Data Manager

3 weeks ago

Tallahassee, United States TexcelVision Inc. Full time

Job Description

Job Description

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 d ata 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.

#J-18808-Ljbffr

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