Data Quality lead

Han IT Staffing

Location not stated
Staff / Principal
10 months ago

triage
Incident Management

10 months ago

Not enough detail in this posting to match

Data quality strategy and maturity growth • Define and drive the enterprise data quality strategy and roadmap, ensuring it is embedded in the organization's overall data strategy and transformation agenda • Drive enterprise-wide maturity growth, shifting from reactive cleanup to proactive, prevention-first practices • Oversee the design, rollout, and ongoing enhancement of an enterprise data quality dashboard and automated reporting, ensuring visibility of quality KPIs across all domains for all stakeholders Enterprise quality standards & rule governance • Establish and enforce enterprise-wide data quality standards aligned with governance policies, business requirements, and regulatory obligations • Govern the end-to-end lifecycle of data quality rules - from intake and design to approval, deployment, and retirement - ensuring traceability to business requirements and clear ownership • Approve critical rule definitions and thresholds, ensuring accountability and remediation paths are in place Integration of data quality into engineering and release processes • Ensure data quality controls are embedded by design into data product development and release processes, partnering with IT Delivery and Architecture teams to institutionalize quality gates Monitoring, issue triage, root-cause analysis, and remediation • Own the enterprise data quality monitoring and incident management process, ensuring effective triage, escalation, root cause analysis, resolution and communication • Validate that corrective and preventive measures are sustainable and embedded into business and technical processes Master and reference data management, matching, and survivorship (with MDM team) • Define and govern standardization, matching, de-duplication, and survivorship logic for master and reference data domains in partnership with MDM teams • Enforce harmonization of reference data across systems, and partner with Data Stewards / Data Domain Leads to ensure upstream governance and prevention of duplication or conflicts

Data Quality lead · Han IT Staffing

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