Top Secret/SCI-Eligible Data Governance Architect

Navitas Business Consulting Inc.; Herndon (VA); On-site; USD 120,000 - 147,000; Full time

Benefits offered by this job

Top Secret clearance eligibility

Job summary

Navitas Business Consulting Inc. is seeking a Data Governance Architect to lead enterprise data governance frameworks and policies ensuring secure, compliant data sharing and management across programs.

The role requires an active Top Secret with SCI eligibility, a bachelor’s degree, and 8+ years of data governance experience. Candidates should have experience creating governance policies and knowledge of metadata management and data quality practices.

Qualifications

• 8+ years of data governance experience.
• Bachelor’s degree in Information Management, Data Management, or related field.
• Experience creating enterprise governance policies and standards.
• Knowledge of metadata management and data quality practices.
• Ability to obtain and maintain required security clearance.

Responsibilities

• Lead development of enterprise data governance frameworks and policies.
• Define data-sharing agreements and governance controls.
• Establish metadata, data quality, and stewardship standards.
• Design governance frameworks for AI training data and feature stores.
• Develop AI data lineage and traceability controls.
• Support cybersecurity and Zero Trust compliance.
• Facilitate governance working groups and stakeholder engagement.

Skills

Data governance

Metadata management

Data quality

Security clearance

Education

Bachelor's degree

Tools

CDMP

CISSP

Security+

Job description

Navitas Business Consulting Inc. is seeking a Data Governance Architect to lead enterprise data governance frameworks and policies ensuring secure, compliant data sharing and management across programs.

The role requires an active Top Secret with SCI eligibility, a bachelor’s degree, and 8+ years of data governance experience. Candidates should have experience creating governance policies and knowledge of metadata management and data quality practices.