Salary for Mid-level / Intermediate Data Operations Manager in United States during 2024

Salary details

The average mid-level / intermediate Data Operations Manager salary lies between USD 105,000 and USD 150,000 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: Dec. 15, 2024

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 | 46 jobs Data management | 30 jobs Engineering | 22 jobs Data governance | 21 jobs Data quality | 21 jobs SQL | 18 jobs Excel | 16 jobs Tableau | 14 jobs Research | 13 jobs Data Analytics | 13 jobs Security | 13 jobs Finance | 12 jobs Statistics | 12 jobs Business Intelligence | 10 jobs Data strategy | 10 jobs Computer Science | 10 jobs Architecture | 9 jobs Salesforce | 9 jobs Python | 8 jobs Power BI | 8 jobs

Top 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 | 25 jobs Flex hours | 14 jobs Team events | 13 jobs Health care | 10 jobs Equity / stock options | 8 jobs Competitive pay | 8 jobs Insurance | 7 jobs Flex vacation | 6 jobs Startup environment | 6 jobs Salary bonus | 6 jobs Parental leave | 5 jobs Medical leave | 5 jobs Relocation support | 4 jobs 401(k) matching | 2 jobs Wellness | 2 jobs Conferences | 2 jobs Lunch / meals | 1 jobs Snacks / Drinks | 1 jobs Home office stipend | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate 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 depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5-10%.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York may be higher due to the cost of living and demand for talent. Industry-wise, tech companies or financial institutions might offer more lucrative packages compared to academia or non-profits. Larger companies often provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract talent.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.

• Leadership Roles: Aim for leadership or senior management roles. Demonstrating your ability to lead teams and manage large-scale projects can position you for promotions and salary increases.

• Networking: Build a strong professional network. Engaging with industry peers through conferences, workshops, and online platforms can open up new opportunities and provide insights into higher-paying roles.

• Negotiation: When offered a new position or during performance reviews, negotiate for higher pay. Research industry standards and be prepared to justify your request with your achievements and contributions.

Educational Requirements

Most Mid-level/Intermediate Data Operations Manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree or even a Ph.D. can be advantageous, especially in competitive markets or for roles with a strong emphasis on research and development. Advanced degrees can also provide a deeper understanding of complex data systems and analytical techniques, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure Data Scientist Associate

These certifications can validate your expertise in specific tools and platforms, making you a more attractive candidate to potential employers.

Experience Requirements

Typically, a Mid-level/Intermediate Data Operations Manager is expected to have 5-7 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 leading projects or teams, as well as a proven track record of successful data-driven decision-making, is often required. Employers look for candidates who can demonstrate their ability to manage data operations effectively and contribute to strategic business goals.

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