
Senior Consultant, Data Governance
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Germany.
• Oversee data governance initiatives from evaluation and the design of the Data Operating Model to organizational execution.
• Unite business functions, IT, and management to facilitate decisions regarding ownership, data quality, and access rights.
• Enforce governance regulations within the catalog, manage access permissions, and oversee the data product lifecycle on the platform.
• Identify individuals responsible for maintaining, reviewing, and approving business context and semantics (Context Layer Governance).
• Develop a new service offering where governance roles are temporarily filled with ongoing support provided by AI.
• Assist in proposals from solution design through to client presentations.
• Offer subject-matter expertise to consultants and disseminate knowledge throughout the team.
• Travel approximately 1–2 times monthly for client meetings and team gatherings.
• Several years of experience (around 5 years or more) in data governance or data management initiatives, either in consulting or within a corporate environment.
• Familiarity with operating models, role concepts, and the data product lifecycle.
• Basic knowledge of at least one data platform, preferably SAP Business Data Cloud (SAP Datasphere) or Dremio.
• Comprehension of how governance is executed on data platforms.
• Confident demeanor when interacting with leaders from business units, IT, and management.
• Interest in regulatory requirements such as the EU AI Act.
• Business-fluent German (C1 level or above).
• Proficient in English.
• Preferred: experience in evaluating and prioritizing data or AI use cases or formulating business cases for them.
• Permanent employment contract.
• Location-independent employment.
• Primarily remote work—from home or from a conveniently located company office.
• Flexible working hours.
• Overtime compensation.
• Up to 40 days of vacation.
• Premium hardware and software equipment.
• Leasing options for company vehicles, IT hardware, and bicycles.
• Designated budget for professional development.
• Opportunities for personal and professional growth.
• Internal training academy.
• Collaboration and knowledge sharing with over 100 Data & Analytics consultants.
• Long-term projects featuring evolving technological challenges.
• Enjoyable team events.
• Fair and respectful workplace culture.
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