Location : ,

Job Description

Project Manager

Tallahassee, FL



  • Data Discovery and Inventory: Identify, catalog, and classify data assets, including datasets, databases, and metadata. 
  • Catalog Metadata Management: Work with data stewards to develop and maintain standardized metadata descriptions for data assets, capturing key attributes such as data source, format, structure, quality, and usage restrictions. 
  • Taxonomy Development: Define and implement data classification schemas, taxonomies, and ontologies to organize and categorize data assets according to IT standards, domain-specific topics, themes, and attributes. 
  • Data Profiling and Quality Assessment: Conduct data profiling and quality assessment activities to evaluate the completeness, accuracy, and consistency of data assets, identifying data gaps, anomalies, and errors, together with the data stewards and data-source Subject Matter Experts (SMEs). 
  • Data Governance Support: Collaborate with data governance members to establish and enforce data cataloging policies, standards, and procedures that promote consistency, reliability, and compliance with regulatory requirements. 
  • Stakeholder Engagement: Work closely with data owners, stewards, consumers, and stakeholders across the department to understand their data needs, requirements, and priorities, and ensure that cataloged data assets meet their expectations. 
  • Training and Documentation: Provide training and documentation support to data stewards on data cataloging best practices, tools, and processes, enabling them to effectively discover, access, and utilize all data resources. 
  • Leadership and Mentorship: Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices. 
  • Implement and monitor data governance processes, including data access controls, data retention policies, and data life cycle management. 
  • Coordinate with D&A team, data governance members, and department staff working with D&A to improve the quality, integrity, and governance of data assets within the department.