Senior Global Data Quality Lead (Hybrid)

Still Sverige Ab; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

LuxMed private medical care

MyBenefit platform (Multisport card)

Group Life Insurance

Employee referrals

Training opportunities

Language courses support

Health days (Dzień na U)

Job summary

KION Business Services Polska is seeking a Data Quality Senior Specialist to help establish and steer data quality management at a global level. You will work with data owners, stewards, IT and business stakeholders to implement data quality rules, monitor compliance and drive data-driven decisions.

The role involves defining data quality rules, KPIs, and remediation strategies, supporting DQM processes, and ensuring alignment with overall data strategy.

Qualifications

• Bachelor's degree in information systems, data science, CS or related field.
• 5+ years in data quality, data governance or data management roles.
• Experience leading data quality improvement initiatives in mid to large organizations.
• Fluent in English (written and spoken); other languages welcomed.

Responsibilities

• Support DQM processes, define analytics framework, reporting cadence and recipients.
• Help establish KPIs, rules and target values for data quality.
• Measure, analyze, report and correct data quality issues.
• Oversee root cause analysis and corrective actions for quality issues.
• Document DQM guidelines, deliverables, standards and data migration rules.
• Support tactical execution of data strategy and change management.

Skills

Data quality

Data governance

Root cause analysis

Data modeling

SQL / databases

English fluency

Education

Bachelor's degree in Information Systems

Master's degree or MBA preferred

Tools

DQM tools

Job description

KION Business Services Polska is seeking a Data Quality Senior Specialist to help establish and steer data quality management at a global level. You will work with data owners, stewards, IT and business stakeholders to implement data quality rules, monitor compliance and drive data-driven decisions.

The role involves defining data quality rules, KPIs, and remediation strategies, supporting DQM processes, and ensuring alignment with overall data strategy.