The Data Quality team is a newly created team within ING’s Business Shared Service, Manila Branch, responsible for activities that support effective data quality monitoring and remediation. It has a key role in supporting the ING’s global data management strategy and is focused on improving data quality across the bank. The Data Quality Specialist will work with data owners, data stewards, operational teams, IT engineers and other functions within the bank. He/ she will drive the Data Quality definition, measurement and monitoring, analysis of data quality issues and propose data quality remediation actions within the bank, as well as contribute to build a culture of continuous improvement in Data Quality.If you are good at:• Tracking and monitoring data quality indicators across the bank through data quality reports and dashboards in compliance with ING’s data quality framework.• Performing root cause analysis on prioritized data quality issues to determine appropriate fix forward and fix backward actions or remediation plans.• Working with key stakeholders to align expected turnaround times for remediation, gaining approval for suggested remediation actions, and coordinating the appropriate action with the teams that are responsible for executing those actions and monitor remediation actions till closure.If you can:• Understand banking regulations and gather data quality functional requirements in order to define and create data quality rules or standards for identified critical data elements in coordination with data owners, data stewards and operational teams• Work with IT engineers that will implement these data quality functional requirements in tooling.• Support the development of Data Quality tooling through testing the data quality programs that have been developed against the functional requirements that were defined.• Participate in central data cleansing activities to accelerate the data quality remediation.• Participate in improvement initiatives and projects.If You Are:• A graduate of Bachelor’s degree• Knowledgeable on Data Quality Management practices such as Data profiling, DQ Assessment, Data Cleansing, etc.• Able to understand the business context and regulatory requirements in order to define data quality functional requirements and standards.• Experienced with Data Quality related solutions.• Experienced in understanding data quality reports and dashboards and can effectively do root-cause analysis of data quality issues.• Experienced in developing solutions for remediating various data quality issues or a similar role that requires problem solving and stakeholder management.• Skilled in communicating on complex topics and solutions and must be open to ideas from others. You can create appropriate data quality remediation plans and coordinate effectively to gain approval for the execution.• Comfortable working in in an international context.• Transparent, flexible and motivated to make every day a success