Level

ING

Data Quality Expert II

ING is hiring a Data Quality Expert II. Level rates it ; you can apply on ING.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions data governance, data quality and root cause analysis among its tools and skills.
  • Level classes it as a mid-level role.
  • ING has 740 other open roles on Level.
  • Posted in the last few days.

AI in this role

Monitor, investigate, and remediate data quality issues to ensure data integrity and compliance across global banking operations.

data-governancedata-qualityroot-cause-analysisstakeholder-management
Data Quality Expert 

Shape the Future of Data Quality at ING

At ING Hubs Philippines, data is at the heart of every decision we make. As we continue our evolution as a digital-led and data-driven global bank, we're looking for a Data Quality Expert to help strengthen the integrity, reliability, and governance of data across our global organization. This is an opportunity to play a pivotal role in ensuring trusted data that supports regulatory compliance, business performance, risk management, and innovation.

 

About the Team

ING Hubs Philippines is one of ING's largest and most dynamic global centers of excellence. Since its establishment in 2013, it has grown from 27 employees to more than 6,000 professionals delivering operational, technology, analytics, risk, and data capabilities across nearly 40 countries.

You will join the newly established Data Quality Team, a strategic function dedicated to enabling enterprise-wide data quality monitoring, remediation, and continuous improvement. The team works closely with global stakeholders to ensure data is accurate, complete, traceable, and compliant with ING's data governance standards.

 

Your Impact

As a Data Quality Expert, you will help drive the operational delivery of data quality services across ING's global network. You will collaborate with colleagues from ING Hubs Philippines, ING Hubs Romania, and the global data management community to identify data quality issues, implement remediation strategies, and promote a preventive data quality culture across the organization.

 

What You'll Do

  • Monitor and track data quality indicators through reports, dashboards, and controls aligned with ING's Data Quality Framework.
  • Analyze and investigate data quality issues through root cause analysis.
  • Design and coordinate remediation plans to resolve data quality gaps effectively.
  • Partner with business and data stakeholders to define data quality requirements and standards for critical data elements.
  • Collaborate with technology teams to translate business requirements into data quality solutions and tooling.
  • Support testing and validation of data quality programs and controls.
  • Participate in data cleansing and remediation initiatives to improve data integrity.
  • Contribute to continuous improvement projects and strategic data quality initiatives.
  • Drive stakeholder engagement and coordinate actions through issue resolution and closure.

 

What We're Looking For

Required Qualifications

  • Bachelor's degree in any relevant discipline.
  • Experience or knowledge in Data Quality Management practices such as:
    • Data Profiling
    • Data Quality Assessment
    • Data Cleansing
    • 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.
  • A proactive, transparent, and collaborative mindset.

Preferred Qualifications

  • 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.

 

Why ING?

  • Work That Matters

Help build the data foundation that supports critical business decisions, regulatory compliance, and customer-focused innovation across a global bank.

  • Global Exposure

Collaborate with international teams and stakeholders across multiple countries and business domains.

  • Growth & Development

Expand your expertise in data quality, data governance, and enterprise-scale transformation initiatives while working alongside industry professionals.

  • A Culture of Empowerment

Enjoy a collaborative workplace that values flexibility, continuous learning, inclusion, and innovation

 

How to Apply

Click the application button on our career site and submit your application through Workday. We look forward to learning more about you.

 

Equal Opportunity

Don't meet every single requirement? Apply anyway. Research shows that many talented candidates only apply when they meet all qualifications. If this role excites you, we'd love to hear from you.

 

Job Application Safety Reminder

We're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:

  • Apply only via official ING platforms. ING uses Workday as its internal recruitment system.
  • Check the sender's email carefully. Legitimate communication will only come from@ing.com and/or@myworkday.com.
  • ING will never ask for payments, banking details, or financial information during the recruitment process.

 

About ING

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse, and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

 

How we rate this

Data Quality Expert II at ING rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data GovernanceData QualityRoot Cause AnalysisStakeholder Management

Questions you could be asked

  1. Tell me about a project where data governance was part of your work. What did you do?
  2. Tell me about a project where data quality was part of your work. What did you do?
  3. Tell me about a project where root cause analysis was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Governance, Data Quality, Root Cause Analysis, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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