Job Description: Library and Information Science - Data Manager
Position Summary:
The Data Manager plays a crucial role in managing and organizing data within the library and information science field. The incumbent will be responsible for overseeing the collection, storage, and retrieval of data, ensuring its accuracy, security, and accessibility. The Data Manager will collaborate with various stakeholders to develop and implement efficient data management strategies, ensuring compliance with relevant policies and regulations.
Key Responsibilities:
1. Develop and maintain data management systems, including databases, data dictionaries, and metadata repositories.
2. Design and implement data collection methodologies, ensuring data quality and integrity throughout the process.
3. Analyze data requirements, identify gaps, and propose data management solutions to enhance efficiency and effectiveness.
4. Collaborate with cross-functional teams to establish data standards, guidelines, and best practices.
5. Develop and implement data governance frameworks, including data privacy, data security, and data retention policies.
6. Monitor data usage patterns, identify trends, and provide recommendations for data-driven decision making.
7. Conduct regular audits and quality checks to verify data accuracy, consistency, and compliance.
8. Provide technical expertise and support to library staff and users regarding data management tools, systems, and procedures.
9. Stay up-to-date with emerging technologies, industry trends, and advancements in data management practices.
10. Collaborate with external vendors and partners to integrate and manage third-party data sources effectively.
Required Skills and Qualifications:
1. Bachelor's degree in Library and Information Science, Computer Science, or a related field.
2. Proven experience in data management, preferably in a library or information science setting.
3. Strong knowledge of data management principles, tools, and methodologies.
4. Proficient in database management systems (e.g., SQL, Oracle, MySQL) and data visualization tools (e.g., Tableau, Power BI).
5. Familiarity with data modeling, data governance, and data lifecycle management concepts.
6. Excellent analytical and problem-solving skills, with the ability to work with large datasets and complex information systems.
7. Strong attention to detail and accuracy, with the ability to manage multiple projects and priorities simultaneously.
8. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
9. Proactive and self-motivated, with the ability to work independently and in a team-oriented environment.
10. Knowledge of relevant data protection laws, regulations, and best practices (e.g., GDPR, HIPAA) is a plus.
Note: This job description outlines the general nature and level of work performed by individuals assigned to this position. It is not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required.