Data Manager job description

A Data Manager oversees the collection, storage, and security of an organization's data assets, ensuring data quality and accessibility for informed decision-making. This role is critical for maintaining data integrity, supporting business intelligence, and driving strategic initiatives through reliable data governance.

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What is a Data Manager?

A Data Manager is a professional responsible for overseeing an organization's data infrastructure, ensuring that data is accurate, secure, and accessible. They design and implement data management policies, supervise data storage solutions, and ensure compliance with data protection regulations. Their expertise helps organizations leverage data as a strategic asset, enabling efficient operations and data-driven insights.

What does a Data Manager do?

A Data Manager designs and maintains databases, ensuring data integrity and security. They develop data governance policies, manage data storage systems, and oversee data quality control processes. Additionally, they collaborate with IT teams to implement data solutions, train staff on data handling best practices, and ensure regulatory compliance. Their work supports business intelligence, analytics, and strategic decision-making.

Job Overview

The Data Manager will be responsible for overseeing the organization's data infrastructure, ensuring data integrity, security, and accessibility. This role involves developing and implementing data management policies, coordinating with cross-functional teams, and leveraging data to drive business decisions. The ideal candidate will have strong technical expertise in data systems and a proven track record in data governance.

Data Manager responsibilities include:

1. Develop and enforce data management policies and procedures to ensure data accuracy, consistency, and security. 2. Oversee the design, implementation, and maintenance of databases and data storage solutions. 3. Collaborate with IT, analytics, and business teams to identify data needs and optimize data flow. 4. Ensure compliance with data privacy regulations such as GDPR, CCPA, and other US-specific laws. 5. Monitor data quality, perform regular audits, and implement corrective measures as needed. 6. Manage data integration, ETL processes, and data warehousing solutions. 7. Lead data-related projects, including migrations, system upgrades, and disaster recovery planning. 8. Provide training and support to staff on data management best practices and tools.
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Must-Have Requirements

1. Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. 2. 5+ years of experience in data management, database administration, or a similar role. 3. Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server). 4. Strong knowledge of data governance, data quality, and data security principles. 5. Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS). 6. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and compliance requirements. 7. Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

1. Master's degree in Data Science, Business Analytics, or a related field. 2. Experience with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery, Azure Data Lake). 3. Knowledge of big data technologies (e.g., Hadoop, Spark) and NoSQL databases (e.g., MongoDB, Cassandra). 4. Experience with data visualization tools (e.g., Tableau, Power BI). 5. Previous work in industries with high data compliance demands (e.g., healthcare, finance). 6. Certifications such as Certified Data Management Professional (CDMP) or similar.

Bonus Skills

1. Proficiency in programming languages such as Python or R for data manipulation and analysis. 2. Experience with machine learning frameworks and predictive modeling. 3. Knowledge of DevOps practices for data pipelines (e.g., CI/CD, Docker, Kubernetes). 4. Familiarity with master data management (MDM) tools and practices. 5. Experience in managing data teams or leading data governance committees.

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