Enterprise Data Management Lead
3 days ago
As an Enterprise Data Management Lead at Globe Telecom, you will be responsible for developing and implementing effective data management strategies to ensure the accuracy and reliability of our data assets. This position requires a strong understanding of data governance principles and practices to establish a framework for data quality objectives aligned with our Data Governance Policies.
Key Responsibilities:
- Establish data quality objectives aligned with Data Governance Policies, ensuring that they are clearly defined, measurable, and achievable.
- Develop and execute proper data collection procedures, policies, and guidelines to ensure high-quality data inputs for analytics and reporting purposes.
- Define, track, and manage Data Quality Key Performance Indicators (KPIs) across the enterprise, monitoring data quality metrics and performance against established benchmarks.
In addition to your technical skills, you will also be responsible for collaborating with reporting, analytics, and operational segments to ensure data quality standards are met, and errors and root causes are identified. If you have a passion for data management and governance, and are looking for a challenging role that offers opportunities for growth and development, we encourage you to apply for this position.
KPIs:
- Data Quality Index (DQI): Assess the overall quality of data across the enterprise, considering factors such as accuracy, completeness, consistency, and timeliness.
- Data Issue Resolution Time: Monitor the time taken to identify and resolve data quality issues reported by various stakeholders.
- Compliance with Data Governance Policies: Ensure adherence to established data governance policies and procedures, including alignment of data quality objectives with governance policies.
- Data Cleansing Effectiveness: Evaluate the effectiveness of data cleansing initiatives by measuring the reduction in data errors and inconsistencies.
- Stakeholder Satisfaction: Measure stakeholder satisfaction with data quality improvements and initiatives through regular surveys or feedback sessions.
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