Salary for Senior-level / Expert Data Management Consultant during 2024

Salary details

The average senior-level / expert Data Management Consultant salary lies between USD 85,000 and USD 137,972 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. 15, 2024

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

The three most common job tag items assiciated with senior-level / expert Data Management Consultant job listings are Data management, Data quality and Consulting. 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 management | 32 jobs Data quality | 18 jobs Consulting | 17 jobs SQL | 14 jobs Data governance | 14 jobs Engineering | 10 jobs Data Analytics | 10 jobs Talend | 9 jobs ETL | 8 jobs Banking | 8 jobs Security | 8 jobs Agile | 8 jobs Excel | 8 jobs Python | 7 jobs Tableau | 7 jobs Research | 7 jobs Power BI | 7 jobs Architecture | 7 jobs Data strategy | 7 jobs Privacy | 7 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Management Consultant job listings are Career development, Equity / stock options and Flex hours. 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 | 19 jobs Equity / stock options | 8 jobs Flex hours | 7 jobs Health care | 6 jobs Salary bonus | 6 jobs Parental leave | 5 jobs Flat hierarchy | 5 jobs Fertility benefits | 5 jobs Startup environment | 4 jobs Team events | 4 jobs Insurance | 4 jobs 401(k) matching | 3 jobs Competitive pay | 3 jobs Medical leave | 3 jobs Flex vacation | 2 jobs Wellness | 2 jobs Relocation support | 2 jobs Fitness / gym | 1 jobs Conferences | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Management Consultant in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly based on the company's performance and individual achievements, usually ranging from 10-20% of the total salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5-10% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher than in other regions. Industry-specific factors can also influence salary composition, with finance and tech industries often offering more lucrative packages compared to others.

Increasing Salary

To increase your salary 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 or managerial roles that come with higher responsibilities and compensation.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Consulting: Consider offering your expertise as a consultant to multiple organizations, which can increase your income potential.
• Advanced Education: Pursue advanced degrees or certifications that can justify a higher salary.

Educational Requirements

Most Senior-level/Expert Data Management Consultant roles require at least a bachelor's degree in a relevant 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 or AI/ML model development. Advanced degrees demonstrate a deeper understanding of the field and can be a significant advantage in securing higher-level positions.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• TensorFlow Developer Certificate

These certifications validate your skills and knowledge in specific areas of AI/ML and data management, making you a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level/Expert Data Management Consultant is expected to have at least 5-10 years of experience in data management, AI/ML, or related fields. This experience should include hands-on work with data analysis, model development, and implementation of data-driven solutions. Experience in leading projects, managing teams, and collaborating with cross-functional teams is also highly valued.

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