Location: Tallahassee, FL 32301

Work Mode: onsite

RTR

I, candidate name authorize TexcelVision to submit me for below mentioned position

BG Check

Any issues with criminal background? misdemeanors if any, we need details (type/month/year)

Documents required: Form F-Acknowledgment form and Form D-Candidate References form

Job Description

Job Title: Project Leader

Job #: 8230

Scope Variant: B. Intermediate or C. Advanced

Primary Work: Serve as Information Manager for the Department's Data & Analytics (D&A) Office. Term / Hours: Estimated 1880 hours per year

Education: Bachelor's degree in Data Science, Environmental Science, Information Science, or related studies, or equivalent work experience.

Required Tasks to be performed:

• 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.

Required Knowledge, Skills & Abilities (KSAs):

• 3-5 years' experience in data management, metadata management, data governance, or information management.
• Familiarity with data dictionaries and data cataloging tools and platforms, such as Informatica. (Proficiency level 4)
• Understanding of data governance principles, data quality, data stewardship practices, and regulatory compliance requirements. (Proficiency level 4)
• Strong organizational skills and attention to detail, with the ability to accurately catalog and document complex data assets. (Proficiency level 4)
• Knowledge of metadata standards and frameworks, such as Dublin Core, ISO 19115, and FGDC- CSDGM. (Proficiency level 3)
• Ability to establish and maintain effective working relationships with others. (Proficiency level 3)
• Ability to work independently. (Proficiency level 3)
• Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level 3)
• Ability to effectively communicate technical standards, practices, and initiatives. (Proficiency level 3)

Preferred Knowledge, Skills & Abilities (KSAs):

• Familiarity with environmental science, water quality, or related fields.
• Experience in data management, metadata management, data governance, or information management in a scientific or environmental context.
• Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software.
• Excellent analytical and problem-solving skills to identify and resolve data quality issues.
• Basic understanding of data-related technologies and tools such as ETL, data warehouses, and data lakes.
• Basic understanding of data visualization and reporting tools such as Qlik Sense.