- Define and implement the Data Quality framework, dimensions, standards, and policies.
- Identify DQ rules for Key Data Elements (KDEs) and conduct profiling/quality assessments.
- Establish DQ baselines, targets, scorecards, dashboards, and KPIs.
- Implement DQ monitoring, controls, thresholds, alerts, and reporting.
- Lead root cause analysis, incident management, remediation, and SLAs.
- Establish data certification and audit processes.
- Collaborate with data engineers, domain teams, and DQ developers.
- Support DQ tools/platforms such as Atacama and drive continuous monitoring