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Master Data Manager Jobs in Washington, DC (NOW HIRING)

ValidaTek, Inc.

Data Architect

Quantico, VA · Hybrid

$130K - $165K/hr

Lead Data Governance, Data Security, Master Data Management (MDM), Metadata Management, and Data Quality initiatives. * Define how data is stored, integrated, accessed, consumed, and managed across ...

ValidaTek

Data Architect

Quantico, VA · On-site

$68.75 - $88.50/hr

Lead Data Governance, Data Security, Master Data Management (MDM), Metadata Management, and Data Quality initiatives. * Define how data is stored, integrated, accessed, consumed, and managed across ...

BakerHostetler

Data Solutions Engineer

Washington, DC

$129K - $155K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

Stryker Corporation

Principal Data Engineer

Bethesda, MD · On-site

$131 - $237/hr

The ideal candidate will possess deep expertise in master data management, probabilistic matching algorithms and entity resolution, with the technical architecture skills required to optimize match ...

Leidos

Principal Data Engineer

Bethesda, MD · On-site

The ideal candidate will possess deep expertise in master data management, probabilistic matching algorithms and entity resolution, with the technical architecture skills required to optimize match ...

Leidos

Principal Data Engineer

Bethesda, MD · On-site

The ideal candidate will possess deep expertise in master data management, probabilistic matching algorithms and entity resolution, with the technical architecture skills required to optimize match ...

ValidaTek

Data Architect with Security Clearance

Quantico, VA · On-site

$68.75 - $88.50/hr

Lead Data Governance, Data Security, Master Data Management (MDM), Metadata Management, and Data Quality initiatives. * Define how data is stored, integrated, accessed, consumed, and managed across ...

Booz Allen Hamilton

Senior Data Manager

Alexandria, VA · On-site

$99K - $225K/yr

R0243922 Data Manager, Senior The Opportunity: Manages all aspects of product engineering ... Master's degree and 5+ years of experience with technical project management Nice If You Have:

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All JobsMaster Data JobsMaster Data Manager JobsMaster Data Manager Jobs in Washington, DC

Master Data Manager information

See Washington, DC salary details

$35.1K

$110K

$194.7K

How much do master data manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for master data manager in Washington, DC is $109,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $142,100.00 per year, depending on experience, location, and employer.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.
What are the most commonly searched types of Master Data jobs in Washington, DC? The most popular types of Master Data jobs in Washington, DC are:
Master Data Manager jobs near you
Infographic showing various Master Data Manager job openings in Washington, DC as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,985 per year, or $52.9 per hour.

Data Governance Lead - Security Cooperation Data & Knowledge Management

Q2Impact

Arlington, VA • On-site

Full-time

Posted 27 days ago

Job description

Position Summary
The Data Governance Lead is responsible for establishing and managing the enterprise data governance framework supporting a Department of Defense (DoD) Security Cooperation platform. This role ensures that data across Security Cooperation programs-including Foreign Military Sales (FMS), Building Partner Capacity (BPC), Institutional Capacity Building (ICB), International Military Education and Training (IMET), Humanitarian Assistance, and Security Cooperation workforce development-is trusted, secure, discoverable, and actionable.
The Data Governance Lead will develop governance policies, data standards, metadata management, taxonomy, master data management, and lifecycle processes that enable secure information sharing, artificial intelligence (AI), advanced analytics, and enterprise knowledge management. Working across functional and technical teams, the incumbent will facilitate governance councils, promote data stewardship, and ensure compliance with DoD cybersecurity, records management, and data strategy requirements.
This position plays a critical role in transforming fragmented information into a strategic enterprise asset that supports decision-making, operational readiness, partner nation engagement, and institutional learning across the Security Cooperation enterprise.
Essential Duties and Responsibilities
Enterprise Data Governance
  • Develop and implement the enterprise Data Governance Framework for the Security Cooperation platform.
  • Establish governance policies, standards, procedures, and operating models aligned with DoD data strategies.
  • Lead governance activities that promote data quality, consistency, accessibility, and accountability.
  • Develop governance maturity roadmaps and implementation plans.
  • Facilitate cross-functional governance councils and working groups.
Data Stewardship
  • Identify and establish business and technical data steward roles across Security Cooperation organizations.
  • Define stewardship responsibilities and decision-making authorities.
  • Coordinate stewardship activities to resolve data ownership and quality issues.
  • Promote accountability for enterprise data assets.
Metadata & Taxonomy Management
  • Develop and maintain enterprise metadata standards.
  • Design and govern taxonomies, controlled vocabularies, ontologies, and tagging strategies.
  • Ensure consistent classification of operational, instructional, and programmatic content.
  • Support semantic search, AI-enabled discovery, and enterprise knowledge management.
Data Quality Management
  • Define enterprise data quality standards and performance metrics.
  • Develop processes for monitoring data completeness, consistency, validity, accuracy, and timeliness.
  • Lead root cause analysis and remediation of data quality issues.
  • Implement dashboards and scorecards for governance performance.
Knowledge Management Integration
  • Collaborate with Knowledge Management teams to improve discoverability and reuse of Security Cooperation knowledge.
  • Develop governance processes supporting AI-enabled search and enterprise knowledge repositories.
  • Standardize document classification and information architecture.
  • Enable organizational learning through structured information management.
Master and Reference Data Management
  • Establish governance for master data domains, including organizations, partner nations, personnel, programs, courses, authorities, funding sources, and capability areas.
  • Develop enterprise reference data standards.
  • Coordinate master data synchronization across systems.
Data Architecture Collaboration
  • Partner with enterprise architects and solution architects to align governance with technical architecture.
  • Review solution designs to ensure compliance with governance standards.
  • Support cloud-native data architectures within AWS environments.
  • Ensure governance requirements are incorporated into system development lifecycles.
AI Readiness & Information Management
  • Prepare enterprise information assets for Generative AI, machine learning, and advanced analytics.
  • Develop governance standards supporting Retrieval-Augmented Generation (RAG) architectures.
  • Ensure structured metadata supports AI search accuracy and transparency.
  • Establish governance for AI-generated content where appropriate.
Security & Compliance
  • Ensure compliance with the DoD Data Strategy, DoD Information Enterprise Architecture, Risk Management Framework (RMF), NIST SP 800-53, DoD Cloud Computing Security Requirements Guide (SRG), Federal Records Act, Controlled Unclassified Information (CUI) requirements, and information lifecycle management policies.
  • Coordinate with cybersecurity teams to ensure governance supports secure information sharing.

