Data Governance Specialist (Steward)

Job DescriptionJob Title: Data Governance Specialist/Data Quality Analyst Location: Montgomery, AL (Onsite) Duration: 6+ Months contract with possible extension Job Description: 5-7 years in data governance, stewardship, or compliance roles. Experience implementing metadata management/cataloging tools (Collibra, Alation, Apache Atlas). Background in Master Data Management (MDM) initiatives. Familiarity with compliance standards (NIST CSF, IRS Pub 1075, HIPAA, CJIS). Explicit requirement for statistical/data analysis skills to validate quality frameworks. Training in R, Python, or SAS for quantitative validation of data quality. Experience in training/education delivery skills for literacy programs. Certifications (Preferred): CDMP -DAMA Certified Data Management Professional DCAM -Data Management Capability Assessment Model CIPP/US or CIPP/E -Certified Information Privacy Professional Education: Bachelor's degree in Information Systems, Data Management, or related field. DUAL THREAT CANDIDATE: Blend of Both Roles Data Quality Analyst Data Quality Analyst plays the role of a detective, constantly auditing and evaluating datasets to identify issues before they become costly mistakes. Their work involves running quality checks, analyzing patterns of errors, and collaborating with data stewards to maintain accuracy. They focus on measuring, tracking, and improving data quality metrics. Conduct regular audits to identify data inconsistencies and inaccuracies. Develop automated validation processes to catch errors before data is used. Identify root causes of recurring data quality issues and recommend solutions. Create reports and dashboards that track data quality performance. Collaborate with engineers and stewards to improve data integrity. Data Steward Data Steward is the frontline defender of data integrity, responsible for maintaining standards, monitoring data consistency, and ensuring data is used correctly across different departments. They act as the bridge between business users and IT teams, making sure that data is both useful and properly managed. They don't just fix errors-they put systems in place to prevent them. Define and enforce data quality standards. Monitor data for errors, inconsistencies, and missing information. Work with teams to ensure proper data usage across the organization. Assist in implementing governance policies and compliance measures. Train employees on best practices for data entry and maintenance. Meet Your RecruiterSanjeev Kushwaha

Created: 2026-03-10