Data Product Owner Salary in 2024

Salary details

The average Data Product Owner salary lies between USD 100,000 and USD 156,000 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

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 | 94 jobs Engineering | 68 jobs SQL | 56 jobs Scrum | 48 jobs Computer Science | 44 jobs Data management | 42 jobs Data quality | 41 jobs Data governance | 40 jobs Architecture | 37 jobs Data analysis | 35 jobs Machine Learning | 32 jobs Python | 31 jobs Finance | 28 jobs Testing | 28 jobs Statistics | 28 jobs Security | 27 jobs ETL | 25 jobs Excel | 25 jobs Jira | 25 jobs Data Analytics | 24 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 | 71 jobs Health care | 45 jobs Competitive pay | 41 jobs Flex hours | 36 jobs Salary bonus | 28 jobs Team events | 24 jobs Insurance | 24 jobs Startup environment | 23 jobs Equity / stock options | 21 jobs 401(k) matching | 16 jobs Flex vacation | 14 jobs Parental leave | 13 jobs Wellness | 12 jobs Fitness / gym | 7 jobs Medical leave | 7 jobs Transparency | 4 jobs Signing bonus | 4 jobs Relocation support | 3 jobs Travel | 2 jobs Home office stipend | 2 jobs

Salary Composition for a Data Product Owner

The salary composition for a Data Product Owner can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed portion of your salary and usually constitutes the largest part of your total compensation. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary might be higher to compensate for living expenses.

• Performance-Based Bonus: Bonuses are often tied to individual performance, team performance, or company-wide success. In tech companies, bonuses can range from 10% to 20% of the base salary, while in smaller startups, they might be less predictable.

• Additional Remuneration: This can include stock options, especially in tech startups, which can be a significant part of the compensation package. Other benefits might include health insurance, retirement contributions, and professional development allowances.

Steps to Increase Salary from a Data Product Owner Position

To increase your salary from a 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.

• Leadership Roles: Aim for leadership positions such as Senior Data Product Owner or Head of Product. These roles typically come with higher compensation.

• Industry Transition: Consider moving to industries that pay higher salaries for data roles, such as finance or healthcare.

• Networking and Visibility: Build a strong professional network and increase your visibility in the industry through speaking engagements, publications, or contributions to open-source projects.

Educational Requirements for a Data Product Owner

Most Data Product Owner 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.

Helpful Certifications for a Data Product Owner

While not always mandatory, certain certifications can enhance your credibility and skill set:

• Certified Scrum Product Owner (CSPO): This certification is valuable for understanding agile methodologies and product management.

• Data Science Certifications: Certifications from platforms like Coursera, edX, or DataCamp in data science or machine learning can be beneficial.

• Project Management Professional (PMP): This certification can be useful if your role involves significant project management responsibilities.

Experience Required for a Data Product Owner

Typically, a Data Product Owner is expected to have several years of experience in product management, data analysis, or a related field. Experience in leading cross-functional teams and managing product lifecycles is often required. Familiarity with AI/ML projects and a track record of successful product launches can be particularly advantageous.

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