Data Steward

Data Steward

We are seeking a meticulous and knowledgeable Data Steward to oversee the integrity, compliance, and usability of organizational data. In this pivotal role, you will champion data governance initiatives, manage metadata cataloging, and ensure adherence to industry standards and regulations. Your expertise will support the development of a trustworthy data environment, empowering teams with accurate and well-managed information.

Key Responsibilities:

• Implement and maintain data governance policies, ensuring data quality, consistency, and security across the organization.
• Manage metadata cataloging and facilitate the adoption of tools such as Collibra, Alation, or Apache Atlas to enhance data discovery and lineage tracking.
• Lead Master Data Management (MDM) initiatives, coordinating data definitions and standards across departments.
• Conduct rigorous data validation and quality assessments using statistical techniques and tools like R, Python, or SAS to support compliance and audit readiness.
• Develop, document, and enforce stewardship policies, compliance reports, and data quality frameworks.
• Collaborate with stakeholders to define data stewardship roles, deliver training programs, and promote understanding of data literacy principles.
• Perform compliance audits aligned with standards such as NIST CSF, IRS Pub 1075, HIPAA, and CJIS, utilizing tools like SQL Server, Red-Gate SQL Monitor, and BI platforms like Power BI or Tableau.
• Produce comprehensive documentation for data management processes, quality metrics, and audit findings.

Qualifications:

• Bachelor’s degree in Information Systems, Data Management, or a related field.
• 5–7 years of experience in data governance, stewardship, compliance, or related roles.
• Hands-on experience with metadata management and cataloging tools (Collibra, Alation, Apache Atlas).
• Strong background in Master Data Management (MDM) initiatives.
• Knowledge of regulatory and compliance standards, including NIST CSF, IRS Pub 1075, HIPAA, and CJIS.
• Proficiency in statistical/data analysis and certification in R, Python, or SAS for data validation.
• Demonstrated ability to develop and deliver training on data literacy and stewardship topics.
• Excellent documentation, communication, and organizational skills.
• Certifications such as CDMP, DCAM, or CIPP are preferred.

Technical Skills:

• SQL Server (constraints, triggers, automation)
• Metadata/cataloging tools (Collibra, Alation, Apache Atlas)
• Data quality frameworks (Great Expectations, Soda)
• BI tools (Power BI, Tableau)
• Statistical analysis software (R, Python, SAS)

Pay Range: $46.00 – $50.00 Hourly