Salary for Mid-level / Intermediate Data Operations Manager during 2024
💰 The median Salary for Mid-level / Intermediate Data Operations Manager during 2024 is USD 125,000
✏️ This salary info is based on 14 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Data Operations Manager salary lies between USD 105,000 and USD 150,000 globally. 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.
- Job title
- Data Operations Manager
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 14
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Mid-level / Intermediate Data Operations Manager roles
The three most common job tag items assiciated with mid-level / intermediate 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 | 42 jobs Data management | 26 jobs Engineering | 21 jobs Data governance | 19 jobs Data quality | 18 jobs SQL | 17 jobs Research | 13 jobs Security | 13 jobs Excel | 13 jobs Tableau | 12 jobs Data Analytics | 11 jobs Finance | 10 jobs Statistics | 10 jobs Computer Science | 10 jobs Architecture | 9 jobs Business Intelligence | 8 jobs Data strategy | 8 jobs Agile | 8 jobs Python | 7 jobs Power BI | 7 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate Data Operations Manager roles
The three most common job benefits and perks assiciated with mid-level / intermediate Data Operations Manager job listings are Career development, Flex hours and Team events. 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 | 24 jobs Flex hours | 12 jobs Team events | 12 jobs Health care | 8 jobs Equity / stock options | 6 jobs Startup environment | 6 jobs Competitive pay | 6 jobs Insurance | 6 jobs Salary bonus | 6 jobs Parental leave | 5 jobs Flex vacation | 5 jobs Medical leave | 5 jobs Relocation support | 4 jobs 401(k) matching | 2 jobs Conferences | 2 jobs Lunch / meals | 1 jobs Snacks / Drinks | 1 jobs Home office stipend | 1 jobs Flexible spending account | 1 jobs Unlimited paid time off | 1 jobsSalary Composition for a Mid-level Data Operations Manager
The salary for a Mid-level Data Operations Manager typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size:
- Region: In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with other benefits.
- Industry: Industries such as finance and technology often offer higher bonuses and stock options compared to sectors like education or non-profits.
- Company Size: Larger companies may provide more comprehensive benefits packages, including health insurance, retirement plans, and stock options, while smaller companies might offer higher base salaries to attract talent.
Steps to Increase Salary from This Position
To increase your salary from a Mid-level Data Operations Manager position, consider the following strategies:
- Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
- Leadership Roles: Seek opportunities to lead projects or teams, demonstrating your capability to handle more responsibility.
- Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
- Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
- Performance Excellence: Consistently exceed performance targets to justify salary negotiations or promotions.
Educational Requirements
Most Mid-level Data Operations Manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. A master's degree in data science or business administration can be advantageous and may be preferred by some employers.
Helpful Certifications
Certifications can bolster your credentials and demonstrate expertise. Some valuable certifications include:
- Certified Analytics Professional (CAP)
- Google Professional Data Engineer
- AWS Certified Data Analytics – Specialty
- Microsoft Certified: Azure Data Scientist Associate
- SAS Certified Data Scientist
These certifications can validate your skills and make you a more competitive candidate.
Experience Requirements
Typically, a Mid-level Data Operations Manager should have 3-7 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 project management and team leadership is also highly beneficial.
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