Senior Data Governance Lead
7 days ago
Job Description
- Develop and implement a comprehensive data governance strategy, including policies, standards, and procedures, to ensure data integrity, security, and compliance with regulatory requirements (e.g., GDPR, PDPO).
- Lead the establishment of a data governance framework, including the definition of roles, responsibilities, and accountability for data ownership and stewardship.
- Oversee the design and implementation of metadata management, data lineage, and data cataloging processes to enable transparency and traceability of data assets.
- Monitor and enforce data governance practices, ensuring adherence to internal policies and external regulations.
- Conduct regular data quality assessments, identify gaps, and drive initiatives to enhance data accuracy, consistency, and usability.
- Provide leadership and guidance to cross-functional teams on data governance best practices, tools, and frameworks.
- Collaborate with IT teams to evaluate, select, and implement data governance tools and platforms (e.g., Databricks, Azure Purview, Collibra, Alation).
- Stay updated on industry trends, emerging technologies, and regulatory changes related to data governance, and ensure the organization remains compliant and competitive.
- Act as a trusted advisor to senior leadership on data governance matters, providing strategic insights and recommendations.
Key Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. A Master's degree is preferred.
- Minimum of 10 years of experience in data governance, data management, or a related field, with at least 5 years in a leadership or managerial role.
- Deep understanding of data governance frameworks, principles, and best practices.
- Proven experience with data governance tools and platforms (e.g., Collibra, Alation, Informatica, Databricks, Azure Purview).
- Strong knowledge of data privacy regulations (e.g., GDPR, PDPO) and their implications for data governance.
- Expertise in data quality management, metadata management, and data lineage concepts.
- Excellent leadership, communication, and stakeholder management skills, with the ability to influence and drive change at all levels of the organization.
- Strong analytical and problem-solving abilities, with a strategic mindset.
- Relevant certifications (e.g., CDMP, DGSP, or cloud certifications in Azure/Databricks) are a plus.
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