Enterprise Data Quality & Knowledge Manager (Hybrid)

ManTech; Herndon (VA); Hybrid; USD 110,000 - 140,000; Full time

Job summary

MANTECH seeks a Data Quality and Knowledge Manager for the Enterprise Data, AI, and Automation team in Herndon, VA. This hybrid role requires 2-3 days onsite weekly and focuses on governing enterprise knowledge systems and data quality standards to power dashboards, reports, and AI tools.

You will design end-to-end data quality frameworks, document issues, and ensure content accuracy across data domains and IT systems, establishing trusted sources of truth and ongoing content governance.

Qualifications

• Bachelor’s degree with 5+ years in data quality or IT knowledge management.
• Experience identifying and resolving data quality issues in enterprise systems.
• Experience managing enterprise knowledge management and content lifecycle.
• Strong ITIL knowledge and data governance experience.
• Detail-oriented with ability to manage many open issues and drive to closure.
• Strong writing, facilitation, and stakeholder management skills.

Responsibilities

• Design and implement data quality frameworks and SOPs.
• Document issues and coordinate corrections with data owners.
• Conduct data quality audits and automate quality checks.
• Own enterprise knowledge management system and content governance.
• Define authoritative source of truth for enterprise knowledge.
• Manage knowledge sources for Retrieval-Augmented Generation and AI tools.

Skills

Data quality management

Knowledge management

ITIL frameworks

Metadata management

Taxonomy design

Technical writing

Stakeholder management

Content lifecycle management

Education

Bachelor’s degree in Information Systems or related field

Tools

RAG tooling

Enterprise search engines

Ingestion workflows

Job description

MANTECH seeks a Data Quality and Knowledge Manager for the Enterprise Data, AI, and Automation team in Herndon, VA. This hybrid role requires 2-3 days onsite weekly and focuses on governing enterprise knowledge systems and data quality standards to power dashboards, reports, and AI tools.

You will design end-to-end data quality frameworks, document issues, and ensure content accuracy across data domains and IT systems, establishing trusted sources of truth and ongoing content governance.