You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
We are seeking a strategic and results-driven Enterprise Data Governance Consultant to serve as an individual contributor focused on maturing our organization’s data governance initiatives. This role is responsible for contributing to the development and maintenance of a robust data governance framework that ensures data quality, integrity, security, and usability across the enterprise.
Because this role supports a value stream, we are especially interested in candidates who have experience not only in designing and implementing data governance policies or frameworks, but also in applying them in close collaboration with business owners. The ideal candidate will bring expertise in data management and business process improvement, with a strong track record of aligning governance practices to business needs and outcomes.

JOB DESCRIPTION:

Key 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.
• Facilitate data governance meetings and working groups to drive adoption and compliance.
• Monitor and report on data governance metrics, risks, and performance indicators.
• Support change management and training efforts to promote a data-driven culture.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Management, Information Systems, Business Administration, or 5+ years equivalent experience in data governance, data management, or related roles.
• 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.
• Excellent communication and stakeholder engagement skills.
• Familiarity with data governance tools (e.g., Alation, Informatica, Anomalo, etc.) is a plus.

Preferred Qualifications

• Certification in Data Governance (e.g., DCAM, CDMP).
• Experience in enterprise environments with complex data ecosystems.
• Ability to translate technical concepts into business value.

LI-ED1

LI-Hybrid

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit
cnabenefits.com.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact
leaveadministration@cna.com

• 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.
• Facilitate data governance meetings and working groups to drive adoption and compliance.
• Monitor and report on data governance metrics, risks, and performance indicators.
• Support change management and training efforts to promote a data-driven culture