Data Product Manager Salary in 2024

Salary details

The average Data Product Manager salary lies between USD 120,000 and USD 192,840 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

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 | 184 jobs SQL | 151 jobs Agile | 134 jobs Machine Learning | 85 jobs Computer Science | 83 jobs Data analysis | 78 jobs Python | 76 jobs Research | 75 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 | 51 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 | 190 jobs Health care | 124 jobs Competitive pay | 93 jobs Startup environment | 78 jobs Equity / stock options | 74 jobs Flex hours | 74 jobs Salary bonus | 68 jobs Team events | 64 jobs Insurance | 60 jobs Flex vacation | 49 jobs Medical leave | 40 jobs Parental leave | 39 jobs 401(k) matching | 31 jobs Wellness | 30 jobs Transparency | 19 jobs Home office stipend | 18 jobs Flexible spending account | 13 jobs Travel | 9 jobs Conferences | 8 jobs Relocation support | 8 jobs

Salary Composition for a Data Product Manager in AI/ML/Data Science

The salary composition for a Data Product Manager in AI/ML/Data Science 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 package, depending on individual and company performance. Additional remuneration, such as stock options, can make up the remaining 10% to 20%, particularly in startups or large tech firms.

Regional differences play a significant role in salary composition. For instance, in the United States, tech hubs like San Francisco and New York tend to offer higher base salaries and more substantial equity components compared to other regions. Industry also impacts salary composition; tech and finance sectors typically offer more competitive packages than other industries. Company size can influence the structure as well, with larger companies often providing more comprehensive benefits and bonuses, while startups might offer more equity to compensate for lower base salaries.

Steps to Increase Salary from a Data Product Manager Position

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 current or potential employers.
• Networking: Build a strong professional network within the industry. Networking can open up opportunities for higher-paying positions and provide insights into industry trends.
• Advanced Education: Pursue advanced degrees or certifications that are relevant to your field. An MBA or a specialized master's degree in data science or AI can enhance your qualifications.
• Leadership Roles: Aim for leadership positions within your organization. Taking on more responsibility can lead to promotions and salary increases.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements for a Data Product Manager

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 is often preferred, especially in competitive markets. Degrees that combine technical and business skills, such as an MBA with a focus on technology or a master's in data science, are particularly valuable.

Helpful Certifications for a Data Product Manager

While not always mandatory, certain certifications can enhance your profile as a Data Product Manager. Some of the most beneficial certifications include:

• Certified Scrum Product Owner (CSPO): This certification is valuable for understanding agile product management practices.
• Project Management Professional (PMP): Useful for managing complex projects and teams.
• Google Data Analytics Professional Certificate: Provides foundational knowledge in data analysis.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in machine learning on the AWS platform.

Experience Required for a Data Product Manager

Typically, a Data Product Manager role requires 3 to 5 years of experience in product management, data analysis, or a related field. Experience in managing cross-functional teams and projects is crucial. Familiarity with AI/ML technologies and data-driven decision-making processes is also essential. Prior experience in a similar industry or with similar products can be a significant advantage.

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