Data Quality Governance Lead

Unison Group; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Unison Group is seeking a Data Quality Specialist to lead Data Quality Governance for strategic data and analytics initiatives. You will bridge business stakeholders with technical teams and drive the Data Quality Governance Framework, data quality requirements, and controls to ensure data is accurate and trustworthy for business use.

The role emphasizes collaboration with data engineers and analysts, driving data quality KPIs, and promoting governance across projects.

Qualifications

• Experience in data quality, governance, analytics or similar roles.
• Strong stakeholder engagement and facilitation skills.
• Translate business requirements into data quality needs.
• Strong analytical and problem-solving capabilities.
• Experience investigating data issues and root cause analysis.
• Excellent communication and documentation skills.

Responsibilities

• Lead implementation and adoption of the Data Quality Governance Framework.
• Define and maintain Data Quality rules, controls, standards, and processes.
• Engage stakeholders to understand data quality needs and requirements.
• Perform data analysis, profiling, validation, and root cause investigation.
• Identify, track, and drive resolution of data quality issues.
• Define and monitor Data Quality KPIs and reporting.
• Collaborate with delivery team to ensure correct DQ implementation.
• Support SIT, UAT, and production data validation activities.
• Promote Data Quality governance across the project.

Skills

Data quality

Data governance

Business analysis

Analytics

Stakeholder engagement

Power BI

Root cause analysis

Tools

SQL

Power BI

Job description

Unison Group is seeking a Data Quality Specialist to lead Data Quality Governance for strategic data and analytics initiatives. You will bridge business stakeholders with technical teams and drive the Data Quality Governance Framework, data quality requirements, and controls to ensure data is accurate and trustworthy for business use.

The role emphasizes collaboration with data engineers and analysts, driving data quality KPIs, and promoting governance across projects.