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

Salary details

The average senior-level / expert Data Management Lead salary lies between USD 71,000 and USD 142,320 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 Senior-level / Expert Data Management Lead roles

The three most common job tag items assiciated with senior-level / expert Data Management Lead job listings are Data management, Data governance 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 management | 99 jobs Data governance | 42 jobs Data quality | 42 jobs Research | 34 jobs Banking | 27 jobs Engineering | 26 jobs Excel | 26 jobs Consulting | 23 jobs GCP | 21 jobs SQL | 20 jobs Computer Science | 19 jobs Finance | 17 jobs Architecture | 17 jobs Agile | 17 jobs Security | 16 jobs DataOps | 16 jobs Privacy | 15 jobs CDISC | 15 jobs Tableau | 14 jobs Machine Learning | 13 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Management Lead job listings are Career development, Team events 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 | 48 jobs Team events | 27 jobs Health care | 26 jobs Competitive pay | 24 jobs Flex hours | 18 jobs Wellness | 14 jobs Parental leave | 13 jobs Startup environment | 12 jobs Insurance | 10 jobs Equity / stock options | 9 jobs Medical leave | 7 jobs Travel | 6 jobs Salary bonus | 5 jobs Flex vacation | 4 jobs Relocation support | 4 jobs Home office stipend | 4 jobs 401(k) matching | 2 jobs Fitness / gym | 2 jobs Transparency | 2 jobs Gear | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Management 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 North America and Western Europe, the base salary often constitutes 70-80% of the total compensation package, with bonuses and additional incentives making up the rest. In tech-heavy industries like Silicon Valley, stock options or equity can be a significant part of the package. In contrast, in regions with lower living costs, the base salary might be a larger proportion of the total compensation. Larger companies may offer more comprehensive benefits and bonuses, while smaller companies might provide more equity or profit-sharing opportunities.

Increasing Salary Potential

To increase your salary from this 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 deep learning, natural language processing, or big data analytics can make you more valuable.
• Leadership Roles: Seek opportunities to lead larger teams or projects, which can demonstrate your capability to handle more responsibility and justify a higher salary.
• Networking: Build a strong professional network within the industry. This can open up opportunities for higher-paying roles and provide insights into salary trends.
• Advanced Education: Pursuing further education, such as an MBA or a specialized master's degree, can position you for higher-level roles with better compensation.

Educational Requirements

Most Senior-level/Expert Data Management Lead positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles in research-intensive industries or companies. Advanced degrees can provide a deeper understanding of complex data systems and analytical techniques, which are crucial for high-level data management roles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Certified Analytics Professional (CAP)
• AWS Certified Big Data – Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate

These certifications can validate your skills in data management, analytics, and cloud-based data solutions, making you a more competitive candidate.

Required Experience

Typically, a Senior-level/Expert Data Management Lead role requires at least 7-10 years of experience in data management, analytics, or a related field. This experience should include a proven track record of managing data projects, leading teams, and implementing data strategies. Experience in specific industries, such as finance, healthcare, or technology, can also be advantageous, as it provides domain-specific insights that are valuable in data management.

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