Data Product Manager Salary in United States during 2024

Salary details

The average Data Product Manager salary lies between USD 123,800 and USD 192,840 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: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Data Product Manager roles

The three most common job tag items assiciated with Data Product Manager job listings are Engineering, SQL and Agile. 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:

Engineering | 186 jobs SQL | 152 jobs Agile | 135 jobs Machine Learning | 85 jobs Computer Science | 83 jobs Data analysis | 79 jobs Research | 77 jobs Python | 76 jobs Architecture | 71 jobs Data governance | 69 jobs Data Analytics | 63 jobs Security | 63 jobs Tableau | 61 jobs Data quality | 60 jobs Data management | 58 jobs Testing | 52 jobs Privacy | 51 jobs ETL | 50 jobs KPIs | 47 jobs Pipelines | 45 jobs

Top 20 Job Perks/Benefits for Data Product Manager roles

The three most common job benefits and perks assiciated with Data Product Manager job listings are Career development, Health care and Competitive pay. 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 | 192 jobs Health care | 126 jobs Competitive pay | 94 jobs Startup environment | 79 jobs Equity / stock options | 74 jobs Flex hours | 74 jobs Salary bonus | 70 jobs Team events | 64 jobs Insurance | 60 jobs Flex vacation | 50 jobs Medical leave | 41 jobs Parental leave | 39 jobs 401(k) matching | 31 jobs Wellness | 30 jobs Transparency | 19 jobs Home office stipend | 19 jobs Flexible spending account | 13 jobs Travel | 9 jobs Gear | 8 jobs Fitness / gym | 8 jobs

Salary Composition for Data Product Managers

In the United States, the salary composition for a Data Product Manager typically includes a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly, often comprising 10% to 20% of the total compensation, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, can be a significant part of the package, particularly in startups or large tech firms, and may account for 10% to 30% of the total compensation. The exact composition can vary based on the region, with tech hubs like Silicon Valley offering higher equity components, and the industry, with tech and finance sectors typically providing more lucrative packages. Company size also plays a role, with larger companies often offering more comprehensive benefits and bonuses.

Steps to Increase Salary

To increase your salary from a Data Product Manager position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Mastering new tools and technologies can make you more valuable to your employer.
• Advanced Education: Pursuing an advanced degree, such as an MBA or a specialized master's in data science or AI, can open up higher-paying opportunities.
• Networking: Build a strong professional network. Engaging with industry leaders and attending conferences can lead to new opportunities and salary negotiations.
• Leadership Roles: Aim for leadership positions within your organization. Taking on more responsibility can justify a higher salary.
• Industry Transition: Consider moving to a higher-paying industry, such as finance or tech, where data product management roles are often more lucrative.

Educational Requirements

Most Data Product Manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, engineering, or business. However, a master's degree or an MBA is often preferred, especially for roles in larger companies or more competitive markets. A strong educational background in both technical and business disciplines is highly valued, as it equips candidates with the necessary skills to bridge the gap between data science teams and business objectives.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise. Some valuable certifications include:

• Certified Scrum Product Owner (CSPO): Useful for understanding agile product management.
• Google Data Analytics Professional Certificate: Provides foundational data analysis skills.
• AWS Certified Machine Learning – Specialty: Validates expertise in machine learning on the AWS platform.
• Data Science Certification from Coursera or edX: Offers a comprehensive understanding of data science principles and tools.

Experience Requirements

Typically, a Data Product Manager is expected to have 3 to 5 years of experience in product management, data analysis, or a related field. Experience in managing cross-functional teams and projects, as well as a proven track record of successful product launches, is highly desirable. Familiarity with AI/ML technologies and data-driven decision-making processes is crucial, as is experience in agile methodologies and stakeholder management.

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