Data Operations Manager
This role entails overseeing the management and optimization of data processing, storage, and retrieval systems within an organization to ensure data accessibility, accuracy, and security.
Data Operations Manager
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Sample Job Descriptions for Data Operations Manager
Below are the some sample job descriptions for the different experience levels, where you can find the summary of the role, required skills, qualifications, and responsibilities.
Junior (0-2 years of experience)
Summary of the Role
A Junior Data Operations Manager is responsible for overseeing the data management process, including the collection, storage, and retrieval of large datasets. The role involves ensuring data accuracy, implementing data policies, and using data-oriented tools and software to support the organization's objectives.
Required Skills
  • Strong analytical and problem-solving skills.
  • Excellent organizational and leadership abilities.
  • Proficient in SQL and database management systems.
  • Ability to communicate effectively with both technical and non-technical staff.
Qualifications
  • Bachelor's degree in Data Science, Computer Science, Information Technology, or related field.
  • Understanding of database structure and data analysis techniques.
  • Experience with data management software and tools.
  • Knowledge of data protection regulations and compliance requirements.
Responsibilities
  • Manage and oversee the daily operations of the data management team.
  • Ensure the proper functioning of data storage systems and databases.
  • Coordinate with IT staff to implement and improve data strategies.
  • Ensure data integrity and compliance with data protection regulations.
  • Monitor data entry procedures to maintain data quality.
  • Troubleshoot and resolve issues related to data operations.
Intermediate (2-5 years of experience)
Summary of the Role
The Data Operations Manager will oversee the development and use of data systems, ensuring that the right data is collected, stored, and analyzed to support strategic decision-making. This role is pivotal in managing teams responsible for data processing, data quality, and data analytics to meet organization's objectives. The suitable candidate will be a bridge between the technical teams and business units, working to transform data into actionable insights for all stakeholders.
Required Skills
  • Proficiency in SQL and experience with database management systems.
  • Knowledge of data modeling and data governance practices.
  • Experience with BI tools, such as Tableau or Power BI.
  • Strong analytical and problem-solving skills.
  • Ability to translate complex data into easy-to-understand insights and reports.
  • Adaptability to rapidly changing technology environment.
Qualifications
  • Bachelor's degree in Data Management, Computer Science, Information Technology, or related field.
  • 2-5 years of proven work experience in a data management role.
  • Experience leading and managing a team.
  • Strong knowledge of data processing, data analytics, and data quality management.
  • Familiarity with modern data storage, processing, and analytics technologies.
  • Excellent leadership and communication skills.
Responsibilities
  • Develop and implement data management strategies to improve data acquisition and data quality.
  • Manage a team of data professionals, including data analysts, engineers, and scientists.
  • Collaborate with IT team to ensure system stability, data security, and compliance with relevant regulations.
  • Oversee the maintenance and enhancement of data processing tools and platforms.
  • Work with stakeholders to identify and prioritize data and analytics needs.
  • Continually monitor data management processes for efficiency, recommending and implementing improvements.
  • Prepare and manage the annual budget for the data operations department.
Senior (5+ years of experience)
Summary of the Role
We are seeking a seasoned Data Operations Manager to lead and oversee the data operations team. The ideal candidate will possess a strong background in data management, analytics, and infrastructure, and have a proven track record of managing data systems and teams. This role requires strategic planning, team leadership, and deep technical expertise.
Required Skills
  • Expertise in SQL and other database querying languages.
  • Skilled in data modeling and data architecture design.
  • Proficient with data visualization tools and techniques.
  • Strong analytical and problem-solving abilities.
  • Ability to effectively communicate complex data concepts to non-technical stakeholders.
  • Experience with data science and machine learning workflows is a plus.
  • Leadership and team management skills.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Technology or related field; Master's preferred.
  • Minimum of 5 years of experience in a data management or analytics role, with at least 2 years in a leadership position.
  • Strong understanding of database management systems, ETL frameworks, data warehousing, and big data technologies.
  • Experience with cloud data services and infrastructure (AWS, Azure, GCP).
  • Knowledge of data privacy laws and GDPR compliance.
  • Proven capability to lead and inspire a highly-skilled data operations team.
  • Excellent project management and organizational skills.
Responsibilities
  • Develop and implement data management strategies to support company objectives.
  • Manage a team of data professionals including data analysts, data engineers, and database administrators.
  • Ensure the reliability, scalability, and security of all data platforms and pipelines.
  • Oversee the data lifecycle management process including collection, storage, processing, and analysis.
  • Collaborate with IT and business stakeholders to align data operations with organizational goals.
  • Drive continuous improvement in data quality and operational efficiency.
  • Establish and oversee data governance and compliance with relevant data privacy regulations.
  • Serve as an expert resource for data-related technical issues and problem resolution.
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