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:
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Great collaboration and knowledge sharing spirit
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Stable employment in a company with international environment
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Benefit package (private medical health care, multisport card, life insurance, social fund, fruits in the office, integration events, employee pension program)
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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)
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Excellent teamwork culture and friendly atmosphere
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Define, implement, and continuously enhance the enterprise-wide Data Quality (DQ) framework, including standards, definitions, KPIs, and thresholds
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Establish and manage the Data Quality scorecard, ensuring transparency of data quality performance across the organization
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Monitor and analyze data quality metrics across the full data lifecycle and ensure consistent reporting to relevant governance forums
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Identify data quality issues, perform root cause analyses, and define appropriate remediation and prevention measures
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Drive enterprise-wide enforcement of data quality policies, standards, and procedures
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Collaborate with Data Owners, Data Stewards, and Domain Leads to embed data quality practices within business processes
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Provide expertise and advisory support to stakeholders on data quality standards, initiatives, and best practices
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Support transformation programs and initiatives by ensuring data quality requirements are defined, monitored, and enforced
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Promote a culture of data quality awareness and accountability across business and IT functions
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10–15 years of professional experience in data quality management, data governance, or enterprise data management
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Proven experience in designing and implementing enterprise-scale data quality frameworks, including KPIs, scorecards, and monitoring mechanisms
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Strong experience in data quality measurement, reporting, and performance tracking
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Experience working across multiple data domains and business functions, with a solid understanding of end-to-end data flows
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Experience in embedding data quality into large-scale transformation programs (e.g., ERP, data platforms, analytics initiatives)
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Strong understanding of data governance frameworks and how data quality integrates into governance models
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Experience working in federated or matrix organizations, collaborating with distributed teams
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Familiarity with regulatory and compliance requirements impacting data quality (e.g., financial, healthcare, or data protection contexts)
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Exposure to data tooling ecosystems (e.g., data profiling, monitoring, catalog solutions)
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Fluent in English (written and spoken); German is a plus
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Proactive, self-driven, and solution-oriented with a strong sense of ownership
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