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

Salary details

The average senior-level / expert Data Team Lead salary lies between USD 97,500 and USD 160,500 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: Nov. 17, 2024

Top 20 Job Tags for Senior-level / Expert Data Team Lead roles

The three most common job tag items assiciated with senior-level / expert Data Team Lead job listings are Data management, SQL and Research. 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 | 44 jobs SQL | 33 jobs Research | 33 jobs Engineering | 30 jobs Excel | 24 jobs DataOps | 19 jobs Computer Science | 18 jobs Data quality | 18 jobs Data Analytics | 15 jobs KPIs | 15 jobs Tableau | 14 jobs Business Intelligence | 14 jobs Python | 13 jobs Power BI | 13 jobs Data analysis | 13 jobs Spark | 12 jobs AWS | 12 jobs Finance | 11 jobs Privacy | 11 jobs Machine Learning | 10 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Team Lead job listings are Career development, Health care and Startup environment. 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 | 67 jobs Health care | 28 jobs Startup environment | 21 jobs Flex hours | 15 jobs Conferences | 15 jobs Team events | 14 jobs Competitive pay | 10 jobs Fitness / gym | 7 jobs Insurance | 6 jobs Salary bonus | 6 jobs Home office stipend | 6 jobs Wellness | 5 jobs Gear | 5 jobs Transparency | 5 jobs Equity / stock options | 4 jobs Parental leave | 4 jobs Flex vacation | 3 jobs Medical leave | 3 jobs Relocation support | 2 jobs 401(k) matching | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Team Lead in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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 the cost of living is also elevated. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with substantial bonuses or equity. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of data-driven decisions in these fields. Larger companies often provide more comprehensive benefits packages, including retirement plans and health insurance, which can add significant value to the overall compensation.

Increasing Salary Potential

To increase your salary from a Senior-level/Expert Data Team Lead position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing or computer vision, which can command higher salaries.
• Leadership Skills: Enhance your leadership and management skills to transition into higher executive roles like Chief Data Officer (CDO).
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and valuable to employers.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level/Expert Data Team Lead positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that involve research or developing new algorithms. Employers often look for candidates with a strong foundation in both theoretical and applied aspects of AI/ML.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Data Scientist (CDS)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can help validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, a Senior-level/Expert Data Team Lead should have at least 7-10 years of experience in data science or related fields. This experience should include hands-on work with data analysis, machine learning model development, and deployment. Leadership experience is crucial, as the role involves managing teams, projects, and collaborating with other departments. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be critical for certain roles.

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