CNA is seeking to mature its organization's data governance initiatives by developing and maintaining a robust data governance framework that ensures data quality, integrity, security, and usability across the enterprise.
Requirements
- Strong understanding of SQL, data architecture, data lifecycle, data classification and data privacy regulations (e.g., GDPR, CCPA).
- Proven experience in business process analysis and optimization.
- Experience with agile and project management including JIRA, Confluence, etc.
- Experience with cloud based tools like, AWS, Azure, GCP, etc.
- Familiarity with data governance tools (e.g., Alation, Informatica, Anomalo, etc.) is a plus.
- Certification in Data Governance (e.g., DCAM, CDMP).
- Experience in enterprise environments with complex data ecosystems.
Responsibilities
- Develop and implement enterprise-wide data governance policies, standards, and procedures.
- Collaborate with business and IT stakeholders to define data ownership, stewardship, and accountability.
- Lead initiatives to improve data quality, metadata management, and master data management.
- Integrate AI and machine learning tools to automate data classification, anomaly detection, and predictive analytics.
- Align data governance strategies with business objectives and regulatory requirements.
- Monitor and report on data governance metrics, risks, and performance indicators.
- Support change management and training efforts to promote a data-driven culture.
Other
- Serve as an individual contributor focused on maturing our organization's data governance initiatives.
- Applying them in close collaboration with business owners.
- Bring expertise in data management and business process improvement, with a strong track record of aligning governance practices to business needs and outcomes.
- Facilitate data governance meetings and working groups to drive adoption and compliance.
- Excellent communication and stakeholder engagement skills.
