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

Salary details

The average mid-level / intermediate Data Quality Manager salary lies between USD 75,000 and USD 145,000 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. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Quality Manager roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 43 jobs Data governance | 21 jobs Data management | 16 jobs SQL | 12 jobs Agile | 10 jobs Engineering | 8 jobs Computer Science | 8 jobs Architecture | 7 jobs Pipelines | 7 jobs Data analysis | 7 jobs Data pipelines | 6 jobs Excel | 6 jobs Python | 5 jobs R | 5 jobs Research | 5 jobs Data Analytics | 5 jobs Finance | 5 jobs Power BI | 5 jobs Consulting | 4 jobs Banking | 4 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Quality Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 18 jobs Flex hours | 17 jobs Health care | 13 jobs Team events | 11 jobs Insurance | 9 jobs Salary bonus | 8 jobs Startup environment | 7 jobs Competitive pay | 7 jobs Equity / stock options | 6 jobs Parental leave | 4 jobs Flex vacation | 4 jobs Wellness | 4 jobs Medical leave | 4 jobs Flexible spending account | 3 jobs 401(k) matching | 2 jobs Home office stipend | 2 jobs Gear | 1 jobs Conferences | 1 jobs Relocation support | 1 jobs Pet friendly | 1 jobs

Salary Composition for a Mid-level Data Quality Manager

The salary for a Mid-level Data Quality Manager in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company’s policy and individual performance, generally making up 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can account for 5% to 10%.

Regional differences can influence these percentages, with tech hubs like San Francisco or New York offering higher base salaries but potentially lower relative bonuses due to the competitive market. Industry also plays a role; for instance, tech companies might offer more in stock options, while financial services might provide higher cash bonuses. Company size can affect the composition as well, with larger companies often providing more structured bonus programs and smaller companies offering more equity-based compensation.

Steps to Increase Salary from This Position

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas like data governance or advanced analytics can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's degree or specialized certifications, can position you for higher-paying roles.

• Leadership Roles: Aim for roles with more responsibility, such as Senior Data Quality Manager or Director of Data Quality, which typically offer higher salaries.

• Networking: Engage with professional networks and industry groups to learn about new opportunities and salary trends.

• Performance Excellence: Consistently exceed performance expectations to qualify for higher bonuses and salary increments.

Educational Requirements

Most Mid-level Data Quality Manager positions require at least a bachelor's degree in a relevant field such as Computer Science, Information Systems, Statistics, or Data Science. A master's degree in a related discipline can be advantageous and is often preferred by employers, especially for those looking to advance to senior roles. Courses in data management, database systems, and data analytics are particularly beneficial.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Information Management Professional (CIMP): Focuses on data governance and quality.
• Certified Data Management Professional (CDMP): Offers a comprehensive understanding of data management principles.
• Six Sigma Certification: Useful for process improvement and quality management.
• AWS Certified Data Analytics: Beneficial if working with cloud-based data solutions.

Experience Requirements

Typically, a Mid-level Data Quality Manager is expected to have 3 to 7 years of experience in data management, data quality, or a related field. Experience in managing data quality projects, implementing data governance frameworks, and working with data analytics tools is often required. Leadership experience, even in a smaller capacity, can be a significant advantage.

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