About the Role
You will ensure the platform is well governed, overseeing the data catalog, lineage, metadata, quality reporting, classification, and the documentation required for national data-management and privacy regulations. You will collaborate closely with engineers who build the pipelines and the team that manages the platform, acting as the primary liaison for auditors.
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What You Will Do
- Stand up and run the data catalog, lineage, and metadata capture across all pipelines and models.
- Define data-quality rules, enforce them, and publish the validation and quality reports.
- Classify every dataset under the client's scheme and specify the access rules each level needs; the operations team implements them.
- Keep the governance document set current: architecture updates, data models, lineage, catalog, metadata, quality, security, and access.
- Advise the data and ML engineers on privacy: masking, de-identification, and retention.
- Prepare the evidence for client and regulator audits, and write the governance sections of the architecture documents.
What You Need
- Knowledge of national data-management and personal-data-protection requirements (NDMO and PDPL in Saudi Arabia, or equivalent elsewhere).
- Understanding of cybersecurity controls as they apply to data: classification, access, and encryption policy.
- Experience with data catalog, lineage, and metadata tooling (any major tool; Google Data Catalog or Dataplex is a plus).
- Familiarity with data-quality frameworks and reporting.
- Knowledge of data classification schemes and classification-based access design.
- Experience in access-policy design: roles, RBAC matrices, least privilege.
- Proficiency in writing formal governance documents and audit evidence for a government or regulated client.
- Competence in SQL to profile and validate data independently.
Good to Have
- DAMA CDMP or equivalent certification; experience with government audits.
- Experience in master-data or reference-data management.
