Data Operations Director

A Data Operations Director oversees the management and optimization of data operations, ensuring data accuracy, availability, and security, and driving continuous improvement to support business objectives.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Data Operations Director

Glassdoor
Market
National (USA)
Base Salary
$136,734 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Data Operations Director is $136,734 / year according to Glassdoor.com

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

Data Operations Director 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 Director, you will be responsible for overseeing the data operations and management processes of organizations. 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, availability, and security.

The average salary for Data Operations Director is $136,734 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Data Operations Director 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.

The Data Operations Director is a senior-level role responsible for the overall operations and management of an organization's data systems. This includes the development and implementation of data policies, procedures, and standards, as well as the monitoring and evaluation of data systems performance.

The Data Operations Director is responsible for ensuring that data systems are well-maintained and secure, and that data is accurate, up-to-date, and accessible to authorized users. This includes the development and implementation of data backup and recovery plans, as well as the monitoring and evaluation of data systems performance to identify and address any issues or problems.

The Data Operations Director is also responsible for working with other departments and teams to ensure that data systems meet their needs and requirements. This includes the development and implementation of data integration and data sharing initiatives, as well as the monitoring and evaluation of data systems performance to ensure that they are meeting the needs of users.

In addition to these technical responsibilities, the Data Operations Director is also responsible for managing the data operations team, including hiring, training, and managing the performance of team members. This includes ensuring that team members have the necessary skills and knowledge to perform their duties, as well as providing ongoing support and development to team members to help them grow and develop in their roles.

Overall, the Data Operations Director is a critical role in the overall management and operations of an organization's data systems. This role requires a strong understanding of data systems and data management practices, as well as the ability to work effectively with others to ensure that data systems meet the needs of the organization.

Skills

  • Strong understanding of data systems and data management practices
  • Ability to work effectively with others, including team members, stakeholders, and partners
  • Excellent communication and interpersonal skills
  • Ability to manage and lead a team
  • Ability to develop and implement data policies, procedures, and standards
  • Ability to monitor and evaluate data systems performance
  • Ability to develop and implement data backup and recovery plans
  • Ability to develop and implement data integration and data sharing initiatives
  • Ability to work with other departments and teams to ensure that data systems meet their needs and requirements

Tasks

  • Develop and implement data policies, procedures, and standards
  • Monitor and evaluate data systems performance
  • Develop and implement data backup and recovery plans
  • Develop and implement data integration and data sharing initiatives
  • Work with other departments and teams to ensure that data systems meet their needs and requirements
  • Manage the data operations team, including hiring, training, and managing the performance of team members
  • Provide ongoing support and development to team members
  • Conduct regular team meetings to discuss data systems performance and any issues or problems that have arisen
  • Ensure that team members have the necessary skills and knowledge to perform their duties
  • Provide training and development opportunities to team members
  • Conduct performance reviews of team members
  • Manage the budget for data operations and ensure that expenses are within budget limits
  • Work with other departments to ensure that data systems meet their needs and requirements

Other Information

  • The Data Operations Director is a senior-level role and may report to the Chief Technology Officer or Chief Information Officer
  • This role is typically found in larger organizations or organizations that have a significant amount of data to manage
  • The Data Operations Director may also be responsible for managing the organization's data governance program
  • The Data Operations Director may work with a team of data engineers, data scientists, and other data professionals to ensure that data systems are well-maintained and secure
  • The Data Operations Director may also work with the organization's legal team to ensure that data systems are compliant with applicable data privacy laws and regulations
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.

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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.

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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.

Data Science for Business Leaders

Executive Program

Become a Data Product Manager

Nanodegree

AI for Business Leaders

Executive Program

Data: Law, Policy and Regulation

Executive Program

The Data Science Method

Course

Data Science with Databricks for Data Analysts Specialization

Specialization

Data Science: Statistics and Machine Learning Specialization

Specialization

This comprehensive course equips you with essential Statistical and Machine Learning skills for Data Science, including R Programming, Regression Analysis, Data Visualization, and Random Forest.

Intermediate
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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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