Data Management Specialist – Governance & Compliance (m/f)

优缺点分析

角色解读

• Progress to Senior Data Governance Specialist or Data Governance Manager, leading cross-domain initiatives.
• Expand into broader data management roles such as Data Architect or Chief Data Office positions.
• Opportunity to develop expertise in regulatory compliance and become a subject matter expert in data privacy.
• Execute and improve data governance processes including data ownership, quality, metadata, and lifecycle management across business domains.
• Coordinate and streamline regulatory and privacy workflows (e.g., GDPR) to ensure consistent execution and documentation.
• Own and maintain the governance knowledge base, ensuring content is usable and aligned with standards.
• Track governance activities, support reporting with dashboards, and establish KPIs to measure effectiveness.
• Solid understanding of data governance principles (data ownership, quality, metadata, lifecycle).
• Working knowledge of governance tools like DataHub, PowerBI, or similar platforms.
• Familiarity with GDPR, compliance workflows, and structured data validation.
• Strong documentation, communication, and process tracking abilities.

申请策略

• Tailor your cover letter to demonstrate your passion for data governance and your methodical approach.
• Research Henkel's data management culture and mention how you can contribute to their governance maturity.
• Highlight experience in data governance frameworks, data quality projects, and GDPR compliance initiatives.
• Showcase proficiency with governance tools like DataHub, PowerBI, or similar platforms.
• Emphasize documentation skills, process improvement, and ability to track and report metrics.
• Include relevant certifications (e.g., DAMA CDMP, CIPP/E) if applicable.
• If not already familiar, gain hands-on experience with DataHub or other data catalog tools.
• Deepen understanding of GDPR requirements and data protection impact assessments.

面试指南

• Use the STAR method to structure answers: Situation, Task, Action, Result, focusing on measurable outcomes.
• Emphasize collaboration and communication skills, especially when dealing with non-technical stakeholders.
• Show systematic thinking by describing frameworks or checklists you use to ensure completeness.
• How would you ensure data quality across different business domains?
• Describe a time you managed a GDPR compliance workflow. What challenges did you face?
• How do you prioritize governance tasks when multiple domains require attention?
• Can you walk us through how you would set up KPIs for data governance effectiveness?
• How do you handle stakeholder resistance to data governance processes?