Salary for Senior-level / Expert Technical Lead during 2024

Salary details

The average senior-level / expert Technical Lead salary lies between USD 135,500 and USD 265,080 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 Technical Lead roles

The three most common job tag items assiciated with senior-level / expert Technical Lead job listings are Python, Engineering and Machine Learning. 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:

Python | 234 jobs Engineering | 216 jobs Machine Learning | 200 jobs Computer Science | 173 jobs Architecture | 165 jobs SQL | 140 jobs AWS | 117 jobs Security | 115 jobs Pipelines | 110 jobs Azure | 103 jobs Testing | 92 jobs Research | 88 jobs Agile | 82 jobs ETL | 78 jobs Java | 78 jobs APIs | 70 jobs Generative AI | 65 jobs Data pipelines | 63 jobs DevOps | 61 jobs Spark | 60 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Technical Lead job listings are Career development, Health care and Equity / stock options. 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 | 217 jobs Health care | 107 jobs Equity / stock options | 85 jobs Salary bonus | 72 jobs Startup environment | 63 jobs Flex hours | 59 jobs Competitive pay | 55 jobs Team events | 54 jobs Insurance | 45 jobs Parental leave | 31 jobs Flex vacation | 31 jobs Conferences | 23 jobs Medical leave | 22 jobs 401(k) matching | 19 jobs Wellness | 16 jobs Relocation support | 10 jobs Transparency | 9 jobs Gear | 4 jobs Unlimited paid time off | 4 jobs Fitness / gym | 3 jobs

Salary Composition

The salary for a Senior-level/Expert Technical Lead in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement contributions, and paid time off. The composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Increasing Salary Further

To increase your salary beyond the median of USD 195,600, consider pursuing leadership roles that involve strategic decision-making or managing larger teams. Transitioning into roles such as Chief Data Officer or VP of Data Science can offer higher compensation. Additionally, specializing in high-demand areas like AI ethics, machine learning security, or quantum computing can make you more valuable. Networking with industry leaders and participating in speaking engagements or publishing research can also enhance your profile and lead to higher-paying opportunities.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a master's degree in a related 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 academic background combined with practical experience in applying AI/ML techniques to real-world problems.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials. Certifications like the Certified Data Scientist (CDS), TensorFlow Developer Certificate, or AWS Certified Machine Learning can demonstrate your expertise and commitment to staying current in the field. These certifications can be particularly beneficial if they align with the technologies and platforms used by your prospective employer.

Required Experience

Typically, a Senior-level/Expert Technical Lead position requires at least 8-10 years of experience in AI/ML or data science roles. This experience should include a track record of leading projects, managing teams, and delivering successful AI/ML solutions. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous, as it demonstrates your ability to apply AI/ML techniques within that domain.

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