enterprise-wide capability map to ensure AI delivery aligns with safety and performance goals.

You will drive architecture governance, AI standards, data modeling, and data quality across

Qualifications

• Bachelor’s degree from accredited university or college with minimum of 8 years of professional experience OR Associates degree with minimum of 11 years of professional experience OR High School Diploma with minimum of 13 years of professional experience
• 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 – enterprise, platform, software, and data architects plus the data engineers and product managers aligned to the Data Fabric.
• Own the team’s performance and development; build a culture of ownership, flow, and continuous improvement, coaching problem-solving at the point of work.
• Identify and remove obstacles on behalf of the team, especially where delivery direction and supervisory authority are split across the matrix.
• Own the architecture governance model: reference patterns, standards, the architecture review and decision process, and exception handling.
• Set unified architecture and AI standards, informed by TOGAF/Zachman and the NIST AI Risk Management Framework, and advise technology and AI investments.
• Maintain a single enterprise-wide capability map so AI can integrate into existing technology stacks.
• Set the data architecture and modeling standards, organized around the business domains the data serves, and govern data quality, lineage, and reusable data patterns across the organization.
• Deliver the Defense & Systems Data Fabric, coordinating with the Data Fabric Sr Principal TPM, who sets policy and prioritization and directs the pod day to day.
• Supervise the Data Fabric engineers in a matrixed arrangement, keeping their written objectives aligned to fabric delivery so priorities do not collide.
• Ensure the data foundation — the canonical ontology, catalog, and governed data products — covers the in-scope business domains and is trustworthy enough for every downstream analytic and AI use case to build on.
• Manage the four processes each product must clear – ATG, Data Fabric TRL/CRL, FLIGHT DECK, and RMF – as a single set of reference patterns.
• Build the security and authorization path into the architecture by default: secure-architecture review that feeds Authority to Build (ATB), and data-classification, export-control, and risk controls that feed Authority to Operate (ATO).
• Keep architecture guardrails and platform patterns coupled with the Director, Infrastructure & Platform, so the environment the delivery process runs in matches the boundaries the architecture sets.
• Charter the Principal architects with named enterprise and CDAIO forum responsibilities so Defense & Systems influences architecture above the business unit by charter, not assumption.
• Represent Architecture & Data in the Tech Ops leadership cadence – daily management, WOR, and MOR – and align the architecture and data baseline to the enterprise and CDAIO standard.

Skills

Enterprise Architecture

Data Management

Leadership

Security clearance

Education

Bachelor’s degree

Associates degree

High School Diploma

Job description

GE Aerospace is seeking a Director of Architecture & Data to lead the team that defines guardrails and builds the foundation for Defense & Systems software environments and a data fabric enabling AI as a native stack extension. The role governs reusable patterns, business-domain information structuring, and an enterprise-wide capability map to ensure AI delivery aligns with safety and performance goals.

You will drive architecture governance, AI standards, data modeling, and data quality across