Job Description
General Description GENERAL DESCRIPTION: Performs highly complex (senior level) data architecture work and data analysis. Work involves data modeling; implementing and managing database systems, data warehouses, and data analytics; and designing strategies and setting standards for operations, programming, and security. May supervise the work of others. Works under limited supervision, with moderate latitude for the use of initiative and independent judgment. Essential Job Functions % of Time ESSENTIAL JOB FUNCTIONS (EJFs) 45% Requirements Determines and maintains the agency’s overall medallion infrastructure, modular infrastructure and overall data architecture and specific data model requirements for all future solutions including: the development and implementation of data models for new projects, data structures for data warehouses and data mart projects, the use of and changes to technical and business metadata and their impact to the agency’s business and enterprise applications, data analytics and business intelligence systems, security or protection against unauthorized access or modification. 25% Support The Agency’s Data Governance Efforts Through Driving data governance initiatives, including policy development, data stewardship, and end-user training programs on data governance policies and tools. Maintaining documentation of data governance policies, processes, standards, and data definitions. Assisting in the implementation and adoption of data governance tools and platforms. Supporting audits and regulatory reporting by ensuring proper data documentation and controls are in place. Monitoring data maturity progress and support continuous improvement of governance practices. 10% Establishes measures to chart progress related to the accuracy of data quality (including metadata) for enterprise information; to support reduction of data redundancy, fragmentation, the elimination of unnecessary movement of data, and to improve the overall agency data quality 10% Assists Or Provides Direction To Team Members Associated With identification of appropriate data sources (including the systems of record) for extraction processes and data use in the agency’s business applications. identification of root causes related to non-conformance of data to published data standards using available tools and analyses, including metadata or other data quality related information. selection and usage of data management tools to support the development of data standards, data usage guidelines and procedures. the creation of data models and required data standards for ensuring data quality, data security and data applicability to the agency’s business requirements. 10% Performs related work as assigned and may supervise the work of others. MQs, KSA, License/Certifications Minimum Qualifications Education : Graduation from an accredited four-year college or university with major coursework in computer science, information technology, computer information systems, data management systems, data security or a related data management discipline. AND Experience : Two (2) years full-time work experience in information technology security, computer information systems, management information systems, or a related data management field. Applicable Substitutions : Experience and education may be substituted for one another. OR Graduation from a standard senior high school or equivalent; and Six years full-time work experience in information technology security, computer information systems, management information systems, or a related data management field. Knowledge, Skills, And Abilities Knowledge Knowledge of master data, metadata, reference data, data warehousing, and business intelligence principles and processes, including technical architecture; of enterprise information management processes and methodologies, relational database management systems, metadata management, and business intelligence and business analytics tools; of local, state, and federal laws and regulations relevant to data management and data governance, such as the Open & Closed Data Portal; knowledge of the limitations and capabilities of computer systems; of technology across all network layers and computer platforms; and of operational s