Data Operations Manager Salary in United States during 2024

Salary details

The average Data Operations Manager salary lies between USD 110,000 and USD 175,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 3, 2024

Top 20 Job Tags for Data Operations Manager roles

The three most common job tag items assiciated with Data Operations Manager job listings are DataOps, Data management and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

DataOps | 50 jobs Data management | 29 jobs Engineering | 23 jobs Data governance | 21 jobs Data quality | 21 jobs SQL | 19 jobs Research | 16 jobs Excel | 16 jobs Security | 15 jobs Tableau | 13 jobs Data Analytics | 13 jobs Finance | 13 jobs Computer Science | 13 jobs Python | 10 jobs Architecture | 10 jobs Agile | 10 jobs Statistics | 10 jobs Data strategy | 9 jobs Salesforce | 9 jobs Business Intelligence | 8 jobs

Top 20 Job Perks/Benefits for Data Operations Manager roles

The three most common job benefits and perks assiciated with Data Operations Manager job listings are Career development, Team events and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 30 jobs Team events | 16 jobs Flex hours | 15 jobs Health care | 13 jobs Startup environment | 11 jobs Salary bonus | 11 jobs Equity / stock options | 9 jobs Parental leave | 8 jobs Flex vacation | 8 jobs Insurance | 8 jobs Competitive pay | 7 jobs Medical leave | 7 jobs Relocation support | 4 jobs 401(k) matching | 3 jobs Conferences | 2 jobs Pet friendly | 2 jobs Home office stipend | 2 jobs Flexible spending account | 2 jobs Paid sabbatical | 2 jobs Lunch / meals | 1 jobs

Salary Composition for a Data Operations Manager

The salary for a Data Operations Manager in the AI/ML/Data Science field typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5-10%.

Regional differences can influence these figures, with tech hubs like Silicon Valley or New York City offering higher base salaries and bonuses due to the higher cost of living and competitive job market. Industry also plays a role; for instance, tech companies might offer more stock options, while financial firms might provide higher cash bonuses. Company size can affect compensation as well, with larger companies often providing more comprehensive benefits and smaller startups offering equity as a significant part of the package.

Steps to Increase Salary

To increase your salary from the position of a Data Operations Manager, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies, data analytics tools, and management software.
• Leadership Development: Pursue leadership and management training to prepare for higher-level roles such as Director of Data Operations or Chief Data Officer.
• Networking: Engage with industry professionals through conferences, seminars, and online platforms to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance targets and take on challenging projects to demonstrate your value to the organization.
• Negotiation: When discussing salary, be prepared with market research and a clear understanding of your contributions to negotiate effectively.

Educational Requirements

Most Data Operations Manager positions require at least a bachelor's degree in a related field such as Computer Science, Data Science, Information Technology, or Business Administration. However, a master's degree or MBA can be advantageous, especially for roles with a strong focus on strategic management and leadership. Advanced degrees can also provide a competitive edge in the job market and may lead to higher starting salaries.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate expertise in specific areas. Some valuable certifications for a Data Operations Manager include:

• Certified Data Management Professional (CDMP)
• Project Management Professional (PMP)
• Certified Analytics Professional (CAP)
• AWS Certified Big Data – Specialty
• Google Professional Data Engineer

These certifications can validate your skills in data management, project leadership, and cloud-based data solutions, making you a more attractive candidate for higher-paying roles.

Required Experience

Typically, a Data Operations Manager is expected to have 5-10 years of experience in data-related roles. This experience should include hands-on work with data analysis, data management, and familiarity with AI/ML tools and techniques. Experience in leading teams, managing projects, and strategic planning is also crucial. Prior roles might include Data Analyst, Data Scientist, or Data Engineer, with a progression into management positions.

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