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.
Requirements
Experience:
7+ years of experience in data governance, data management, or related fields.
Proven track record in implementing data governance frameworks and policies at an enterprise level.
In-depth knowledge of data governance concepts, including data quality, data lineage, metadata management, and data security.
Technical Skills:
Experience with data governance tools such as Collibra, Informatica, Alation, or similar.
Strong understanding of databases, data warehousing, and big data platforms (e.g., Hadoop, Spark).
Familiarity with data integration, ETL processes, and data modeling.
Proficiency in SQL and other scripting languages (e.g., Python, Shell).
Regulatory Knowledge:
Solid understanding of data privacy and compliance regulations (GDPR, CCPA, HIPAA, etc.).
Ability to assess and mitigate compliance risks related to data handling.
Soft Skills:
Excellent communication and interpersonal skills.
Strong problem-solving skills and the ability to collaborate across teams.
Ability to manage multiple projects and deadlines in a fast-paced environment.
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