Data Quality Lead
- Sydney, NSW
- Permanent
- Full-time
- Develop, document, and maintain data quality processes and standards aligned to GHD's data management strategy, and drive adoption in line with the Data Management Office vision.
- Build strong relationships with stakeholders to secure buy-in at key points for decision making, rollout, training, and sustainability of data quality processes across business units and data domains.
- 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 business units on data quality standards and best practices.
- Ensure periodic review and upkeep of all data quality management policies, processes, and artefacts.
- Help drive proactive data quality and data observability initiatives across GHD data assets, spanning the Data Lake/Warehouse and other applications.
- Develop and maintain an enterprise data quality rule repository, and mentor technical stewards in creating business-unit-specific data quality controls.
- Partner closely with the Data Management Architect (Reports to) and broader data leadership to ensure alignment with enterprise data goals.
- Outstanding communication capabilities, with a record of effectively engaging and influencing stakeholders.
- A proven ability to drive change across the organisation, ensuring effective stakeholder engagement aligned to data management goals.
- The ability to articulate a clear vision for data quality programs and maintain an agile mindset for timely execution, even amid the ambiguity of greenfield environments.
- Relevant certifications such as DCAM, CDMP, or other recognised credentials from respected data management bodies/councils.
- Tertiary degree in Computing, Information Systems, or a related field.
- 6+ years of data quality experience within a large and/or global professional services organisation.
- Demonstrated experience defining and implementing data quality processes, standards, guidelines, and best practices.
- A track record of 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 such as Informatica (IDMC/IDQ) and Ataccama.
- Solid understanding of adjacent data management disciplines, including metadata management, data lineage, data cataloguing, ownership, and stewardship.
- Experience with Microsoft Azure or other major cloud providers, and exposure to integrating enterprise application suites such as Salesforce, SAP, and Power BI.
- Exposure to data architecture and modelling concepts, with practical experience querying databases/SQL.