Salary for Mid-level / Intermediate Data Product Manager in United States during 2024

Salary details

The average mid-level / intermediate Data Product Manager salary lies between USD 120,000 and USD 171,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Product Manager roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 97 jobs SQL | 76 jobs Agile | 66 jobs Data analysis | 51 jobs Computer Science | 48 jobs Research | 43 jobs Python | 37 jobs Tableau | 37 jobs Security | 35 jobs Machine Learning | 33 jobs Data Analytics | 32 jobs Data quality | 32 jobs Architecture | 30 jobs Testing | 29 jobs Data visualization | 29 jobs Data governance | 28 jobs ETL | 27 jobs Jira | 25 jobs Data management | 25 jobs Power BI | 24 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Product Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 94 jobs Health care | 57 jobs Competitive pay | 45 jobs Startup environment | 37 jobs Equity / stock options | 32 jobs Salary bonus | 31 jobs Flex hours | 28 jobs Team events | 25 jobs Insurance | 25 jobs Flex vacation | 21 jobs Wellness | 15 jobs Medical leave | 15 jobs Parental leave | 13 jobs 401(k) matching | 12 jobs Conferences | 7 jobs Travel | 6 jobs Transparency | 6 jobs Home office stipend | 6 jobs Fitness / gym | 5 jobs Flexible spending account | 4 jobs

Salary Composition for a Mid-level Data Product Manager

The salary for a Mid-level 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 the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can significantly increase the total compensation package, especially if the company performs well. 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 variations exist as well, with tech and finance sectors typically offering higher compensation compared to other industries.

Steps to Increase Salary from This Position

To increase your salary from a Mid-level 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 an advanced degree, such as an MBA or a specialized master's in data science, can open up higher-level opportunities.
• Networking: Build a strong professional network within the industry. Networking can lead to new job opportunities and provide insights into salary trends.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects that demonstrate your leadership and strategic thinking.
• Negotiation: When discussing salary, be prepared to negotiate based on your contributions, market research, and the value you bring to the company.

Educational Requirements

Most Mid-level Data Product Manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, engineering, or business. A strong foundation in data analytics and understanding of AI/ML concepts is crucial. Some employers may prefer candidates with a master's degree, especially in competitive markets or for roles with a significant technical component.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Data Analytics Professional Certificate: Offers foundational knowledge in data analytics.
• AWS Certified Machine Learning – Specialty: Demonstrates your ability to design, implement, and maintain machine learning solutions on AWS.
• PMI Agile Certified Practitioner (PMI-ACP): Useful for managing projects in agile environments, which is common in tech companies.

Experience Requirements

Typically, a Mid-level Data Product Manager should have 3-5 years of experience in product management, data analysis, or a related field. Experience in managing data-driven projects, working with cross-functional teams, and a proven track record of delivering successful data products are often required. Familiarity with AI/ML technologies and methodologies is also essential.

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