Global Data Quality Expert Lead @ING Hubs Romania
ING
București, Unknown, România
Contract
Competitive
OfficeManager
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.
Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:
The Mission
As a technology-enabled and digital-led bank, data is at the heart of everything we do. It powers how we measure risk, assess performance, and make decisions. To ensure we unlock the full value of our data, we must guarantee its completeness, accuracy, auditability, traceability, and protection. The Global Dataorganizationserves as the first line of defense in securing robust data chains, working in close collaboration with all functions, business lines, and countries across the Bank.
The Global Chief Data Office (CDO) plays a pivotal role in this mission. As a central organizational unit, the CDO partners with stakeholders across the enterprise to enable frictionless customer journeys, support ESG-driven innovation, and deliver data products that enhance decision-making. With emerging trends such as digital wallets on the horizon and increasing regulatory expectations around data governance, the CDO is evolving to meet these challenges head-on, ensuring our dataremainsboth a strategic asset and a safeguarded resource.
As part of the Global CDO organization, the Global Data Management department is tasked with developing our design capabilities andestablishinga comprehensive mandate for data frameworks and controls. The team defines, maintains, and continually enhances ING's global standards in areas such as Data Governance, Data Quality, Lineage, BCBS239 Reporting, End User Computing, AI and Data Ethics, Data Privacy, ensuring uniform application throughout the Bank and full alignment with both regulatory requirements (including BCBS239, GDPR, EU AI Act, DORA) and ING’s business objectives.
The DataQualitygovernance capability exists to defineminimumrequirements and controls ensuring data is reliably created,modified, and used, with clear work instructions integrated into the broader data management practice—enabling consistent implementation across operations and transformation teams within the CDOorganization.
The roleanchors onthe DQ controls in DM CS, including the controls for DQ rules/monitoring and DQ issue management/remediation.
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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