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Director Master Data Management Jobs in Washington

Vervic Inc.

Sr Enterprise Data Architect

Washington, DC · On-site

$76 - $101.50/hr

Metadata & Master Data Management (MDM) * Design and maintain enterprise metadata models and ensure metadata tagging aligns with Collibra. * Oversee data classification, business glossaries, and data ...

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 ...

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 ...

BakerHostetler

Data Solutions Engineer

Washington, DC · On-site

$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.

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 ...

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 ...

Electrosoft

Data Architect

Arlington, VA

$73.25 - $94.25/hr

Experience supporting data governance, metadata management, data quality, and master data management initiatives. * Experience designing and managing enterprise databases, data warehouses, data lakes ...

AHU Technologies, Inc.

Data Anlyst

Washington, DC · On-site

$65/hr

The master data analyst will be responsible for ensuring the accuracy, consistency, and integrity ... The ideal candidate will possess strong analytical skills, proficiency in data management tools ...

Neevsys LLC

Data modeling & architecture SME

Vienna, VA · On-site

$120 - $180/hr

Data governance, master data management, or metadata management. * Modeling tools (erwin, ER/Studio, or similar). * Cloud data architecture (Azure Synapse, Snowflake, or similar). #J-18808-Ljbffr

Electrosoft

Data Architect

Arlington, VA · On-site

$73.25 - $94.25/hr

Experience supporting data governance, metadata management, data quality, and master data management initiatives. * Experience designing and managing enterprise databases, data warehouses, data lakes ...

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Director Master Data Management information

See Washington salary details

$44.2K

$157.9K

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How much do director master data management jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director master data management in Washington is $157,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $196,200.00 per year, depending on experience, location, and employer.

What does a director master data management do?

A Director of Master Data Management (MDM) is responsible for overseeing the strategy, governance, and quality of an organization's critical data assets, such as customer, product, or supplier information. They lead teams to establish data standards, policies, and processes to ensure data consistency, accuracy, and security across the company. This role often involves collaborating with IT, business units, and data stewards to implement MDM solutions and drive data-driven decision making. The Director also monitors compliance with data governance frameworks and leads initiatives to improve data quality and business outcomes.

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

A Director of Master Data Management (MDM) works closely with stakeholders from IT, operations, finance, and business units to establish and maintain data governance standards. This collaboration often involves leading cross-functional data stewardship committees, aligning data definitions, and ensuring that data quality initiatives are integrated with business processes. Regular meetings and workshops are common to address data issues, gather requirements, and roll out new MDM policies. By fostering strong interdepartmental relationships, the Director ensures that master data remains accurate, consistent, and accessible to all relevant teams.

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

To thrive as a Director of Master Data Management, you need deep expertise in data governance, data architecture, and information management, typically backed by a bachelor’s or master’s degree in computer science, information systems, or a related field. Familiarity with MDM platforms (such as Informatica or SAP MDG), data quality tools, and relevant certifications like CDMP (Certified Data Management Professional) is highly valuable. Strong leadership, stakeholder engagement, and strategic thinking are essential soft skills for driving data initiatives and gaining organizational buy-in. These skills ensure the integrity, consistency, and strategic use of enterprise data, which are critical for informed business decisions and operational efficiency.

What is the difference between Director Master Data Management vs Data Governance Manager?

AspectDirector Master Data ManagementData Governance Manager
ResponsibilitiesOversees enterprise-wide master data strategies, policies, and systems to ensure data consistency and qualityDevelops and implements data governance frameworks, policies, and standards to ensure data compliance and integrity
Required SkillsData management, leadership, strategic planning, data architectureData policies, compliance, stakeholder collaboration, risk management
Work EnvironmentCorporate data teams, IT departments, cross-functional leadershipData governance committees, compliance teams, IT and business units

The main difference is that the Director Master Data Management focuses on managing and maintaining the company's core data assets, while the Data Governance Manager concentrates on establishing policies and standards to ensure data quality and compliance. Both roles collaborate closely but serve distinct strategic and operational functions within data management frameworks.

What are the most commonly searched types of Master Data Management jobs in Washington?

The most popular types of Master Data Management jobs in Washington are:

What cities in Washington are hiring for Director Master Data Management jobs?

Cities in Washington with the most Director Master Data Management job openings:

Director Master Data Management jobs near you
Infographic showing various Director Master Data Management job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,892 per year, or $75.9 per hour.

Data Governance Lead - Security Cooperation Data & Knowledge Management

Q2Impact

Arlington, VA • On-site

Full-time

Re-posted 10 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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