Remote Data Quality Analyst: Governance & AI/ML

General Dynamics Information Technology, Inc.; Decatur (IL); Remote; USD 123,000 - 167,000; Full time

Benefits offered by this job

Health Savings Accounts

Vision plan

401(k) plan

Paid time off

Disability benefits

Job summary

General Dynamics Information Technology, Inc. (GDIT) is seeking a Data Quality Analyst to support the Case Management Modernization program for the Administrative Office of the US Courts.

The role focuses on establishing and operationalizing data quality practices across data domains and systems, defining metrics, rules, and remediation processes to ensure data accuracy, completeness, and reliability in a cloud-based environment.

Qualifications

• 8+ years of data quality analysis and governance experience in large-scale systems.
• Experience supporting enterprise data governance programmes.
• Strong understanding of data quality management, metadata practices, and stewardship.
• Experience with data privacy controls in regulated environments.

Responsibilities

• Define and maintain data quality rules, controls, metrics, thresholds, and measurement frameworks.
• Establish data quality requirements with Data Owners, Data Stewards, and stakeholders.
• Assess data quality across data domains, systems, interfaces, pipelines, and data products.
• Develop data quality profiles, baselines, scorecards, dashboards, and trend analyses.
• Identify, investigate, and prioritize data quality issues.
• Perform root-cause analysis to locate issues in source systems or transformations.
• Embed quality controls within ETL/ELT pipelines and data products.
• Provide data quality reporting to governance councils and leadership.

Skills

Data quality analysis

Data governance

ETL/ELT pipelines

Data modeling

Metadata concepts

Tools

Collibra

Informatica

Snowflake

Databricks

AWS

Job description

General Dynamics Information Technology, Inc. (GDIT) is seeking a Data Quality Analyst to support the Case Management Modernization program for the Administrative Office of the US Courts.

The role focuses on establishing and operationalizing data quality practices across data domains and systems, defining metrics, rules, and remediation processes to ensure data accuracy, completeness, and reliability in a cloud-based environment.