> Markdown version of [/jobs/ext/3830266-datamanagement-specialist](https://www.wearedevelopers.com/jobs/ext/3830266-datamanagement-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # datamanagement specialist - **Company:** AFM - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Governance, Relational Databases, SQL Databases, BIG-IP Advanced Firewall Manager (AFM) - **Published:** October 19, 2026 - **Apply:** https://vacatures.afm.nl/senior-datamanagement-specialist?utm_source=careerguide ## About the Role * Strong experience in data management, data governance, and data quality within complex environments. * Proficiency with metadata management, data cataloging, and data profiling tools. * Solid understanding of relational databases, data modeling concepts, and SQL. * Ability to define KPIs, create clear documentation, and communicate data standards to varied audiences. * Strong stakeholder management, problem-solving, and process improvement capabilities. Success measures * Improved data quality, reduced defects, and faster issue resolution. * Higher adoption of governance standards, clearer data definitions, and increased trust in reporting. ## Description Role purpose: Lead and improve enterprise data management practices to ensure high-quality, well-governed, accessible data that supports analytics, reporting, and business decision-making., * Define, implement, and maintain data management standards, processes, and controls across data lifecycle activities. * Establish and monitor data quality rules, metrics, issue remediation workflows, and continuous improvement plans. * Support data governance initiatives, including data ownership, stewardship, metadata, and policy adherence. * Manage and optimize master data, reference data, and critical data domains to improve consistency and usability. * Partner with business and technical stakeholders to translate requirements into data definitions, models, and documentation. * Ensure data lineage, traceability, and documentation for key datasets and reporting outputs. * Contribute to compliance and risk controls related to privacy, retention, and audit readiness.