Data Quality Lead: Drive Trusted Data & Insights

Capgemini; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Diversity & Inclusion

Career growth programs

Impactful experiences

Job summary

Capgemini is seeking a Data Quality Lead to drive profiling and quality assessments across key data domains. You will define quality rules, KPIs, and scorecards for critical data elements, and lead remediation efforts to improve data reliability and outcomes.

The role requires 10–15 years in data quality/governance, advanced SQL, and experience with tools such as Informatica IDQ/CDQ, Ataccama, and Great Expectations. Collaboration with business, governance, and architecture teams is essential.

Qualifications

• 10–15 years of experience in Data Quality, Data Governance, Data Management, or related fields.
• Hands-on with data quality/profiling tools (IDQ/CDQ, Ataccama, Talend DQ, Great Expectations, Deequ).
• Strong understanding of data quality dimensions and management practices.
• Advanced SQL and data profiling skills.

Responsibilities

• Lead data profiling and quality assessments across critical data domains.
• Define and implement data quality rules, thresholds, KPIs, and scorecards for CDEs.
• Assess data against completeness, validity, accuracy, consistency, uniqueness, and timeliness.
• Identify, analyze, and prioritize data quality issues by business impact.
• Perform root cause analysis and recommend remediation actions.
• Collaborate with business, governance, and technology teams to fix issues.
• Monitor data quality metrics and drive continuous improvement initiatives.

Skills

Data governance

Data quality

SQL

Data profiling

Stakeholder management

Root cause analysis

Data management

Tools

Informatica IDQ/CDQ

Ataccama

Talend DQ

Great Expectations

Deequ

Job description

Capgemini is seeking a Data Quality Lead to drive profiling and quality assessments across key data domains. You will define quality rules, KPIs, and scorecards for critical data elements, and lead remediation efforts to improve data reliability and outcomes.

The role requires 10–15 years in data quality/governance, advanced SQL, and experience with tools such as Informatica IDQ/CDQ, Ataccama, and Great Expectations. Collaboration with business, governance, and architecture teams is essential.