
AI-Powered Data Governance Specialist
7 days ago
We are seeking a highly skilled AI-Powered Data Governance Expert to join our team. As a key member of our data governance team, you will play a critical role in managing and optimizing our organization's data assets.
About the RoleIn this exciting position, you will be responsible for understanding enterprise data flow and integrations, developing AI-driven strategies for data quality improvement, and supporting data governance initiatives.
- Key Responsibilities:
- Develop and maintain comprehensive process documentation to support AI-enhanced data management activities.
- Build and monitor compliance and audit reports to ensure adherence to data governance standards.
- Collaborate with data stewards to identify, resolve, and prevent data quality issues.
- Manage data migration projects for acquired organizations, ensuring data integrity and consistency.
- Conduct regular data quality assessments and audits to identify anomalies and areas for improvement.
- Implement data stewardship practices to enhance data accuracy, reliability, and accessibility.
- Establish and maintain data governance frameworks, incorporating AI methodologies to support organizational data policies.
- Manage metadata to ensure proper documentation and data lifecycle management.
To be successful in this role, you will need:
- 2-5 years of functional experience in data governance, with functional knowledge of data cataloguing tools.
- Proficiency in data analysis using SQL, Excel, and AI tools to derive actionable insights.
- Strong knowledge of data governance frameworks and best practices, with an understanding of data compliance.
- Familiarity with data quality assessment, auditing processes, and AI techniques for maintaining high data standards.
- Excellent analytical and problem-solving abilities, including experience with AI-driven data analysis.
- Strong communication and collaboration skills to effectively work with stakeholders and cross-functional teams.
- Knowledge of regulatory requirements related to data management, protection.
- Familiarity with data modelling and design concepts.
- Understanding of data governance principles and standards, to guide data stewardship activities.
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