Data Governance Engineer- GLN

Data Governance Framework Development:

• Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization.
• Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements.

Data Quality Management:

• Define and enforce data quality standards, monitoring key data quality metrics.
• Identify, analyze, and resolve data quality issues across various data sources and platforms.
• Work with cross-functional teams to implement data quality improvement initiatives.

Data Lineage & Metadata Management:

• Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle.
• Work with data architects and engineers to establish and document data flows, transformations, and dependencies.

Data Security & Compliance:

• Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA).
• Implement data security controls to protect sensitive data and manage access to sensitive information.

Stakeholder Collaboration:

• Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance.
• Provide training and support for teams on data governance policies, best practices, and tools.

Data Governance Tools & Technologies:

• Lead the implementation and optimization of data governance tools and platforms.
• Continuously evaluate emerging tools and technologies to improve data governance processes.

Reporting & Documentation:

• Develop and maintain comprehensive data governance documentation and reports.
• Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement.

Data Governance Framework Development:

• Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization.
• Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements.

Data Quality Management:

• Define and enforce data quality standards, monitoring key data quality metrics.
• Identify, analyze, and resolve data quality issues across various data sources and platforms.
• Work with cross-functional teams to implement data quality improvement initiatives.

Data Lineage & Metadata Management:

• Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle.
• Work with data architects and engineers to establish and document data flows, transformations, and dependencies.

Data Security & Compliance:

• Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA).
• Implement data security controls to protect sensitive data and manage access to sensitive information.

Stakeholder Collaboration:

• Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance.
• Provide training and support for teams on data governance policies, best practices, and tools.

Data Governance Tools & Technologies:

• Lead the implementation and optimization of data governance tools and platforms.
• Continuously evaluate emerging tools and technologies to improve data governance processes.

Reporting & Documentation:

• Develop and maintain comprehensive data governance documentation and reports.
• Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement.