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:
- At ING, we're building the solutions of tomorrow, today | 80% of our colleagues in Romania agree
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 Data organization serves 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 data remains both 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 and establishing a 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 Data Quality governance capability exists to define minimum requirements 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 CDO organization.
The role anchors on the DQ controls in DM CS, including the controls for DQ rules/monitoring and DQ issue management/remediation.
In the role of Global Expert Lead – Data Quality, you are accountable for the design, ownership, and continuous evolution of ING’s global Data Quality (DQ) governance framework—including principles, minimum requirements, and key controls—so that data is fit-for-purpose across its lifecycle (creation, modification, usage).
You establish a risk-based, scalable governance approach that supports both regulatory and business needs, and you translate governance requirements into actionable work instructions enabling consistent adoption across reporting, End User Computing (EUC), and broader data management practices within the CDO organization.
Within the Global CDO organization, the Data Quality governance capability is anchored in the global framework and key controls as defined in the Data Management Control Standard (DM CS), including the DQ controls covering rules/monitoring and issue remediation.
You will represent Global 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 an Expert Lead – Data Quality Governance, you will:
1) Framework design & ownership
Design, maintain, and own the global Data Quality governance framework (principles, minimum requirements, roles & responsibilities, and alignment to the DQ Target Operating Model).
Ensure governance covers the end-to-end data lifecycle and supports consistent implementation for both local and global regulatory 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 Quality Key Controls across relevant Data Management control standards, including the controls for:
DQ rules defined/validated/implemented/reviewed and performance monitored through dashboards (DMA #5 in DM CS).
DQ issues identified and 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 and maintain the monitoring approach (control testing, dashboards, thresholds, management reporting) ensuring controls measure, monitor, and report on DQ risk and performance.
3) Adoption & oversight
Establish mechanisms to monitor adoption and adherence to DQ governance principles and minimum requirements across domains and countries.
Drive timely follow-up where gaps are identified, ensuring appropriate actions are taken in cases of non-compliance.
4) Integration with data lifecycle & operations (Reporting + EUC + Data Management)
Ensure governance coverage across data creation, transformation, and usage layers, including reporting and EUC environments.
Translate governance requirements into standardized work instructions for operational and transformation teams, enabling repeatable execution.
Enable clear linkage between DQ governance, data management controls, and operational execution across the CDO organization.
5) Tooling & capability enablement
Partner with platform and technology teams to ensure governance requirements are implementable and 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 as Subject 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.
Experience operating in 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.
If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).
Skills Required
- 8+ years of experience in data governance, data quality management, or related fields
- Proven experience designing and implementing DQ governance frameworks
- Strong understanding of data quality concepts including rules and issue management
- Master's degree in a relevant field
- Excellent level of English
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
