Salary for Senior-level / Expert Data Quality Lead during 2024

Salary details

The average senior-level / expert Data Quality Lead salary lies between USD 113,840 and USD 170,760 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. 22, 2024

Top 20 Job Tags for Senior-level / Expert Data Quality Lead roles

The three most common job tag items assiciated with senior-level / expert Data Quality Lead 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 | 56 jobs Data governance | 32 jobs Data management | 22 jobs Banking | 15 jobs Finance | 15 jobs Power BI | 15 jobs SQL | 14 jobs Architecture | 8 jobs Data strategy | 7 jobs Privacy | 7 jobs Research | 6 jobs Excel | 6 jobs Python | 5 jobs Machine Learning | 5 jobs Testing | 5 jobs Agile | 5 jobs Data analysis | 5 jobs Engineering | 4 jobs Consulting | 4 jobs Security | 4 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Quality Lead roles

The three most common job benefits and perks assiciated with senior-level / expert Data Quality Lead job listings are Career development, Health care and Insurance. 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 | 34 jobs Health care | 33 jobs Insurance | 27 jobs Wellness | 25 jobs Medical leave | 23 jobs Competitive pay | 21 jobs Team events | 18 jobs Flex hours | 17 jobs Equity / stock options | 15 jobs Flex vacation | 11 jobs Conferences | 10 jobs Fertility benefits | 10 jobs 401(k) matching | 8 jobs Salary bonus | 5 jobs Parental leave | 4 jobs Fitness / gym | 2 jobs Startup environment | 2 jobs Transparency | 2 jobs Flat hierarchy | 1 jobs Relocation support | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Quality Lead typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with other benefits. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data quality in these sectors. Larger companies often provide more comprehensive benefits packages, including retirement plans and health insurance, which can add significant value to the overall compensation.

Increasing Salary

To increase your salary further from this position, consider pursuing leadership roles such as Head of Data Quality or Chief Data Officer. These roles often come with higher compensation and more strategic responsibilities. Additionally, expanding your expertise in emerging technologies like AI and machine learning can make you more valuable to your organization. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary based on your performance and the value you bring to the company, especially if you have successfully led projects that resulted in significant improvements in data quality.

Educational Requirements

Most Senior-level/Expert Data Quality Lead positions require at least a bachelor's degree in a relevant field such as computer science, information technology, or data science. However, a master's degree or even a Ph.D. can be advantageous, especially in competitive markets. Advanced degrees often provide a deeper understanding of data management, statistical analysis, and machine learning, which are crucial for this role. Additionally, coursework in business administration can be beneficial for understanding the strategic implications of data quality.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your commitment to the field. Some common and helpful certifications include:

• Certified Information Systems Auditor (CISA)
• Certified Data Management Professional (CDMP)
• Six Sigma Green Belt or Black Belt
• Certified Information Systems Security Professional (CISSP)
• Microsoft Certified: Azure Data Scientist Associate

These certifications can provide you with specialized knowledge and skills that are highly valued in the industry.

Required Experience

Typically, a Senior-level/Expert Data Quality Lead is expected to have at least 7-10 years of experience in data management, data quality, or a related field. This experience should include a proven track record of leading data quality initiatives, managing teams, and implementing data governance frameworks. Experience in specific industries, such as finance or healthcare, can also be beneficial due to the unique data challenges these sectors face.

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