Data Product Manager Salary in 2023

Salary details

The average Data Product Manager salary lies between USD 137,500 and USD 175,000 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 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 composition for a Data Product Manager can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonus, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation package. In tech hubs like Silicon Valley, the base salary might be higher compared to other regions due to the cost of living and competitive market.

• Bonus: Bonuses can be performance-based or company-wide and are often a percentage of the base salary. In industries like finance or large tech companies, bonuses can be substantial, sometimes reaching up to 20% or more of the base salary.

• Additional Remuneration: This includes stock options, equity, or other benefits like health insurance, retirement plans, and paid time off. Startups might offer more equity to compensate for a lower base salary, while larger companies might provide a more balanced package with comprehensive benefits.

Steps to Increase Salary

To increase your salary from the position of a Data Product Manager, 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.

• Networking: Build a strong professional network. Engaging with industry leaders and attending conferences can open up new opportunities and provide insights into salary trends.

• Performance and Results: Demonstrate your impact on the company’s bottom line. Successfully launching products or improving existing ones can be a strong case for a salary increase.

• Negotiation: When discussing salary, be prepared with market research and a clear understanding of your worth. Highlight your achievements and contributions to the company.

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 in larger organizations or those with a strategic focus.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

• Certified Scrum Product Owner (CSPO): Useful for understanding agile methodologies and product management.

• Google Data Analytics Professional Certificate: Provides foundational knowledge in data analysis.

• AWS Certified Machine Learning – Specialty: Validates expertise in machine learning on the AWS platform.

• Data Science Certifications: From platforms like Coursera or edX, these can provide a solid grounding in data science principles.

Experience Requirements

Typically, a Data Product Manager is expected to have 3-5 years of experience in product management, data analysis, or a related field. Experience in leading cross-functional teams and managing product lifecycles is highly valued. Prior experience in AI/ML projects or data-driven decision-making processes can be a significant advantage.

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