- Company Name
- Apprize Technology Solutions
- Job Title
- Data Governance Specialist
- Job Description
-
Job title: Data Governance Specialist
Role Summary: Design and implement enterprise data governance, quality, and security frameworks to ensure accurate, compliant, and reliable data across all sources. Lead data cataloguing, lineage, monitoring, and access control, and develop best‑practice guidelines for ethical AI.
Expectations:
- Deliver robust data governance solutions that meet GDPR, AI Act, and other regulatory requirements.
- Maintain high data quality and integrity across the organization’s data landscape.
- Enable stakeholders to access accurate, trustworthy data while protecting privacy and security.
Key Responsibilities:
- Design and deploy data quality and health‑monitoring processes.
- Configure and support data governance tools (catalogue, lineage, metadata).
- Define and enforce data access controls, logging standards, and change management.
- Develop and maintain comprehensive data catalogues and lineage documentation.
- Monitor pipelines in real time and troubleshoot data issues.
- Produce and disseminate governance policies, guidelines, and best practices.
- Establish ethical AI frameworks and ensure compliance with AI regulations.
Required Skills:
- 15+ years of IT experience with a focus on data governance, management, or related fields.
- Expertise in data governance, quality, lineage, and metadata management tools.
- Strong understanding of GDPR, data protection laws, AI Act, and data security standards.
- Deep knowledge of data warehouse design, architecture, ETL, OLAP, and data mining techniques.
- Proficient with SQL, PostgreSQL, NoSQL, modelling tools, and real‑time monitoring solutions.
- Excellent analytical, problem‑solving, and communication skills in English.
Required Education & Certifications:
- University degree in IT, Computer Science, Data Science, or related discipline.
- Professional certifications in data governance, data quality, or data security (e.g., CDMP, DQM, CISSP) are preferred.