Data Quality Expert

5 days ago

Melbourne, Victoria, Australia beBeeDataQuality Full time $120,000 - $180,000

Establish a data quality foundation to drive business growth and success.

Data Quality Lead

This role focuses on developing and implementing data quality processes, standards, and guidelines. You will work closely with stakeholders to ensure that data is accurate, complete, and reliable. Your expertise will be instrumental in establishing a culture of data quality within the organization.

Key Responsibilities:
  • Develop and maintain data quality policies, procedures, and standards aligned to the organization's data management strategy.
  • Build relationships with stakeholders to secure buy-in for data quality initiatives and drive adoption across the organization.
  • Contribute to the establishment and management of data issue management frameworks to address and resolve data quality issues.
  • Develop training guides and documentation for data quality processes and tools; provide training to stakeholders on data quality standards and best practices.
  • Ensure periodic review and upkeep of all data quality management policies, processes, and artefacts.
  • Advance proactive data quality and data observability initiatives across organizational data assets.
What You Will Bring:
  • Outstanding communication skills with a track record of effectively engaging and influencing stakeholders.
  • Proven ability to drive change across the organization with effective stakeholder engagement aligned to data management goals.
  • Ability to articulate a clear vision for data quality programs and maintain an agile mindset for timely execution.
Qualifications:
  • Tertiary degree in Computing, Information Systems, or a related field.
  • 6+ years of data quality experience within a large and/or global professional services organization.
  • Experience defining and implementing data quality processes, standards, guidelines, and best practices.
  • Track record translating business problems into actionable data quality initiatives.
  • Hands-on experience designing, deploying, and managing data quality procedures and outputs using industry-standard SaaS platforms.
  • Solid understanding of adjacent data management disciplines, including metadata management, data lineage, data cataloguing, ownership, and stewardship.

We are an equal opportunity employer. We value a diverse workforce and an inclusive culture and encourage applications from people of all identities.

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