Global Data Quality Expert Lead @ING Hubs Romania

In the role ofGlobalExpert Lead – Data Quality, you are accountable for thedesign, ownership, and continuous evolution of ING’s global Data Quality (DQ) governance framework—including principles, minimum requirements, and key controls—so that data isfit-for-purpose across its lifecycle(creation, modification, usage). 

Youestablisharisk-based, scalable governance approachthat supports bothregulatory and business needs, and you translate governance requirements intoactionable work instructionsenabling consistent adoption acrossreporting,End User Computing (EUC), and broaderdata managementpractices within the CDOorganization. 

Within the Global CDOorganization, the Data Quality governance capability is anchored in the global framework and key controls as defined in theData Management Control Standard (DM CS), including the DQ controls covering rules/monitoring and issue remediation.

You willrepresentGlobal Data Management across ING, partnering with stakeholders spanning global and local data functions, and acting as a senior point of accountability for DQ governance outcomes. 

Your day to day

As anExpert Lead – Data Quality Governance, you will:

1) Framework design & ownership

• Design,maintain, and own theglobal Data Quality governance framework(principles,minimumrequirements, roles & responsibilities, and alignment to the DQ Target Operating Model). 

• Ensure governance covers theend-to-end data lifecycleand supports consistent implementation for bothlocal and globalregulatory and business needs. 

• Maintain clear, practical guidance and work instructions that integrate DQ standards with broader data management practices. 

2) Control design & monitoring

• Design and own Data QualityKey Controlsacross relevant Data Management control standards, including the controls for: 

• DQ rules defined/validated/implemented/reviewedand performancemonitoredthrough dashboards(DMA #5 in DM CS). 

• DQ issuesidentifiedand remediation process in place (RCA,prioritization, expected resolution date, assignment)(DMA #6 in DM CS). 

• Data Quality and processing integrity of relevant UDAs(A6 in EUC CS)

• Accuracy of the report(KC #3 in BCBS239 Reporting CS)

• Define andmaintainthemonitoring approach(control testing, dashboards, thresholds, management reporting) ensuring controls measure, monitor, and report onDQ risk and performance. 

3) Adoption & oversight

• Establish mechanisms tomonitoradoption and adherenceto DQ governance principles andminimumrequirements across domains and countries. 

• Drivetimelyfollow-up where gaps areidentified, ensuringappropriate actionsare taken in cases of non-compliance.  

4) Integration with data lifecycle & operations (Reporting + EUC + Data Management)

• Ensure governance coverage acrossdata creation, transformation, and usage layers, includingreportingandEUCenvironments. 

• Translate governance requirements intostandardizedwork instructionsfor operational and transformation teams, enabling repeatable execution. 

• Enable clear linkage between DQ governance, data management controls, and operational execution across the CDOorganization. 

5) Tooling & capability enablement

• Partner with platform and technology teams to ensure governance requirements areimplementableand embedded into delivery. 

6) Risk & regulatory alignment

• Ensure alignment with Non-Financial Risk standards and relevant regulatory frameworks (including BCBS 239 where applicable). 

7) Audit, expertise & stakeholder enablement

• Act asSubject Matter Expert (SME)for Data Quality in internal and external audits, explaining design choices, evidence, and control effectiveness. 

• Provide guidance, training, and enablement so that global and local data functions consistently apply DQ standards and procedures. 

What you'll bring to the team

• 8+ years of experience in one or more of: data governance, data quality management, risk/control frameworks, audit, regulatory change, or data management in banking/regulated environments. 

• Proven experience designing and implementing DQ governance or control frameworks end-to-end (design → rollout → monitoring → continuous improvement). 

• Strong understanding of DQ concepts including rules, monitoring/dashboards, issue management, remediation governance, and lifecycle coverage. 

• Experienceoperatingin a multi-stakeholder environment across global/local teams.

• Ability to define workable requirements for DQ tooling and partner with technology teams to implement them. 

• Strong analytical and communication skills; able to produce audit-ready documentation and explain decisions succinctly.

• Master’s degree (or equivalent) in a relevant field.

• Excellent level of English.

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