A Data Systems Manager oversees the design, implementation, and maintenance of an organization's data systems, ensuring data integrity, accessibility, and security.
Potential Lateral Jobs
Data Systems Manager
$127,112 / year
The average salary for Data Systems Manager is $127,112 / year according to Glassdoor.com
There are no updated reports for Data Systems Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Data Systems Manager role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As a Data Systems Manager, you will be responsible for overseeing the design, implementation, and maintenance of an organization's data systems and databases. You will need strong technical knowledge of database management systems and data integration technologies, as well as excellent problem-solving and communication skills. Proficiency in database administration tools and data governance practices is also important, as you will be responsible for ensuring data quality, security, and availability.
The following text about the Job role of Data Systems Manager has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
A Data Systems Manager is a professional responsible for the management and maintenance of data systems. They are responsible for the development, implementation, and maintenance of data systems, as well as the security and integrity of the data. They must ensure that the data is accurate, secure, and up-to-date.
The most important skills for a Data Systems Manager include strong technical knowledge, excellent problem-solving skills, and the ability to work with a variety of stakeholders. They must be able to understand the needs of the organization and develop data systems that meet those needs. They must also be able to troubleshoot and resolve any issues that arise.
The primary tasks of a Data Systems Manager include designing, developing, and implementing data systems. They must ensure that the data is accurate, secure, and up-to-date. They must also monitor the performance of the data systems and make any necessary changes or adjustments. They must also ensure that the data is backed up regularly and that the data is secure from unauthorized access.
Data Systems Managers must also be able to work with a variety of stakeholders, including IT staff, business users, and other departments. They must be able to communicate effectively with all stakeholders and ensure that the data systems meet their needs. They must also be able to provide training and support to users of the data systems.
Finally, Data Systems Managers must be able to stay up-to-date on the latest technologies and trends in data systems. They must be able to identify new opportunities for data systems and develop strategies to implement them. They must also be able to identify potential risks and develop strategies to mitigate them.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
Microsoft Certified: Azure Data Scientist Associate
The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.
The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.
Microsoft Certified: Azure Data Engineer Associate
The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.
The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.
The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
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Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
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We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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