Stakeholder Engagement
  • Lead governance workshops with Security Cooperation stakeholders.
  • Build consensus across operational, educational, technical, and leadership communities.
  • Present governance recommendations to senior government leadership.
  • Develop governance documentation, policies, standards, and executive briefings.
Success Measures
Success in this role will be demonstrated by:
  • Establishing a sustainable enterprise Data Governance Program adopted across Security Cooperation organizations.
  • Improving data quality, consistency, and trust through measurable governance metrics.
  • Implementing standardized metadata and taxonomy that significantly enhance information discoverability.
  • Enabling AI-ready data and knowledge assets that support advanced search, analytics, and decision support.
  • Increasing reuse of institutional knowledge through improved governance and content lifecycle management.
  • Reducing duplicate, obsolete, and conflicting information across enterprise repositories.
  • Achieving compliance with DoD data governance, records management, and cybersecurity requirements.
  • Building an active network of data stewards who sustain governance practices across the enterprise.

Work Environment
The Data Governance Lead operates at the intersection of mission operations, enterprise technology, and organizational governance. This position requires collaboration with senior defense leaders, Security Cooperation practitioners, data architects, cybersecurity professionals, instructional designers, and knowledge management specialists to ensure that enterprise data is managed as a strategic asset.
The role is central to enabling data-informed decision-making, AI-enabled knowledge discovery, and enterprise interoperability across the Security Cooperation community while supporting the Department of Defense's broader digital modernization objectives.
Requirements
Required Qualifications
  • Hands-on experience establishing enterprise data governance and data stewardship models.
  • 2+ years of experience in enterprise data management, data governance, or information management.
  • Experience with AWS, Microsoft Purview, SharePoint Online, Power BI, and SQL.
  • Experience with core data governance practices, including data governance frameworks, metadata management, data cataloging, data quality management, Master Data Management (MDM), information lifecycle management, business glossaries, data lineage, and information lifecycle governance.
  • Experience facilitating governance councils or executive working groups.
  • Active Secret Security Clearance.
  • U.S. Citizenship and eligibility to work in the United States.
Preferred Qualifications
  • Bachelor's degree in Information Management, Data Science, Information Systems, Computer Science, Public Administration, International Relations, or a related field.
  • 5+ years supporting Department of Defense or Federal Government programs.
  • Experience supporting Security Cooperation organizations, including the Defense Security Cooperation Agency (DSCA), Geographic Combatant Commands, Military Departments, or Security Cooperation workforce development organizations.
  • Experience supporting Foreign Military Sales (FMS), Security Assistance, Institutional Capacity Building (ICB), or Building Partner Capacity (BPC) programs.
  • Knowledge of one or more governance standards or frameworks, including DoD Data Strategy, DoD Digital Modernization Strategy, Federal Data Strategy, DAMA-DMBOK, DCAM, or NIST data management guidance.
  • Preferred certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Management Professional, Certified Information Professional (CIP), Security+, Certified Information Systems Security Professional (CISSP), or Prosci Change Management Certification.

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