Data Governance
2 weeks ago
The Data Governance & MDM Specialist will play an essential role within the Digital Business & Technology department. This unique position merges several key responsibilities, including data governance implementation, MDM execution, and data stewardship, ensuring high-quality data management across the organization.
Key Responsibilities
Data Governance and Management:
- Support the creation and implementation of a robust data governance framework.
- Develop and manage data ownership models and stewardship programs.
- Maintain up-to-date data policies, standards, and procedures.
- Execute and monitor data quality frameworks and key metrics.
- Manage the data catalog and business glossary, ensuring accurate documentation of data assets and lineage.
- Oversee data lifecycle management to ensure compliance with governance policies.
- Collaborate with regional teams to ensure consistent implementation of governance practices.
- Work closely with Data Owners, Legal, and DPO teams to ensure alignment on governance practices.
Master Data Management:
- Lead the implementation of MDM projects across various domains.
- Manage reference data solutions and harmonization processes.
- Design and implement master data models and hierarchies.
- Enforce data quality rules for master data.
- Ensure alignment of MDM practices with regional teams.
- Support the maintenance of enterprise data models.
- Document and map data lineage.
- Contribute to data warehouse design and integration initiatives.
Business Collaboration & Execution:
- Work with cross-functional teams to identify and resolve data-related challenges impacting operations.
Qualifications & Skills:
- Bachelor's degree in Computer Science, Data Science, or a related field; Master's degree is a plus.
- 5+ years of hands-on experience in data governance, MDM, or similar roles.
- Strong understanding of data flows, integration, and architecture principles.
- Practical knowledge of data governance frameworks (e.g., DAMA, DCAM).
- Experience with MDM implementation and data quality management.
- Proficiency in SQL and data modeling tools.
- Expertise in BI tools such as Power BI and Looker Studio.
- Deep knowledge of ETL processes and integration techniques.
- Excellent communication, problem-solving, and analytical skills.
- Experience in driving organizational change and managing projects.
- Ability to work effectively in a multicultural environment.
- Fluency in English is essential; additional knowledge of Arabic or French is a plus.
- Relevant certifications in data governance or MDM are advantageous.
- Familiarity with platforms like Google Cloud and MS Fabric is a plus.
- Ability to work independently as well as part of a collaborative team.
Mid-Senior level
Employment TypeFull-time
Job FunctionInformation Technology and Analyst
IndustriesUtilities
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