Salary for Senior-level / Expert Data Strategist during 2024

Salary details

The average senior-level / expert Data Strategist salary lies between USD 110,100 and USD 185,000 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

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Strategist roles

The three most common job tag items assiciated with senior-level / expert Data Strategist job listings are Data strategy, Security and Architecture. 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 strategy | 32 jobs Security | 17 jobs Architecture | 17 jobs Data management | 17 jobs Consulting | 16 jobs Research | 13 jobs Data governance | 13 jobs Engineering | 12 jobs Computer Science | 12 jobs Python | 11 jobs Statistics | 11 jobs Privacy | 11 jobs Machine Learning | 10 jobs Tableau | 10 jobs SQL | 10 jobs Data Analytics | 10 jobs Data analysis | 10 jobs Data visualization | 9 jobs Data quality | 9 jobs R | 8 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Strategist roles

The three most common job benefits and perks assiciated with senior-level / expert Data Strategist job listings are Career development, Health care and Parental leave. 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 | 34 jobs Health care | 15 jobs Parental leave | 12 jobs Team events | 10 jobs Salary bonus | 9 jobs 401(k) matching | 7 jobs Equity / stock options | 7 jobs Flex hours | 7 jobs Wellness | 6 jobs Competitive pay | 6 jobs Startup environment | 5 jobs Insurance | 5 jobs Conferences | 4 jobs Medical leave | 3 jobs Home office stipend | 3 jobs Unlimited paid time off | 3 jobs Flex vacation | 1 jobs Gear | 1 jobs Fitness / gym | 1 jobs Relocation support | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Strategist typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with higher bonuses or other benefits. Industries such as finance or healthcare may offer higher bonuses compared to non-profit or academic sectors. Larger companies often provide more comprehensive benefits and stock options, while smaller startups might offer equity as a significant part of the compensation.

Increasing Salary

To increase your salary from a Senior-level Data Strategist position, consider the following steps:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or AI ethics, which are in high demand.
• Leadership Roles: Transition into leadership or managerial roles, such as Head of Data Science or Chief Data Officer, which typically offer higher salaries.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and valuable to employers.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Consulting: Consider offering consulting services, which can be lucrative and provide additional income streams.

Educational Requirements

Most Senior-level Data Strategist positions require at least a master's degree in a relevant field such as Data Science, Computer Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that involve research or advanced technical challenges. Some positions may also consider candidates with a strong bachelor's degree combined with extensive experience and proven expertise in the field.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.
• AWS Certified Machine Learning – Specialty: Shows expertise in using AWS services for machine learning.
• Microsoft Certified: Azure AI Engineer Associate: Highlights skills in using Azure AI services.

Required Experience

Typically, a Senior-level Data Strategist is expected to have at least 7-10 years of experience in data science, analytics, or a related field. This experience should include a proven track record of leading data-driven projects, developing data strategies, and delivering actionable insights. Experience in managing teams and collaborating with cross-functional stakeholders is also highly valued.

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