Data Quality Expert II

Location: Manila, One Ayala Tower 2

Company

hirify.global Philippines is a global center of excellence providing operational, technology, analytics, risk, and data capabilities across approximately 40 countries.

What you will do

• Monitor data quality indicators through reports, dashboards, and controls aligned with ING's Data Quality Framework.
• Investigate data quality issues, perform root cause analysis, and recommend sustainable solutions.
• Design and coordinate remediation plans, data cleansing activities, and issue resolution through closure.
• Define data quality requirements and standards for critical data elements with business and data stakeholders.
• Collaborate with technology teams to translate business requirements into data quality solutions and tooling.
• Support testing, validation, continuous improvement projects, and strategic data quality initiatives.

Requirements

• Bachelor's degree in any relevant discipline.
• Experience or knowledge of Data Quality Management practices, including data profiling, data quality assessment, data cleansing, and data quality monitoring.
• Strong analytical and problem-solving skills.
• Experience interpreting data quality dashboards and reports.
• Ability to perform root cause analysis and recommend sustainable solutions.
• Strong stakeholder management and communication skills.
• Ability to work effectively in an international and cross-functional environment.
• Proactive, transparent, and collaborative mindset.

Nice to have

• Experience working with Data Quality tools and platforms.
• Exposure to banking, financial services, risk management, or regulatory environments.
• Experience supporting data governance, remediation, or data transformation initiatives.

Culture & Benefits

• Work on data foundations supporting business decisions, regulatory compliance, and customer-focused innovation across a global bank.
• Collaborate with international teams and stakeholders across multiple countries and business domains.
• Develop expertise in data quality, data governance, and enterprise-scale transformation initiatives.
• Work in a collaborative environment focused on flexibility, continuous learning, inclusion, empowerment, and innovation.

Hiring process

• Submit an application through the ING career site and Workday.