Salary for Mid-level / Intermediate Data Product Owner during 2024

Salary details

The average mid-level / intermediate Data Product Owner salary lies between USD 97,000 and USD 143,000 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 Mid-level / Intermediate Data Product Owner roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 31 jobs Engineering | 20 jobs SQL | 16 jobs Jira | 14 jobs Computer Science | 14 jobs Scrum | 12 jobs Architecture | 11 jobs Excel | 11 jobs ETL | 8 jobs Power BI | 8 jobs Data analysis | 8 jobs Data quality | 8 jobs Banking | 7 jobs Finance | 7 jobs CX | 7 jobs Testing | 7 jobs Statistics | 7 jobs Data management | 7 jobs Privacy | 7 jobs Machine Learning | 6 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Product Owner job listings are Career development, Competitive pay and Health care. 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 | 18 jobs Competitive pay | 12 jobs Health care | 11 jobs Flex hours | 10 jobs Startup environment | 8 jobs Team events | 7 jobs Insurance | 4 jobs Salary bonus | 4 jobs Flex vacation | 2 jobs 401(k) matching | 1 jobs Equity / stock options | 1 jobs Parental leave | 1 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Conferences | 1 jobs Yoga | 1 jobs Medical leave | 1 jobs

Salary Composition for a Mid-level Data Product Owner

The salary for a Mid-level Data Product Owner typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses are often tied to individual and company performance, with tech companies sometimes offering more substantial bonuses. In larger companies, stock options or equity might be a significant part of the compensation package, whereas smaller companies might offer more flexible benefits or perks to attract talent.

Steps to Increase Salary from This Position

To increase your salary from a Mid-level Data Product Owner position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Networking: Build a strong professional network. Engaging with industry leaders and attending conferences can open up higher-paying opportunities.
• Performance Excellence: Consistently exceed performance expectations. Demonstrating your impact on the company's bottom line can justify a salary increase.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Negotiation: Be prepared to negotiate your salary during performance reviews or when offered a new position.

Educational Requirements

Most Mid-level Data Product Owner positions require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Business Administration, or a related discipline. Some employers may prefer candidates with a master's degree, especially in more technical or data-driven roles. A strong foundation in both technical and business aspects is crucial, as the role involves bridging the gap between data teams and business objectives.

Helpful Certifications

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

• Certified Scrum Product Owner (CSPO): Useful for understanding agile methodologies and product ownership.
• Data Science Certifications: Such as those offered by Coursera, edX, or specific platforms like IBM or Google.
• Project Management Professional (PMP): Beneficial for managing projects effectively.
• AWS Certified Data Analytics: If working with cloud-based data solutions, this certification can be advantageous.

Experience Requirements

Typically, a Mid-level Data Product Owner should have 3-5 years of experience in data-related roles. This experience should include working with data teams, understanding data products, and having a track record of successful project delivery. Experience in product management, business analysis, or a related field is also valuable, as it demonstrates the ability to manage product lifecycles and stakeholder expectations.

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