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

Salary details

The average senior-level / expert Data Management Consultant salary lies between USD 82,783 and USD 100,000 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 Data Management Consultant roles

The three most common job tag items assiciated with senior-level / expert Data Management Consultant job listings are Data management, Consulting and Data quality. 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 | 29 jobs Consulting | 16 jobs Data quality | 16 jobs SQL | 13 jobs Data governance | 12 jobs Engineering | 10 jobs Data Analytics | 9 jobs Talend | 8 jobs Agile | 8 jobs Excel | 8 jobs ETL | 7 jobs Tableau | 7 jobs Research | 7 jobs Banking | 7 jobs Security | 7 jobs Power BI | 7 jobs Data strategy | 7 jobs DMBoK | 7 jobs Python | 6 jobs Oracle | 6 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, Flex hours 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 | 19 jobs Flex hours | 7 jobs Equity / stock options | 6 jobs Health care | 6 jobs Parental leave | 5 jobs Flat hierarchy | 5 jobs Fertility benefits | 5 jobs Startup environment | 4 jobs Team events | 4 jobs Salary bonus | 4 jobs Competitive pay | 3 jobs Medical leave | 3 jobs Insurance | 3 jobs 401(k) matching | 2 jobs Flex vacation | 2 jobs Relocation support | 2 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Conferences | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Data Management Consultant in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options or profit-sharing, might make up the remaining 5% to 10%.

Regional differences can also impact salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more lucrative stock options due to the competitive job market. In contrast, companies in smaller cities or regions might offer a higher percentage of performance bonuses to attract talent. Industry and company size also play a role; larger tech companies or financial institutions might provide more comprehensive compensation packages compared to smaller startups or non-tech industries.

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and methodologies within AI/ML and data science. Specializing in niche areas can make you more valuable.

• Advanced Education: Pursuing advanced degrees, such as a Ph.D. or an MBA with a focus on data science or business analytics, can open up higher-paying opportunities.

• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your earning potential. This might involve leading a team of data scientists or managing large-scale data projects.

• Networking and Industry Engagement: Actively participate in industry conferences, workshops, and seminars. Building a strong professional network can lead to higher-paying job offers or consulting opportunities.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher salaries or better compensation packages during job offers or performance reviews.

Educational Requirements

Most Senior-level or 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 is often preferred and can be a significant advantage. Degrees in business analytics or information systems with a strong focus on data management and analysis are also highly regarded.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some common and beneficial certifications include:

• Certified Data Management Professional (CDMP)
• Google Professional Data Engineer
• AWS Certified Big Data – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• SAS Certified Data Scientist

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a Senior-level or Expert Data Management Consultant is expected to have at least 5 to 10 years of experience in data management, data science, or a related field. This experience should include hands-on work with data analysis, machine learning models, and data architecture. Experience in leading projects, managing teams, or consulting in a client-facing role is also highly valued.

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