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

Salary details

The average senior-level / expert Data Governance Lead salary lies between USD 120,645 and USD 199,068 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 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 | 86 jobs Data management | 68 jobs Data quality | 68 jobs Privacy | 40 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 Informatica | 12 jobs Excel | 12 jobs AWS | 11 jobs Data strategy | 11 jobs KPIs | 11 jobs Machine Learning | 10 jobs Research | 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 | 54 jobs Health care | 36 jobs Flex hours | 21 jobs Salary bonus | 21 jobs Competitive pay | 19 jobs Parental leave | 15 jobs Insurance | 15 jobs Team events | 14 jobs Equity / stock options | 13 jobs Wellness | 13 jobs Startup environment | 13 jobs Medical leave | 12 jobs 401(k) matching | 11 jobs Flex vacation | 10 jobs Transparency | 7 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

The salary for a Senior-level/Expert Data Governance Lead typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or other benefits, 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 stock options due to the competitive market. In contrast, companies in smaller cities or regions may offer lower base salaries but compensate with higher bonuses or benefits. Industry also impacts salary composition; tech and finance sectors often provide more lucrative packages compared to non-profit or government roles. Company size can influence the availability of stock options or profit-sharing, with larger companies more likely to offer these incentives.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data governance. This could involve learning new programming languages, mastering advanced data analytics tools, or gaining expertise in data privacy regulations.

• Leadership Roles: Seek opportunities to take on more leadership responsibilities, such as managing larger teams or spearheading strategic projects. Demonstrating your ability to drive significant business outcomes can position you for promotions or salary negotiations.

• Networking and Industry Engagement: Engage with industry peers through conferences, workshops, and online forums. Building a strong professional network can lead to new opportunities and insights into higher-paying roles.

• Negotiation Skills: Develop strong negotiation skills to effectively advocate for salary increases during performance reviews or when transitioning to new roles.

Educational Requirements

Most Senior-level/Expert 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 can provide a deeper understanding of data management principles, statistical analysis, and strategic decision-making, which are crucial for this role.

Helpful Certifications

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

• Certified Information Management Professional (CIMP): Focuses on data governance, data quality, and data management.
• Certified Data Management Professional (CDMP): Offers a comprehensive understanding of data management principles.
• Certified Information Systems Auditor (CISA): Useful for roles with a strong emphasis on data security and compliance.
• AWS Certified Big Data – Specialty: Beneficial for roles involving cloud-based data solutions.

Required Experience

Typically, a Senior-level/Expert Data Governance Lead should 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 cross-functional teams, and driving data-driven decision-making processes. Experience in specific industries, such as finance, healthcare, or technology, can also be advantageous, as it provides context-specific insights into data governance challenges and solutions.

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