1. Support and augment the Data Governance lead to:
- Develop and articulate the organization's data governance vision, strategy, and roadmap.
- Define data governance objectives, priorities, and key performance indicators (KPIs).
- Establish governance structures, roles, and responsibilities to support effective data stewardship and accountability.
- Design, document, and implement data governance policies, standards, and procedures.
- Define data classification schemes, data ownership models, and data lifecycle management practices etc.
- Ensure alignment with regulatory requirements, industry standards, and best practices.
1. Data Quality Management
- Establish data quality standards, metrics, and monitoring mechanisms.
- Collaborate with data owners and stewards to identify data quality issues and root causes.
- Implement data quality improvement initiatives and corrective actions as needed.