Data Quality Analyst Lead

Role Overview

• Lead the Validation Team supporting Data Syndication activities, including task prioritization, workload distribution, and quality oversight.
• Serve as the primary point of contact for validation efforts across data integration, mapping, and ingestion workflows.
• Provide mentorship and guidance to data analysts and quality analysts.
• Coordinate validation activities across data engineering, integration, and architecture teams.
• Oversee validation of data ingested from Oracle Health into VA environments, ensuring alignment with source systems and enterprise standards.
• Ensure validation processes meet defined accuracy thresholds (typically ≥98%) and escalate discrepancies as needed.
• Lead reconciliation efforts, including source-to-target comparisons, anomaly detection, and defect resolution.
• Validate ETL/ELT outputs, execution logs, and ingestion results to ensure completeness and accuracy.
• Support validation across enterprise data integration and syndication workflows, including ingestion, transformation, and storage.
• Collaborate with stakeholders to verify data integrity and resolve discrepancies across systems.
• Ensure validation outputs align with enterprise data models and mapped structures.
• Produce and oversee validation reports for weekly and monthly program reporting.
• Track data quality metrics, validation outcomes, and trends, providing visibility to leadership.
• Maintain validation logs and supporting documentation.
• Refine and standardize validation methodologies, processes, and documentation.
• Ensure alignment with VA data governance, security, and compliance requirements.
• Identify opportunities to improve validation efficiency, automation, and accuracy.
• Partner with VA stakeholders, clinical SMEs, and technical teams to resolve data issues and ensure alignment with business needs.
• Support validation of data mapping and transformation logic.
• Contribute to data dictionaries, validation documentation, and data lineage artifacts.
• Contribute to team objectives and take on additional responsibilities as needed.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Health Informatics, Information Systems, or a related field.
• 7+ years of experience in data analysis, data quality, or validation in data-intensive environments.
• 2+ years of experience leading or coordinating technical or data-focused teams.
• Strong SQL expertise and experience with relational databases (e.g., SQL Server, Oracle, InterSystems IRIS).
• Experience validating ETL/ELT pipelines and large-scale data integration systems.
• Proven experience with data validation, reconciliation, and quality assurance in healthcare or enterprise environments.
• Experience with tools such as Jira, Confluence, or Azure DevOps.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a multi-stakeholder, Agile, and data-driven environment.
• Ability to obtain and maintain a Public Trust clearance.

Tech Stack

• Azure
• ETL
• Oracle
• SQL

Benefits

• Medical/Dental/Vision.
• 401k with Employer Match.
• PTO + Federal Holidays.
• Corporate Laptop.
• Training Opportunities.
• Remote Opportunity.