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Chief Data Quality Officer
3 weeks ago
We are seeking an expert in data governance to support strategic initiatives across global teams.
This role has a significant impact on enterprise-level data governance and requires collaboration with stakeholders across business lines.
The ideal candidate will be responsible for ensuring appropriate safeguards are in place, creating data requirements, and utilizing standardized approaches to capture metadata.
They will also communicate with stakeholders, develop valuation measures, and manage metadata processes using various tools.
Additionally, this role involves driving continuous improvement efforts, monitoring results, and conducting benchmarking activities.
The successful candidate will have 3-5 years of experience in data management, mastery of relational database theories, and strong communication skills.
They will work as part of a newly formed group focused on centralizing governance activities across structured and unstructured data domains.
Key Responsibilities
- Work as subject matter expert in best practices for data governance and quality.
- Demonstrate active ownership of specific data domains, processes, and procedures.
- Create/edit data requirements, data models, data dictionaries, process maps, and data lineage/mapping.
- Utilize a standardized approach to capture and document metadata across data domains.
- Communicate with stakeholders to gather and address data requirements and feedback.
- Develop valuation and quality measures and share them across business units.
- Manage metadata and data quality processes using tools like Informatica, Collibra, SAP, and Microsoft 365.
- Tag and classify unstructured data (e.g., PII) across platforms such as SharePoint, Teams, and internal ERP systems.
- Support compliance with ISO standards, GDPR, SOX, and internal AI data controls.
- Manage assets within DTUS (Data Technology Unified Services) and support lifecycle governance for SuccessFactors/HXM data.
- Drive continuous improvement efforts, monitor results, and conduct benchmarking activities.
- Ensure adherence to standards, data quality, problem management, and change management.
- Partner with the Project Management Office to integrate governance into project lifecycles, including data migration.
- Lead change management and training related to the rollout and ongoing activities of the Data Governance program.
