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: Nov. 17, 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.

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