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

Salary details

The average senior-level / expert Data Team Lead salary lies between USD 84,400 and USD 173,900 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: 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

In the United States, the salary for a Senior-level or Expert Data Team Lead in AI/ML/Data Science typically comprises a base salary, performance 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%. Performance bonuses can vary significantly, often between 10% to 20% of the total compensation, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can make up 5% to 15% of the total package. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, while regions with a lower cost of living might offer a higher percentage of fixed salary. Industry also plays a role; for instance, finance and healthcare might offer higher bonuses compared to academia or non-profits.

Increasing Salary Further

To increase your salary beyond the median of USD 160,500, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing, computer vision, or reinforcement learning, which can command higher salaries.
• Leadership Skills: Enhance your leadership and management skills to take on larger teams or more strategic roles, such as Director of Data Science or Chief Data Officer.
• 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.
• Consulting or Freelancing: Consider consulting or freelancing on the side, which can provide additional income and broaden your experience.

Educational Requirements

Most Senior-level 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 cutting-edge research or in-depth technical expertise. Some positions may also consider candidates with a strong bachelor's degree combined with extensive experience and a proven track record in the field.

Helpful Certificates

While not always mandatory, certain certifications can enhance your credentials 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 for senior roles.

Required Experience

Typically, a Senior-level Data Team Lead position requires at least 7-10 years of experience in data science, machine learning, or a related field. This experience should include a mix of technical expertise, project management, and leadership roles. Experience in leading cross-functional teams, managing complex projects, and delivering data-driven solutions is crucial. Additionally, experience in a specific industry can be beneficial, as it provides domain knowledge that can be applied to industry-specific challenges.

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