Data Quality Expert

• 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 (e.g., ERP, data platforms, analytics initiatives)
• Strong understanding of data governance frameworks and how data quality integrates into governance models
• Experience working in federated or matrix organizations, collaborating with distributed teams
• Familiarity with regulatory and compliance requirements impacting data quality (e.g., financial, healthcare, or data protection contexts)
• Exposure to data tooling ecosystems (e.g., data profiling, monitoring, catalog solutions)
• Fluent in English (written and spoken); German is a plus
• Proactive, self-driven, and solution-oriented with a strong sense of ownership

As Fresenius Digital Technology, we are an integral part of the Fresenius Group, responsible for the IT of the healthcare group and its business segments. We ensure a frictionless interface of IT and business operations so that all employees in production, logistics, and other areas can work efficiently and without interference.

What we offer:

• Great collaboration and knowledge sharing spirit
• Stable employment in a company with international environment
• Benefit package (private medical health care, multisport card, life insurance, social fund, fruits in the office, integration events, employee pension program)
• Work in a modern office located in Wrocław city centre (pl. Nowy Targ) or from your home (we meet at the office once a week / twice a month, depending where you are located)
• Excellent teamwork culture and friendly atmosphere

,[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] Requirements: Data quality, Data governance, Enterprise data management, Data profiling, Data catalog, KPIs, Regulatory compliance, ERP, Reporting Additionally: private medical health care, Multisport card, life insurance, social fund, integration events, employee pension program.