Data Product Manager Salary in United States during 2023

Salary details

The average Data Product Manager salary lies between USD 137,500 and USD 175,000 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

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 Machine Learning. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Engineering | 42 jobs SQL | 30 jobs Machine Learning | 23 jobs Research | 23 jobs Agile | 22 jobs Computer Science | 19 jobs Data analysis | 18 jobs Privacy | 18 jobs Big Data | 16 jobs Tableau | 15 jobs Data visualization | 14 jobs Data management | 14 jobs R | 13 jobs Data Analytics | 13 jobs Scrum | 12 jobs Testing | 11 jobs Python | 10 jobs Finance | 10 jobs Data quality | 10 jobs R&D | 9 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 Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 33 jobs Health care | 27 jobs Startup environment | 21 jobs Competitive pay | 19 jobs Flex hours | 17 jobs Insurance | 17 jobs Flex vacation | 15 jobs Team events | 13 jobs Equity / stock options | 11 jobs Parental leave | 10 jobs Transparency | 9 jobs Wellness | 7 jobs 401(k) matching | 6 jobs Home office stipend | 6 jobs Salary bonus | 5 jobs Fitness / gym | 4 jobs Medical leave | 4 jobs Gear | 3 jobs Unlimited paid time off | 3 jobs Snacks / Drinks | 2 jobs

Salary Composition for Data Product Managers

The salary for a Data Product Manager in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. 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 10-20% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Industry and company size also influence salary composition, with larger companies often offering more comprehensive bonus and stock option plans.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering new tools and technologies can make you more valuable to your employer.
• Advanced Education: Pursuing further education, such as an MBA or a specialized master's degree in data science or AI, can open up higher-paying opportunities.
• Networking: Build a strong professional network. Engaging with industry peers can lead to new job opportunities or promotions.
• Performance Excellence: Consistently exceed performance expectations. Demonstrating your impact on the company's bottom line can justify a salary increase.
• Negotiation: Be prepared to negotiate your salary during performance reviews or when taking on new responsibilities.

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 can be advantageous, especially for roles that require a deep understanding of both technical and business aspects. Some positions may also value interdisciplinary studies that combine technology and business.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to the field. 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 Professional Certificate by IBM: Offers a comprehensive introduction to data science.

Experience Requirements

Typically, a Data Product Manager role requires 3-5 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 launching successful data-driven products, is highly valued. Familiarity with AI/ML technologies and data science methodologies is often essential.

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