What are the responsibilities and job description for the Business Data Management Architect position at Accylerate?
Ideal Candidate Profile: Seeking an experienced Business Data Management Architect who will participate in an enterprise data management program. This role will need to coordinate with business architecture, data architecture, enterprise architecture staff, data stewards, and data custodians. The Business Data Management Architect will be responsible for leveraging expertise in data modeling and extensive data quality management to design and implement effective data management processes. This position requires defining and utilizing taxonomies for enhanced data organization, classification, and retrieval, contributing to improved metadata management. You will need to become familiar with Client Business Capability Model and participate in developing and maturing an enterprise data model, enterprise data flows, and road maps. This position will require familiarity (or the development of familiarity) with the National Information Exchange Model, the Spatial Data Standards for Facilities, Infrastructure, and Environment, and other standards.
Required Skills & Experience
Prior Virginia Department of Transportation (VDOT) experience preferred
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
Required Skills & Experience
Prior Virginia Department of Transportation (VDOT) experience preferred
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