Salary for Senior-level / Expert Data Governance Lead in United States during 2024

Salary details

The average senior-level / expert Data Governance Lead salary lies between USD 140,000 and USD 199,068 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 Senior-level / Expert Data Governance Lead roles

The three most common job tag items assiciated with senior-level / expert Data Governance Lead job listings are Data governance, Data management and Data quality. 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 governance | 85 jobs Data management | 67 jobs Data quality | 67 jobs Privacy | 39 jobs Security | 37 jobs Architecture | 35 jobs Computer Science | 24 jobs Engineering | 19 jobs Agile | 19 jobs SQL | 17 jobs Banking | 16 jobs Consulting | 14 jobs Finance | 14 jobs Excel | 12 jobs AWS | 11 jobs Informatica | 11 jobs Data strategy | 11 jobs Machine Learning | 10 jobs Research | 10 jobs Snowflake | 10 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Governance Lead job listings are Career development, Health care and Flex hours. 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 | 53 jobs Health care | 35 jobs Flex hours | 21 jobs Salary bonus | 20 jobs Competitive pay | 19 jobs Parental leave | 15 jobs Team events | 14 jobs Insurance | 14 jobs Equity / stock options | 13 jobs Wellness | 13 jobs Startup environment | 13 jobs 401(k) matching | 11 jobs Medical leave | 11 jobs Flex vacation | 10 jobs Transparency | 6 jobs Flexible spending account | 4 jobs Unlimited paid time off | 4 jobs Fitness / gym | 2 jobs Snacks / Drinks | 2 jobs Gear | 1 jobs

Salary Composition

In the United States, the salary for a Senior-level or Expert Data Governance Lead typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or other incentives, can make up the remaining 5% to 10%.

Regional differences can also impact salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options due to the competitive job market. In contrast, companies in smaller cities or regions with a lower cost of living might offer a higher percentage of compensation in bonuses or other incentives. Industry and company size also play a role; larger tech companies or financial institutions may provide more comprehensive compensation packages compared to smaller firms or those in less lucrative industries.

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and methodologies in AI/ML and data governance. This can make you more valuable to your current employer or attractive to potential employers.

• Leadership Roles: Seek opportunities to take on more leadership responsibilities, such as managing larger teams or overseeing more complex projects. Demonstrating your ability to lead and deliver results can position you for promotions or salary negotiations.

• Networking: Build a strong professional network within the industry. Networking can lead to new job opportunities or provide insights into salary trends and negotiation strategies.

• Industry Transition: Consider transitioning to industries that offer higher compensation for data governance roles, such as finance, healthcare, or technology.

• Advanced Education: Pursue advanced degrees or certifications that are highly regarded in the field, which can justify a higher salary.

Educational Requirements

Most Senior-level Data Governance Lead positions require at least a bachelor's degree in a relevant field such as computer science, information systems, data science, or business administration. However, a master's degree or even a Ph.D. can be advantageous, particularly in competitive markets or for roles with a strong emphasis on research and development. Advanced degrees in data science, business analytics, or an MBA with a focus on information systems can provide a significant edge.

Helpful Certifications

Several certifications can enhance your qualifications for a Data Governance Lead role:

• Certified Information Management Professional (CIMP): Focuses on data governance and management best practices.
• Certified Data Management Professional (CDMP): Offers a comprehensive understanding of data management principles.
• Data Governance and Stewardship Professional (DGSP): Specializes in data governance frameworks and stewardship.
• Project Management Professional (PMP): While not specific to data governance, it demonstrates strong project management skills, which are valuable in leadership roles.

Required Experience

Typically, a Senior-level Data Governance Lead is expected to have at least 8-10 years of experience in data management, data governance, or related fields. This experience should include a proven track record of implementing data governance frameworks, managing data quality initiatives, and leading cross-functional teams. Experience in specific industries, such as finance or healthcare, can also be beneficial, as it provides domain-specific knowledge that can be critical for certain roles.

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