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

💰 The median Salary for Senior-level / Expert Data Management Lead in United States during 2024 is USD 126,540

✏️ This salary info is based on 16 individual salaries reported during 2024

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Salary details

The average senior-level / expert Data Management Lead salary lies between USD 102,000 and USD 196,320 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.

Job title
Data Management Lead
Experience
Senior-level / Expert
Region
United States
Salary year
2024
Sample size
16
Top 10%
$ 220,900
Top 25%
$ 196,320
Median
$ 126,540
Bottom 25%
$ 102,000
Bottom 10%
$ 71,000

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:

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 | 100 jobs Data governance | 43 jobs Data quality | 43 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 | 18 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, Health care and Team events. 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 | 49 jobs Health care | 27 jobs Team events | 27 jobs Competitive pay | 25 jobs Flex hours | 18 jobs Wellness | 15 jobs Parental leave | 13 jobs Startup environment | 12 jobs Insurance | 11 jobs Equity / stock options | 9 jobs Medical leave | 8 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

In the United States, the salary composition for a Senior-level or Expert Data Management Lead in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in larger tech firms or startups and can make up 5% to 15% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or education.

Next Steps for Salary Increase

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 science. Specializing in niche areas like deep learning, natural language processing, or big data analytics can make you more valuable.
  • Leadership Roles: Aim for roles with greater responsibility, such as leading larger teams or managing cross-functional projects. Demonstrating leadership and strategic impact can justify a higher salary.
  • Networking and Visibility: Build a strong professional network and increase your visibility in the industry through speaking engagements, publications, or contributions to open-source projects.
  • Negotiation: When discussing compensation, be prepared to negotiate based on your market research and the value you bring to the organization.

Educational Requirements

Most Senior-level or 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 that involve complex data analysis and machine learning model development. Advanced degrees can provide a deeper understanding of theoretical concepts and practical applications, which are crucial for high-level decision-making and strategy development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

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

These certifications can provide a competitive edge by validating your skills and knowledge in specific areas of data management and machine learning.

Required Experience

Typically, a Senior-level or Expert Data Management Lead role requires at least 7 to 10 years of experience in data management, data science, or related fields. This experience should include hands-on work with data analysis, machine learning model development, and data strategy implementation. Experience in leading teams, managing projects, and collaborating with cross-functional teams is also crucial. Demonstrated success in driving data-driven decision-making and delivering business value through data initiatives is often expected.

Related salaries

Data Management Lead @ $ 107,900 (global) Details
Data Management Lead @ $ 107,900 (global) - Senior-level / Expert Details
Data Management Lead @ $ 126,540 (United States) Details

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