Data Operations Manager

A Data Operations Manager oversees the collection, processing, storage, and analysis of large datasets. They are responsible for implementing efficient data systems, ensuring data quality and integrity, and guiding data-related decisions to improve business performance.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Data Operations Manager

Glassdoor
Market
National (USA)
Base Salary
$105,142 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Master's Degree

The average salary for Data Operations Manager is $105,142 / year according to Glassdoor.com

There are no updated reports for Data Operations Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Data Operations Manager role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Data Operations Manager, you will be responsible for overseeing the collection, storage, and analysis of data within an organization. You will need a strong understanding of data management principles and technologies, as well as experience with data governance and compliance. Strong problem-solving and communication skills are essential, as you will be responsible for ensuring data accuracy and availability.

The average salary for Data Operations Manager is $105,142 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Data Operations Manager has been generated by an AI model developed by Cohere. 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.

Data Operations Manager is a crucial role in any organization that deals with large amounts of data. This role is responsible for the smooth and efficient operation of data systems and databases. The Data Operations Manager is responsible for ensuring that data is accurate, up-to-date, and easily accessible to those who need it.

The most important skills for a Data Operations Manager include:

  • Strong understanding of data systems and databases
  • Ability to manage and maintain data systems
  • Experience with data analysis and reporting
  • Strong problem-solving and decision-making skills
  • Ability to work effectively with others

The Data Operations Manager is responsible for a wide range of tasks, including:

  • Designing and implementing data systems and databases
  • Maintaining and updating data systems and databases
  • Conducting data analysis and reporting
  • Providing data-driven insights to support business decisions
  • Collaborating with cross-functional teams to ensure data accuracy and consistency
  • Leading and managing a team of data professionals

The Data Operations Manager is a critical role in any organization that deals with large amounts of data. This role is responsible for ensuring that data is accurate, up-to-date, and easily accessible to those who need it. The Data Operations Manager must have strong technical skills and be able to work effectively with others to ensure the smooth and efficient operation of data systems and databases.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

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.
Certification Programs
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

DP-100

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.

Intermediate
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Databricks Certified Data Engineer Associate

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.

Intermediate
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Microsoft Certified: Azure Data Engineer Associate

DP-203

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.

Intermediate
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Google Certified Professional Data Engineer

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.

Advanced
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AWS Certified Data Analytics — Specialty

DAS-C01

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.

Advanced
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Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Intermediate
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AWS Certified Machine Learning — Specialty Certification

MLS-C01

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. 

Advanced
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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

Advanced
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Specialty Courses improving
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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This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.

Data Scientist with Python

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This program is exhaustive, allowing you to gain scientific skills in Excel, SQL, and SAS for data analysis, as well as creating data visualization to communicate results using statistical calculations.

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
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.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
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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