Enterprise Data Governance Analyst

Navy Federal Credit Union

Support Enterprise Data Governance in developing information lifecycle management and data quality strategies. Provide guidance on managing data assets and enhancing data quality capabilities.

Posted 7/29/2026full-timeVienna • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $78,400 - $123,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, data quality, and information lifecycle management, with a strong focus on developing and implementing data quality strategies and capabilities. Proficient in SQL and familiar with cloud platforms, ensuring data integrity and compliance within financial services.

Highest-signal resume keywords

Data GovernanceData QualityInformation Lifecycle ManagementSQLCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality CapabilitiesData Analysis TechniquesMetadata ManagementData EngineeringData WarehousingMaster/Reference Data ManagementData ProfilingData MonitoringIssue ManagementEnterprise Data Quality Tools

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsOrganizational Skills

Tools & Technologies

SQLPythonRScalaAzureDatabricksSparkAWSGoogle Cloud

Industry Keywords

Regulatory PracticesRisk ManagementComplianceAuditFinancial Services

Tech Stack

Tools & technologies

AWSAzureCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Support Enterprise Data Integrity Services (EDIS) in the development of information lifecycle management requirements, guidelines, and best practices for effectively managing enterprise data across the end-to-end data lifecycle.
Provide guidance to stakeholders on the collection, discovery, management, access, use, security, retention, and retirement of data assets.
Understand business needs and identify opportunities to mature information lifecycle management capabilities.
Support Enterprise Data Integrity Services (EDIS) in the development of data quality requirements, standards, frameworks, capabilities, and best practices.
Provide guidance to stakeholders on developing and implementing data quality strategies and capabilities that improve data accuracy, reliability, and integrity while ensuring fit for intended use.

Requirements

What you’ll need

Experience in one or more of the following areas: data governance, data quality, metadata management, data engineering, data warehousing, master/reference data management, information lifecycle management, or related disciplines.
Experience implementing or supporting data quality capabilities, including profiling, monitoring, issue management, controls, or enterprise data quality tools.
Knowledge of SQL and data analysis techniques; familiarity with Python, R, Scala, or similar technologies preferred.
Familiarity with cloud and modern data platforms such as Azure, Databricks, Spark, AWS, or Google Cloud.
Knowledge of regulatory, risk, compliance, audit, or governance practices, preferably within financial services.
Strong analytical, problem-solving, and root cause analysis skills.
Strong communication, presentation, collaboration, and technical writing skills.
Strong organizational, planning, and stakeholder management skills.
Bachelor's degree in Computer Science, Information Technology, or related field, or the equivalent combination of education, training, and experience.
Banking, credit union, or financial services experience (desired).

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks