Remote Data Governance Architect - Modernization Lead

General Dynamics Information Technology; United States; On-site; USD 128,000 - 173,000; Full time

Job summary

General Dynamics Information Technology seeks a Data Governance Analyst to support the CMM program for AO courts nationwide. You will help design and implement a comprehensive data governance framework, define standards, and work with legal, security, and business stakeholders to ensure regulated data is protected and properly managed.

You will lead governance activities, create documentation, and drive adoption across data domains, contributing to data quality, privacy controls, and lifecycle

Qualifications

• Demonstrated experience in supporting enterprise data governance programs.
• Strong knowledge of data quality management and metadata practices.
• Ability to define data standards and data ownership models.
• Experience with regulated data and privacy/compliance expectations.
• Proven ability to translate policy into operational data governance processes.

Responsibilities

• Develop, implement, and maintain the CMM Data Governance framework and operating models.
• Serve as Data Standards Architect, document data standards and definitions.
• Collaborate with security, privacy, legal, and business teams to enforce governance.
• Monitor data assets classification, ownership, and compliance requirements.
• Support governance assessments, audits, and remediation activities.

Skills

Data Analysis

Data Quality

Governance Framework

Education

MA/MS degree

Tools

Collibra

Alation

Qlik

Job description

General Dynamics Information Technology seeks a Data Governance Analyst to support the CMM program for AO courts nationwide. You will help design and implement a comprehensive data governance framework, define standards, and work with legal, security, and business stakeholders to ensure regulated data is protected and properly managed.

You will lead governance activities, create documentation, and drive adoption across data domains, contributing to data quality, privacy controls, and lifecycle