As a data management specialist, you contribute to the ambition of bringing data within a financial supervisory authority to a level where risks are managed and data can be optimally used for supervision. You help make data reliable, findable, and usable, thereby supporting the organization's development as a Smart Supervisor. Together with colleagues, you work on professionalizing data management.
What you will do.
- Systematically improve master data, such as licenses and enterprises.
- Set up and improve metadata and data quality.
- Initiate and further develop data management frameworks: policies, processes, and standards that contribute to data-driven work.
- Develop and implement a Data Governance structure, including roles, responsibilities, ownership, and decision-making processes around data.
- Advise development teams from an expert perspective on complex issues concerning, for example, data modeling, data architecture, and authorization management.
- Lead organization-wide improvement initiatives and create support for data-driven work.
- Coach and guide (junior and medior) data management specialists and act as a subject matter expert within the organization.
Profile
You will work within the Data, Technology, and Innovation department in the Data Management team. This team supports supervisory departments and support departments with specialized knowledge in areas such as data governance, data modeling, master data management, data quality, and metadata management.
Practical example. You will work from a data management perspective on the development of a new central capability: a self-service analysis environment. This environment should enable supervisors to perform independent analyses on available data. You will collaborate with Data Analysts to set up this capability. From a data management perspective, you are responsible for defining the preconditions within which data can be used safely, responsibly, and effectively. You will focus on three important components:
- Data access: together, you will determine which datasets will be made available to supervisory teams and how they will be made accessible.
- Governance and compliance: you ensure that data usage complies with laws and regulations, clearly defining the origin, ownership, access rights, and purpose limitation of data.
- Standardization: together, you will develop a central and uniform working method so that users can consult and analyze data consistently.
Ultimately, you will deliver a safe and standardized self-service analysis environment. This will enable supervisors to gain independent insights from data, while ensuring the quality, security, and governance of the data. In this way, the capability contributes to a more data-savvy organization.
What they ask
- Completed HBO or university education with a data interface, such as Business IT & Management, Information Management, Information Studies, or similar.
- Minimum of 7 years of relevant work experience with data management in a complex organization where data processing is central.
- Experience in leading and working in organization-wide data improvement projects.
- Experience with coaching and knowledge transfer to colleagues.
- In-depth knowledge and experience with multiple DAMA DMBOK domains such as data governance, data modeling, master data management, data quality, or metadata management, and the ability to translate this into policies, guidelines, and standards.
- You can involve stakeholders at strategic, tactical, and operational levels in changes and stimulate collaboration.
- Fluency in Dutch, including speaking, reading, and writing, is a mandatory requirement for this role.
How to apply
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