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500 Employees or more · IT Services
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Job description

 Job Description:
  1. Develop and lead the implementation of enterprise-level data quality standards, policies, and procedures.
  2. Oversee data quality assessments, audits, and profiling to identify issues, root causes, and improvement opportunities.
  3. Collaborate with data stewards, data architects, and business stakeholders to establish data quality metrics and KPIs.
  4. Design and implement robust data cleansing, enrichment, and validation strategies across diverse data sources and platforms.
  5. Monitor and report on data quality performance, ensuring transparency and accountability throughout the organization.
  6. Evaluate and integrate data quality tools, technologies, and automation solutions to enhance efficiency and accuracy.
  7. Provide expert guidance and training to teams on data quality best practices, methodologies, and regulatory compliance.
  8. Lead cross-functional initiatives to address complex data quality challenges and drive continuous improvement.
  9. Ensure alignment of data quality efforts with overall data governance and business objectives.
  10. Stay current with industry trends, emerging technologies, and evolving regulatory requirements to maintain excellence in data quality practices.
This job post has been translated by AI and may contain minor differences or errors.

Preferred candidate

Degree
Bachelor's degree / higher diploma

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