Data Management Expert

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.

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.

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

You are:

• Curious and continuously looking to learn.
• Comfortable navigating complexity and ambiguity.
• Driven by outcomes and customer value.
• Able to build credibility with both business and technology stakeholders.
• Proactive and ownership-oriented.
• Passionate about improving data maturity across the organization.
• A natural collaborator who enjoys working in multidisciplinary and international teams.

For senior candidates, we also expect:

• The ability to lead complex cross-domain initiatives.
• Coaching and mentoring capabilities.
• Strong influencing skills at management level.
• The capacity to shape strategic data management practices and frameworks.

At ING, we invest in your growth and give you the opportunity to make a real impact.

You will benefit from:

• Challenging and meaningful work on strategic data initiatives.
• The opportunity to contribute directly to ING's data, analytics and AI ambitions.
• A personal growth path tailored to your ambitions and skills.
• Collaboration with experts from multiple business and technology domains.
• An international and diverse working environment.
• Communities of Practice, Learning Sessions and innovation initiatives.
• The flexibility and empowerment to bring ideas to life and improve how we work.

The Data Management Tribe enables ING's transformation into a truly data-driven organization.

We make data discoverable, trusted, reusable and compliant across the bank. Together with our business and technology partners, we build the foundations that support Finance, Risk, Regulatory Reporting, Analytics, AI and many of ING's most critical business processes.

Our mission is simple: make trusted data available where and when it matters most.

By joining us, you will help shape the future of data at ING.