Enterprise Data Architect – NIEM & Data Governance

Cynet systems Inc; Richmond; On-site; GBP 60,000 - 80,000; Full time

Job summary

A prominent technology firm in the United Kingdom is seeking a data management professional with extensive experience in data quality management and data modeling. The ideal candidate should have prior Department of Transportation experience and be proficient in metadata management and data governance principles. Strong written and verbal communication skills are essential. This role involves overseeing the complete data lifecycle within a complex organizational structure, ensuring continuous improvement in data quality.

Qualifications

• Minimum requirement: Prior Department of Transportation (VDOT) experience directly related to this role.
• Extensive experience in data quality management, including establishing standards, monitoring, and continuous improvement.
• Demonstrated experience with enterprise data programs at a similarly sized organization (private or public).
• Proven experience in data modeling.
• Demonstrated ability to bridge the gap between business architecture and National Information Exchange Model (NIEM) standards.
• Strong understanding of data governance principles and best practices.
• Proficiency in metadata management, including taxonomies, and enhancing data quality.
• Experience in overseeing the complete data lifecycle within a complex organizational structure.
• Strong written and verbal communication skills.

Skills

Data quality management

Data modeling

Data governance principles

Communication skills

Job description

A prominent technology firm in the United Kingdom is seeking a data management professional with extensive experience in data quality management and data modeling. The ideal candidate should have prior Department of Transportation experience and be proficient in metadata management and data governance principles. Strong written and verbal communication skills are essential. This role involves overseeing the complete data lifecycle within a complex organizational structure, ensuring continuous improvement in data quality.