Salary for Senior-level / Expert Business Intelligence Manager during 2024

Salary details

The average senior-level / expert Business Intelligence Manager salary lies between USD 106,250 and USD 188,875 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 Business Intelligence Manager roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Manager 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 | 19 jobs SQL | 14 jobs Tableau | 11 jobs Power BI | 8 jobs Python | 7 jobs ETL | 7 jobs Engineering | 7 jobs Finance | 7 jobs Computer Science | 7 jobs Machine Learning | 6 jobs Research | 6 jobs Data Analytics | 6 jobs Data visualization | 6 jobs Statistics | 6 jobs Looker | 5 jobs E-commerce | 5 jobs R | 4 jobs Data Warehousing | 4 jobs Security | 4 jobs Data analysis | 4 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Manager job listings are Career development, Startup environment 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 | 13 jobs Startup environment | 7 jobs Equity / stock options | 6 jobs Flex hours | 5 jobs Team events | 5 jobs Unlimited paid time off | 4 jobs Health care | 3 jobs Competitive pay | 3 jobs Medical leave | 2 jobs Home office stipend | 2 jobs 401(k) matching | 1 jobs Flex vacation | 1 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Relocation support | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary composition for a Senior-level or Expert Business Intelligence Manager in AI/ML/Data Science typically includes a mix of fixed salary, bonuses, and additional remuneration. The fixed salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards, typically making up 10% to 20% of the total compensation. Additional remuneration might include stock options, profit-sharing, or other incentives, which can account for 5% to 10% of the total package.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while regions with a lower cost of living might offer more balanced packages. Industry also impacts salary composition; tech and finance sectors often provide higher bonuses and stock options compared to other industries. Company size can influence the availability of stock options and profit-sharing, with larger companies more likely to offer these incentives.

Increasing Salary Further

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 roles like Director of Data Science or Chief Data Officer.
• Networking: Build a strong professional network within the industry. Attend conferences, webinars, and workshops to connect with industry leaders and peers.
• Negotiation: When discussing salary, be prepared to negotiate based on your contributions, market research, and the value you bring to the company.
• Advanced Education: Consider pursuing an advanced degree, such as an MBA or a specialized master's in data science, to enhance your qualifications and open up higher-paying opportunities.

Educational Requirements

Most Senior-level Business Intelligence Manager roles in AI/ML/Data Science 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 is often preferred and can be a significant advantage. Degrees in business administration with a focus on data analytics or technology management are also valuable, especially for roles that require a blend of technical and business acumen.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. Some common and helpful certifications include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure's machine learning tools.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning, and deploying machine learning models on AWS.

Required Experience

Typically, a Senior-level Business Intelligence Manager in AI/ML/Data Science is expected to have at least 7-10 years of experience in data analytics, business intelligence, or a related field. This experience should include a proven track record of managing data-driven projects, leading teams, and delivering actionable insights that drive business decisions. Experience in specific industries, such as finance, healthcare, or technology, can also be beneficial.

Related salaries

Want to contribute?