Salary for Senior-level / Expert Business Intelligence Lead in United States during 2024

Salary details

The average senior-level / expert Business Intelligence Lead salary lies between USD 104,800 and USD 144,300 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 Business Intelligence Lead roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Lead job listings are Business Intelligence, SQL and Tableau. 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:

Business Intelligence | 43 jobs SQL | 40 jobs Tableau | 29 jobs Python | 27 jobs Power BI | 26 jobs Data analysis | 24 jobs ETL | 20 jobs Statistics | 19 jobs Finance | 16 jobs Engineering | 15 jobs Data visualization | 14 jobs Computer Science | 14 jobs Machine Learning | 12 jobs Mathematics | 12 jobs Data Warehousing | 11 jobs Looker | 11 jobs AWS | 11 jobs Agile | 11 jobs Azure | 10 jobs R | 9 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Lead job listings are Career development, Flex hours 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 | 31 jobs Flex hours | 16 jobs Health care | 14 jobs Parental leave | 13 jobs Salary bonus | 13 jobs Competitive pay | 12 jobs Insurance | 12 jobs Startup environment | 10 jobs Team events | 10 jobs Gear | 9 jobs Medical leave | 9 jobs Equity / stock options | 8 jobs Flex vacation | 7 jobs Wellness | 7 jobs 401(k) matching | 4 jobs Pet friendly | 3 jobs Yoga | 2 jobs Home office stipend | 2 jobs Fertility benefits | 2 jobs Lunch / meals | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level/Expert Business Intelligence Lead in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the largest portion, ranging from 70% to 85% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually account for 10% to 20%. Additional remuneration, such as stock options, can vary significantly depending on the company size and industry. For instance, tech companies, especially in regions like Silicon Valley, may offer substantial stock options as part of the compensation package. In contrast, companies in other regions or industries might offer smaller bonuses or fewer stock options.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Aim for leadership roles that involve strategic decision-making and managing larger teams or projects. This can position you for higher-paying roles such as Director of Data Science or Chief Data Officer.
• Networking: Build a strong professional network by attending industry conferences, joining relevant professional groups, and engaging in online forums. Networking can open up opportunities for higher-paying positions.
• Industry Transition: Consider transitioning to industries that offer higher compensation for AI/ML roles, such as finance, healthcare, or tech startups.

Educational Requirements

Most Senior-level/Expert Business Intelligence Lead positions require at least a bachelor's degree in a related 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 AI/ML model development. Advanced degrees can provide a deeper understanding of machine learning algorithms, data structures, and statistical methods, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure services to build and deploy machine learning models.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Highlights your ability to design, implement, and maintain machine learning solutions on AWS.

Required Experience

Typically, this role requires at least 7-10 years of experience in data analysis, business intelligence, or a related field. Experience in leading data-driven projects, managing teams, and working with large datasets is crucial. Additionally, hands-on experience with AI/ML tools and platforms, such as TensorFlow, PyTorch, or Hadoop, is often required. 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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