Data Quality Manager Salary in 2024

Salary details

The average Data Quality Manager salary lies between USD 63,866 and USD 145,000 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.

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 Data Quality Manager roles

The three most common job tag items assiciated with Data Quality Manager job listings are Data quality, Data governance and Data management. 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:

Data quality | 55 jobs Data governance | 28 jobs Data management | 23 jobs SQL | 16 jobs Engineering | 15 jobs Computer Science | 15 jobs Agile | 12 jobs Research | 9 jobs Architecture | 9 jobs Finance | 8 jobs Security | 7 jobs Excel | 7 jobs Pipelines | 7 jobs Data analysis | 7 jobs Python | 6 jobs R | 6 jobs Data Analytics | 6 jobs Banking | 6 jobs Data pipelines | 6 jobs KPIs | 6 jobs

Top 20 Job Perks/Benefits for Data Quality Manager roles

The three most common job benefits and perks assiciated with Data Quality Manager job listings are Career development, Flex hours and Health care. 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 | 20 jobs Health care | 20 jobs Team events | 13 jobs Insurance | 13 jobs Salary bonus | 11 jobs Competitive pay | 9 jobs Wellness | 8 jobs Startup environment | 8 jobs Equity / stock options | 7 jobs Flex vacation | 6 jobs Medical leave | 6 jobs Parental leave | 5 jobs 401(k) matching | 3 jobs Flexible spending account | 3 jobs Gear | 2 jobs Transparency | 2 jobs Home office stipend | 2 jobs Travel | 1 jobs Conferences | 1 jobs

Salary Composition

The salary for a Data Quality Manager in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually 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 play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options compared to other regions. Industry also impacts salary composition; tech companies might offer more in stock options, while financial services might provide higher bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller companies offering more equity-based compensation.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and data management tools. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing further education, such as a master's degree or an MBA, can open up higher-paying opportunities.
• Leadership Roles: Aim for leadership positions such as Director of Data Quality or Chief Data Officer, which come with higher compensation.
• Industry Transition: Moving to a higher-paying industry, such as finance or tech, can significantly increase your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying roles or companies.

Educational Requirements

Most Data Quality Manager positions require at least a bachelor's degree in a relevant field such as Computer Science, Information Technology, Data Science, or Statistics. However, a master's degree is often preferred, especially in larger organizations or more competitive industries. Advanced degrees in Business Administration or specialized fields like Data Analytics can also be advantageous.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate expertise. Some valuable certifications include:

• Certified Information Systems Auditor (CISA)
• Certified Data Management Professional (CDMP)
• Certified Information Management Professional (CIMP)
• Data Science Certifications from platforms like Coursera, edX, or Udacity
• Project Management Professional (PMP) for those looking to move into leadership roles

Required Experience

Typically, a Data Quality Manager is expected to have 5-10 years of experience in data management, data analysis, or a related field. Experience in managing teams, implementing data quality frameworks, and working with data governance is often required. Familiarity with AI/ML tools and methodologies is increasingly important as these technologies become more integrated into data management processes.

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