Data Quality Expert

Fresenius Digital Technology is part of the Fresenius Group, responsible for the IT of the healthcare group and its business segments, ensuring efficient IT and business operations support across production, logistics, and other areas.

• 10–15 years of professional experience in data quality management, data governance, or enterprise data management
• Proven experience in designing and implementing enterprise-scale data quality frameworks, including KPIs, scorecards, and monitoring mechanisms
• Strong experience in data quality measurement, reporting, and performance tracking
• Experience working across multiple data domains and business functions, with a solid understanding of end-to-end data flows
• Experience in embedding data quality into large-scale transformation programs such as ERP, data platforms, and analytics initiatives
• Strong understanding of data governance frameworks and integration of data quality into governance models
• Experience working in federated or matrix organizations and collaborating with distributed teams
• Familiarity with regulatory and compliance requirements impacting data quality, including financial, healthcare, or data protection contexts
• Exposure to data tooling ecosystems such as data profiling, monitoring, and catalog solutions
• Fluent English (written and spoken); German is a plus
• Proactive, self-driven, and solution-oriented with a strong sense of ownership

• Define, implement, and continuously enhance the enterprise-wide Data Quality (DQ) framework, including standards, definitions, KPIs, and thresholds
• Establish and manage the Data Quality scorecard, ensuring transparency of data quality performance across the organization
• Monitor and analyze data quality metrics across the full data lifecycle and ensure consistent reporting to relevant governance forums
• Identify data quality issues, perform root cause analyses, and define appropriate remediation and prevention measures
• Drive enterprise-wide enforcement of data quality policies, standards, and procedures
• Collaborate with Data Owners, Data Stewards, and Domain Leads to embed data quality practices within business processes
• Provide expertise and advisory support to stakeholders on data quality standards, initiatives, and best practices
• Support transformation programs and initiatives by ensuring data quality requirements are defined, monitored, and enforced
• Promote a culture of data quality awareness and accountability across business and IT functions