Data Management Expert

h3Data Management Expert (Medior / Senior) /h3 h3Shape the future of Data, Analytics AI at ING /h3 pData is one of ING’s most strategic assets. It powers decision-making across the bank, enables regulatory compliance, supports advanced analytics and AI and helps create better experiences for our customers. /p pAs a Data Management Expert, you play a key role in ensuring that data is trusted, discoverable, governed and reusable across the organization. You bridge business, data and technology, transforming complex business needs into scalable data solutions that create tangible value. /p pYou will work within an international environment alongside Data Engineers, Product Leads, Data Stewards, Architects and Business stakeholders across Belgium, Romania and India, contributing to ING’s next-generation data platform. /p h3Your role /h3 pAs a Data Management Expert, you are the trusted partner for all data-related topics within your domain. /p pYou help business teams understand, govern and leverage their data while ensuring that it is properly integrated into ING’s data ecosystem. /p h3You will /h3 h3Drive data onboarding and governance /h3 ul liAnalyze business processes, source systems and data assets. /li liDefine how data should be sourced, modeled, governed and consumed. /li liEnsure data is compliant with governance, privacy, security and regulatory requirements. /li liManage and maintain business metadata, data definitions and ownership responsibilities. /li liSupport the implementation of Data-as-a-Product principles across your domain. /li /ul h3Bridge business and technology /h3 ul liTranslate business objectives into clear and actionable data requirements. /li liCreate functional specifications for Data Engineers and DevOps teams. /li liCollaborate closely with architects and engineering teams to design sustainable solutions. /li liValidate delivered data products and ensure they meet business expectations. /li liSupport adoption by promoting a clear understanding of available data assets. /li /ul h3Improve data quality and trust /h3 ul liDefine and monitor data quality requirements. /li liIdentify root causes of data issues and coordinate remediation activities. /li liIncrease transparency through data lineage and metadata management. /li liPromote a culture of accountability and ownership around data. /li /ul h3Enable analytics, AI and innovation /h3 ul liHelp make trusted and high-quality data available for reporting, analytics and AI use cases. /li liIdentify opportunities for automation and simplification. /li liChallenge existing processes and actively contribute to improving the organization’s data maturity. /li liBring innovative ideas to improve the efficiency and effectiveness of data management activities. /li /ul h3What you bring /h3 pWe’re looking for professionals who combine business understanding, analytical thinking and a passion for data. /p h3Must-have experience /h3 ul li3+ years (Medior) or 5+ years (Senior) of experience in Data Management, Data Governance, Business Analysis, Data Warehousing or related domains. /li liStrong understanding of: Data Governance Data Quality Metadata Management Data Lineage Data Lifecycle Management /li liExperience working with both business and technical stakeholders. /li liStrong analytical and problem-solving skills. /li liExcellent communication and stakeholder management skills. /li liAbility to challenge constructively and influence decision‑making. /li liProfessional proficiency in English. /li /ul h3Technical knowledge /h3 pExperience with several of the following is considered a strong asset: /p ul liSQL and relational databases. /li liData Warehousing concepts. /li liData Lakes and modern cloud‑based data platforms. /li liData Modelling (Conceptual, Logical and Physical). /li liETL / Data Integration processes. /li liData Catalog and Metadata Management solutions such as Collibra or similar. /li liData Quality tooling and monitoring frameworks. /li liAgile delivery methodologies. /li /ul h3Banking knowledge is a plus /h3 pExperience in one or more of the following domains is an advantage: /p ul liFinance /li liRisk /li liRegulatory Reporting /li liCustomer Data /li liPayments /li liLending /li /ul h3What makes you successful /h3 pYou are: /p ul liCurious and continuously looking to learn. /li liComfortable navigating complexity and ambiguity. /li liDriven by outcomes and customer value. /li liAble to build credibility with both business and technology stakeholders. /li liProactive and ownership‑oriented. /li liPassionate about improving data maturity across the organization. /li liA natural collaborator who enjoys working in multidisciplinary and international teams. /li /ul pFor senior candidates, we also expect: /p ul liThe ability to lead complex cross‑domain initiatives. /li liCoaching and mentoring capabilities. /li liStrong influencing skills at management level. /li liThe capacity to shape strategic data management practi