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Project Leader

3 months ago


Quincy, United States NavitsPartners Full time
Job DescriptionJob Description

Title: Project Leader
Duration: 12 months
Location: Tallahassee, FL (Onsite)

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.
  • Capture key attributes such as data source, format, structure, quality, and usage restrictions.

Taxonomy Development:

  • Define and implement data classification schemas, taxonomies, and ontologies.
  • 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.
  • Evaluate the completeness, accuracy, and consistency of data assets.
  • Identify data gaps, anomalies, and errors, working with 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.
  • Promote consistency, reliability, and compliance with regulatory requirements.

Stakeholder Engagement:

  • Work closely with data owners, stewards, consumers, and stakeholders across the department.
  • Understand their data needs, requirements, and priorities.
  • 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.
  • Enable them to effectively manage, access, and utilize all data resources.

Leadership and Mentorship:

  • Provide leadership, guidance, and mentorship to junior staff members and colleagues.
  • Foster a culture of continuous learning, innovation, and excellence in D&A practices.

Data Governance Implementation:

  • Implement and monitor data governance processes, including data access controls, data retention policies, and data life cycle management.

Coordination:

  • Coordinate with team members, data governance members, and client staff.
  • Work to improve the quality, integrity, and governance of data assets within the client organization.
Required Knowledge, Skills & Abilities (KSAs):

Experience:

  • 3-5 years' experience in data management, metadata management, data governance, or information management.

Technical Proficiency:

  • 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)

Organizational Skills:

  • Strong organizational skills and attention to detail. (Proficiency level – 4)
  • Ability to accurately catalog and document complex data assets.

Metadata Standards:

  • Knowledge of metadata standards and frameworks, such as Dublin Core, ISO 19115, and FGDCCSDGM. (Proficiency level – 3)

Interpersonal Skills:

  • Ability to establish and maintain effective working relationships with others. (Proficiency level – 3)
  • Ability to work independently and determine work priorities. (Proficiency level – 3)
  • Ability to effectively communicate technical standards, practices, and initiatives. (Proficiency level – 3)
Preferred Knowledge, Skills & Abilities (KSAs):

Domain-Specific Knowledge:

  • 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.

Technical Skills:

  • Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software.
  • 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.

Analytical Skills:

  • Excellent analytical and problem-solving skills to identify and resolve data quality issues.