1    Enforce data governance policies and procedures. Ensure data management practices align with organizational standards.
2    Implement and enforce data quality standards and procedures. Monitor data quality metrics and identify areas for improvement. Collaborate with data owners and stakeholders to resolve data quality issues.
3    Oversee the lifecycle of data from creation to archival or deletion. Develop data retention policies and procedures. Coordinate data archiving and purging activities as necessary. 
4    Maintain metadata repositories and data dictionaries. Document data lineage, definitions, and business rules. Facilitate metadata discovery and data cataloging efforts.
5    Support data integration initiatives and ensure data consistency across systems. Collaborate with IT teams to establish master data management processes. Identify opportunities for data consolidation and standardization.
6    Provide training and guidance to users on data management best practices. Raise awareness of data governance principles and policies. Foster a culture of data stewardship and accountability across the organization 
7    Stay updated on industry trends and best practices in data management. Continuously monitor and take corrective actions. Evaluate and implement new data management tools and technologies, while ensuring they are effectively integrated.
8    Implement data security measures to protect sensitive information. Ensure compliance with data privacy regulations such as GDPR, DPDP, etc. Monitor access controls and permissions to safeguard data integrity.

1    A Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. Advanced degrees or relevant certifications (e.g., CDMP) are advantageous
2    At least 7-10 years of experience in data management, data governance, or a related field. Proven experience in managing data quality and governance initiatives
3    Strong understanding of data management principles, including data quality, data integration, and data lifecycle management. Proficiency in data governance tools and technologies.
4    Experience in coal mining is highly beneficial. Understanding of mining-specific data requirements and challenges
5    Deep understanding of data sources, formats, and structures. Proficiency in data manipulation and transformation. Knowledge of SQL and other database query languages. Familiarity with data warehousing, data modeling, and data profiling. Understanding of data privacy regulations and security measures.
6    Ability to support data quality assessments and implement improvement plans. Experience with data profiling, cleansing, validation, and enrichment. Proficiency in using data cataloging tools.
7    Strong domain understanding of the organization's business processes and objectives. Ability to align data management activities with business needs.
8    Strong analytical and problem-solving skills to address complex data issues and implement effective governance strategies. Ability to document data definitions, classifications, and lineage.
9    Excellent project management skills. Ability to influence and collaborate with stakeholders at various levels in the organization
10    Good understanding of data privacy laws and standards (e.g., GDPR, DMBoK, DPDP, etc.) and their implications for data management.
11    Excellent communication skills to convey complex insights to non-technical stakeholders.
12    Experience in driving change and fostering a data-driven culture.
13    Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
14    A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization.