Data Quality and Knowledge Manager

The Digital Asset Management Consortium, Inc.

Herndon (VA)

Hybrid

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

MANTECH seeks a Data Quality and Knowledge Manager to join the Enterprise Data, AI, and Automation team in Herndon, VA. The role is hybrid, requiring 2–3 days onsite weekly, and focuses on governing data quality standards for dashboards, reports, and AI tools such as Ask MANTECH.

You will own the knowledge management system, define authoritative content, and coordinate with data owners to ensure accuracy, discoverability, and non-duplication across enterprise content; leverage RAG workflows for

Qualifications

  • Bachelor’s degree in Information Systems with 5+ years experience in data quality or IT knowledge management in an enterprise.
  • Proven ability to identify, profile, and resolve data quality issues with root-cause analysis.
  • Experience managing enterprise knowledge management including information architecture and lifecycle management.
  • Strong knowledge of ITIL guidelines and data governance, including metadata management and taxonomy design.
  • Exceptional attention to detail and ability to drive closure on many issues across priorities.
  • Strong technical writing, facilitation, and stakeholder management skills.

Responsibilities

  • Design end-to-end data quality and data hygiene frameworks, SOPs, and metrics across data domains.
  • Identify, document, and track data quality issues; coordinate fixes with data owners and validate data flows to dashboards.
  • Conduct regular data quality audits; partner with data engineering to automate checks and documentation workflows.
  • Own enterprise knowledge management system and authoritative content sources; ensure accuracy and searchability.
  • Maintain a uniform framework assigning knowledge owners and contact points across functional areas.
  • Monitor feedback, diagnose inaccuracies, and coordinate timely updates with content owners for AI tools and repositories.
  • Evaluate and curate knowledge sources for RAG architectures powering AI tools; refine source quality continuously.

Skills

Data quality management
Knowledge management
IT governance
Technical writing
Stakeholder management
Root cause analysis

Education

Bachelor's degree in Information Systems
Bachelor's degree in Computer Science
Equivalent practical experience

Job description

MANTECH seeks a motivated, career and customer-oriented Data Quality and Knowledge Manager to join our Enterprise Data, AI, and Automation team in Herndon, VA. This is a hybrid position, requiring 2-3 days a week onsite.

In this pivotal role, you will establish, scale, and govern MANTECH’s enterprise knowledge systems and data quality standards, ensuring that the data, documentation, and content powering our dashboards, reports, and AI tools such as Ask MANTECH, our internal knowledge AI chatbot powered by Moveworks, are accurate, current, and trustworthy.

Responsibilities include but are not limited to:
  • Design and implement end-to-end data quality and data hygiene frameworks, standard operating procedures (SOPs), and quality metrics (accuracy, completeness, freshness, and consistency) across all corporate data domains and Enterprise IT systems.
  • Identify, document, prioritize, and track data quality issues in a centralized issue log; partner with functional data owners to correct data in source systems and validate that fixes flow through the enterprise data warehouse to downstream dashboards and reports.
  • Conduct regular data quality and content audits, identify root causes of data decay and knowledge silos, and partner with data engineering teams to automate quality checks and documentation workflows.
  • Own the enterprise knowledge management system and documentation repositories, defining the authoritative source of truth for enterprise knowledge and ensuring content is accurate, searchable, and free of duplication.
  • Establish and maintain a uniform framework that assigns a designated knowledge owner and point of contact to all enterprise content by functional area, including procedures for reassigning orphaned or unowned content.
  • Monitor user feedback, diagnose the root cause of inaccurate or unhelpful answers, coordinate timely updates, clarifications, or archival with content owners, and advise on which repositories should be ingested so that every ingested source is actively managed.
  • Evaluate, curate, and maintain knowledge sources for Retrieval-Augmented Generation (RAG) architectures powering AI tools like Ask MANTECH, establishing continuous feedback loops to assess response accuracy and continuously refine source document quality.
Minimum Qualifications:
  • Bachelor’s degree in Information Systems, Computer Science, Data Management, or a related field (or equivalent practical experience) with 5+ years of experience in data quality management or IT knowledge management within an enterprise environment.
  • Proven experience identifying, profiling, and resolving data quality issues in enterprise business systems, including root‑cause analysis and coordinating corrections with data owners.
  • Demonstrated expertise managing enterprise knowledge management including information architecture, knowledge base curation, and content lifecycle management.
  • Strong working knowledge of ITIL guidelines and data governance frameworks, including metadata management and taxonomy design.
  • Exceptional attention to detail with a demonstrated ability to manage a high volume of open issues, follow up persistently with stakeholders, and drive items to closure across competing priorities.
  • Strong technical writing, facilitation, and stakeholder management skills, with the ability to build cross‑departmental consensus and translate data quality concepts into business impact.
Preferred Qualifications:
  • ITIL v3/v4 Foundation certification.
  • Certified Data Management Professional (CDMP) or a knowledge management certification (e.g., KMI Certified Knowledge Manager).
  • Experience implementing AI‑driven knowledge tools, enterprise search engines, or retrieval‑augmented generation (RAG) tools, including optimizing internal content for search and AI‑generated answers.
  • Experience with automated data quality, profiling, or lineage tooling.

Employer: Mantech

Location: Herndon, VA, USA

Posted Date: 05/11/2026

Expiry Date: 05/03/2027

Type: Full-Time

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