Data Quality Lead Salary in 2024

Salary details

The average 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. 15, 2024

Top 20 Job Tags for Data Quality Lead roles

The three most common job tag items assiciated with 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 | 58 jobs Data governance | 32 jobs Data management | 24 jobs Banking | 15 jobs Finance | 15 jobs Power BI | 15 jobs SQL | 14 jobs Data strategy | 9 jobs Research | 8 jobs Architecture | 8 jobs Privacy | 7 jobs Excel | 6 jobs Computer Science | 6 jobs Python | 5 jobs R | 5 jobs Machine Learning | 5 jobs Data Analytics | 5 jobs Testing | 5 jobs Agile | 5 jobs Data analysis | 5 jobs

Top 20 Job Perks/Benefits for Data Quality Lead roles

The three most common job benefits and perks assiciated with 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 for a Data Quality Lead

The salary for a Data Quality Lead in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. 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 and stock options compared to smaller startups, which might offer higher base salaries to attract talent.

Steps to Increase Salary from This Position

To increase your salary from the position of a Data Quality Lead, 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 can make you more valuable.
• Leadership Roles: Aim for roles with greater responsibility, such as Data Quality Manager or Director of Data Quality, which typically come with higher pay.
• Cross-Functional Expertise: Develop expertise in related areas such as data governance, data engineering, or data analytics to broaden your impact within the organization.
• Networking and Industry Engagement: Engage with industry groups, attend conferences, and contribute to publications to increase your visibility and reputation in the field.
• Negotiation Skills: Improve your negotiation skills to better advocate for salary increases during performance reviews or when taking on new roles.

Educational Requirements

Most Data Quality Lead positions require at least a bachelor's degree in a relevant field such as computer science, information technology, data science, or a related discipline. However, a master's degree or higher in data science, business administration, or a specialized field can be advantageous and may be preferred by some employers. Advanced degrees often provide a deeper understanding of data management principles and analytical techniques, which are crucial for this role.

Helpful Certifications

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

• Certified Data Management Professional (CDMP): Offered by DAMA International, this certification covers data management principles and practices.
• Certified Information Systems Auditor (CISA): Useful for understanding data governance and compliance aspects.
• AWS Certified Big Data – Specialty: Demonstrates expertise in using AWS services for data analysis and management.
• Google Professional Data Engineer: Validates skills in designing, building, and operationalizing data processing systems.

Required Experience

Typically, a Data Quality Lead is expected to have 5-10 years of experience in data management, data quality, or related fields. This experience should include hands-on work with data quality tools, data governance frameworks, and a strong understanding of data lifecycle management. Experience in leading teams and projects is also crucial, as the role often involves coordinating with cross-functional teams to ensure data quality standards are met.

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