This Data Steward would: - Ensure datasets in the Data Warehouse and Databricks meet governance and quality standards.
- Maintain metadata and lineage in VAULTIS.
- Partner with DT and business process owners to enforce best practices ownership, traceability, and continuous improvement.
1. Data Quality Management - Monitors data accuracy, completeness, timeliness, and consistency.
- Identifies data issues and coordinates corrections with business or IT teams.
- Implements validation rules and supports automated quality checks (DQM).
2. Metadata & Catalog Management - Maintains data definitions, lineage, and ownership in governance tools (e.g., Axon, Informatica, Collibra, VAULTIS).
- Ensures metadata is up to date, standardized, and compliant with naming conventions.
3. Policy & Governance Enforcement - Ensures compliance with organizational data governance standards.
- Works with Data Owners and Data Governance Teams to define and apply data policies.
- Participates in governance councils or CORE process reviews.
4. Business & Technical Collaboration - Acts as a liaison between business stakeholders and data engineers.
- Helps translate business requirements into clear data definitions and processes.
- Supports audits, root cause analysis, and data lineage tracking.
5. Continuous Improvement - Recommends process or tool improvements to strengthen data integrity.
- Tracks recurring data issues and ensures they re addressed at the source.
Qualifications Education: - Bachelor s degree in Data Management, Information Systems, Computer Science, or a related field.
- Master s degree or certification (like CDMP Certified Data Management Professional) is a plus.
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Skills Required: Skills: - SQL and PBI knowledge
- Strong knowledge of data governance frameworks (e.g., DAMA-DMBOK, VAULTIS).
- Familiarity with data management tools (Axon, EDC, Informatica, Collibra, Power BI, SQL, Databricks).
- Solid understanding of data modeling, lineage, and metadata management.
- Analytical and communication skills to work across business and technical teams.
- Attention to detail, documentation discipline, and process orientation.
Experience: - 3 5 years in data analysis, data governance, or information management.
- Proven track record of supporting enterprise data initiatives.
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