
Data Governance Senior Specialist
4 days ago
The Senior Data Governance Specialist is responsible for establishing and maintaining effective data governance practices, data related process management, analysis and coordination across all the data domains, to ensure that an organization's data is managed strategically, ethically, and in accordance with regulatory requirements.
Main Accountabilities
- Enforces data and quality standards and monitors compliance; Ensures that data related decisions are communicated, and IT and business understand the impacts
- Supports the definition of data quality metrics, monitors data quality metrics and prepares / publishes data quality scorecards
- Designs and implements data models (relational and document-based) and applies data quality rules in collaboration with Data Stewards and Domain Owners
- Coordinates the preparation and maintenance of Data Governance documentation and supports internal/external audits
- Participates in developing Data Governance processes, identifying data quality issues, and proposing improvements
- Works with stakeholders to establish and enforce data standards, ensuring compliance with data policies and regulations
- Supports the consolidation and reporting of data quality metrics and contributes to the organization's data governance initiatives
- Promotes data awareness by conducting training sessions and fostering a culture of data responsibility.
Requirements
Education, Experience and Technical Skills
- BSc in a field such as Computer Science, Information Management, Data Science, Business Analytics, or a related discipline is required
- MSc or additional certifications in Data Governance, Data Management, or a related field can be advantageous
- At least 3 years of relevant experience in data management, data governance, or related roles
- Progressive experience in implementing and managing data governance frameworks and initiatives
- Proficiency in using data governance tools, metadata management tools, and data quality tools
- Understanding of data modeling concepts and proficiency in related tools
- Familiarity with various database systems (relational and non-relational), including SQL proficiency
- Knowledge and experience in implementing data quality management practices
- Understanding of data protection laws and regulations, with the ability to ensure compliance within the organization
- Understanding of existing technology architecture and data tools (e.g. data cleansing, metadata etc.)
Competencies
- Root cause analysis skills and communication skills
- Ability to understand business requirements and balance them with IT capabilities
- Ability to assess data changes for technology impacts and in-depth understanding of Data Governance benefits
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