# Data Management Expert at ING

ING is hiring a Data Management Expert. Level rates it Little AI ●○○○; you can [apply on ING](https://jobsbylevel.com/go/ba44ecbd-a57f-46b0-a6e0-5070d93cab82?utm_medium=ai-agent).

AI Level 1, AI centrality 31 out of 100. Bruxelles Avenue Marnix (ING).

## Details

- Company: [ING](https://jobsbylevel.com/companies/ing)
- AI level: AI Level 1 (score 31 out of 100)
- Location: Bruxelles Avenue Marnix (ING)
- Posted: October 20, 2026
- Apply: https://jobsbylevel.com/go/ba44ecbd-a57f-46b0-a6e0-5070d93cab82?utm_medium=ai-agent

## Description

Data Management Expert (Medior / Senior) Shape the future of Data, Analytics & AI at ING Data 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. As 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. You 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. Your role As a Data Management Expert, you are the trusted partner for all data-related topics within your domain. You help business teams understand, govern and leverage their data while ensuring that it is properly integrated into ING's data ecosystem. You will Drive data onboarding and governance Analyze business processes, source systems and data assets. Define how data should be sourced, modeled, governed and consumed. Ensure data is compliant with governance, privacy, security and regulatory requirements. Manage and maintain business metadata, data definitions and ownership responsibilities. Support the implementation of Data-as-a-Product principles across your domain. Bridge business and technology Translate business objectives into clear and actionable data requirements. Create functional specifications for Data Engineers and DevOps teams. Collaborate closely with architects and engineering teams to design sustainable solutions. Validate delivered data products and ensure they meet business expectations. Support adoption by promoting a clear understanding of available data assets. Improve data quality and trust Define and monitor data quality requirements. Identify root causes of data issues and coordinate remediation activities. Increase transparency through data lineage and metadata management. Promote a culture of accountability and ownership around data. Enable analytics, AI and innovation Help make trusted and high-quality data available for reporting, analytics and AI use cases. Identify opportunities for automation and simplification. Challenge existing processes and actively contribute to improving the organization's data maturity. Bring innovative ideas to improve the efficiency and effectiveness of data management activities. What you bring We're looking for professionals who combine business understanding, analytical thinking and a passion for data. Must-have experience 3+ years (Medior) or 5+ years (Senior) of experience in Data Management, Data Governance, Business Analysis, Data Warehousing or related domains. Strong understanding of: Data Governance Data Quality Metadata Management Data Lineage Data Lifecycle Management Experience working with both business and technical stakeholders. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Ability to challenge constructively and influence decision-making. Professional proficiency in English. Technical knowledge Experience with several of the following is considered a strong asset: SQL and relational databases. Data Warehousing concepts. Data Lakes and modern cloud-based data platforms. Data Modelling (Conceptual, Logical and Physical). ETL / Data Integration processes. Data Catalog and Metadata Management solutions such as Collibra or similar. Data Quality tooling and monitoring frameworks. Agile delivery methodologies. Banking knowledge is a plus Experience in one or more of the following domains is an advantage: Finance Risk Regulatory Reporting Customer Data Payments Lending What makes you successful You are: Curious and continuously looking to learn. Comfortable navigating complexity and ambiguity. Driven by

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Source: https://jobsbylevel.com/jobs/data-management-expert-at-ing-815ed9

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