Data Product Owner Salary in United States during 2024

Salary details

The average Data Product Owner salary lies between USD 101,000 and USD 156,000 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 Data Product Owner roles

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

Agile | 119 jobs Engineering | 82 jobs SQL | 65 jobs Scrum | 56 jobs Data quality | 55 jobs Data management | 54 jobs Computer Science | 53 jobs Data governance | 53 jobs Data analysis | 43 jobs Architecture | 40 jobs Machine Learning | 37 jobs Finance | 37 jobs Python | 36 jobs Security | 32 jobs Testing | 31 jobs Statistics | 29 jobs ETL | 28 jobs Data strategy | 28 jobs Jira | 27 jobs Data Analytics | 26 jobs

Top 20 Job Perks/Benefits for Data Product Owner roles

The three most common job benefits and perks assiciated with Data Product Owner 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 | 87 jobs Health care | 56 jobs Competitive pay | 47 jobs Flex hours | 41 jobs Salary bonus | 34 jobs Insurance | 33 jobs Team events | 31 jobs Startup environment | 28 jobs Equity / stock options | 27 jobs 401(k) matching | 20 jobs Flex vacation | 19 jobs Parental leave | 15 jobs Wellness | 14 jobs Transparency | 9 jobs Fitness / gym | 8 jobs Medical leave | 7 jobs Signing bonus | 5 jobs Home office stipend | 5 jobs Relocation support | 3 jobs Travel | 2 jobs

Salary Composition for a Data Product Owner

The salary for a Data Product Owner in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, making up about 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially adding another 5-10% to 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 markets. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing. Company size can also influence salary composition, with larger companies typically offering more comprehensive bonus structures and stock options.

Steps to Increase Salary

To increase your salary from the Data Product Owner 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 a master's degree or specialized certifications, can position you for higher-paying roles.
• Networking: Build a strong professional network. Engaging with industry peers can open up opportunities for higher-paying positions.
• Leadership Roles: Aim for leadership or managerial roles within your organization. These positions often come with higher salaries and additional responsibilities.
• Industry Transition: Consider moving to a higher-paying industry or a region with a higher cost of living, where salaries are typically higher.

Educational Requirements

Most Data Product Owner positions require at least a bachelor's degree in a relevant field such as computer science, data science, information technology, or business administration. However, a master's degree in data science, business analytics, or a related field can be advantageous and is often preferred by employers. A strong foundation in both technical and business aspects is crucial, as the role involves bridging the gap between data teams and business stakeholders.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:

• Certified Scrum Product Owner (CSPO): This certification is beneficial for understanding agile methodologies and product ownership.
• Certified Analytics Professional (CAP): This certification demonstrates expertise in analytics and data-driven decision-making.
• AWS Certified Data Analytics: Useful for those working with cloud-based data solutions.
• Google Professional Data Engineer: This certification is valuable for roles involving data engineering and cloud platforms.

Required Experience

Typically, a Data Product Owner role requires 3-5 years of experience in data-related fields, such as data analysis, data science, or product management. Experience in leading cross-functional teams and managing data-driven projects is highly valued. Familiarity with agile methodologies and experience in a product owner or product manager role can also be beneficial.

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