Salary for Senior-level / Expert Data Product Owner in United States during 2024

Salary details

The average senior-level / expert Data Product Owner salary lies between USD 110,000 and USD 131,000 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: Nov. 24, 2024

Top 20 Job Tags for Senior-level / Expert Data Product Owner roles

The three most common job tag items assiciated with senior-level / expert Data Product Owner job listings are Agile, Engineering and Data management. 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 | 33 jobs Engineering | 26 jobs Data management | 23 jobs Scrum | 17 jobs Data quality | 17 jobs SQL | 16 jobs Computer Science | 16 jobs Data analysis | 14 jobs Python | 13 jobs Finance | 13 jobs Data strategy | 12 jobs Machine Learning | 11 jobs Data Analytics | 11 jobs Data governance | 11 jobs Testing | 9 jobs Statistics | 9 jobs Research | 8 jobs Security | 8 jobs Architecture | 8 jobs Data visualization | 8 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Product Owner roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 25 jobs Health care | 16 jobs Competitive pay | 16 jobs Flex hours | 13 jobs Salary bonus | 12 jobs 401(k) matching | 10 jobs Equity / stock options | 10 jobs Startup environment | 9 jobs Team events | 9 jobs Flex vacation | 8 jobs Wellness | 8 jobs Insurance | 8 jobs Parental leave | 5 jobs Transparency | 2 jobs Relocation support | 2 jobs Medical leave | 2 jobs Home office stipend | 2 jobs

Salary Composition for a Senior Data Product Owner

The salary for a Senior 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 often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 15% of the total package.

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 from This Position

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Leadership Roles: Seek opportunities to lead larger teams or projects. Demonstrating leadership capabilities can position you for higher-paying roles.
• Networking: Build a strong professional network. Engaging with industry leaders and attending conferences can open doors to higher-paying opportunities.
• Advanced Education: Pursue further education, such as an MBA or a specialized master's degree in data science or AI, to enhance your qualifications.
• Negotiation: Don’t hesitate to negotiate your salary during performance reviews or when offered a new position. Research industry standards to make informed requests.

Educational Requirements

Most Senior Data Product Owner positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or business administration. However, a master's degree is often preferred, especially in data science, business analytics, or a related field. An MBA can also be advantageous, particularly for roles that emphasize product management and business strategy.

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.
• Project Management Professional (PMP): Beneficial for managing complex projects and teams.
• AWS Certified Data Analytics: Demonstrates proficiency in data analytics on the AWS platform.
• Google Professional Data Engineer: Validates your ability to design and manage data solutions on Google Cloud.

Experience Requirements

Typically, a Senior Data Product Owner is expected to have 7-10 years of experience in data science, product management, or a related field. This experience should include a proven track record of managing data-driven products, leading cross-functional teams, and delivering successful projects. Experience in agile environments and familiarity with AI/ML technologies are often crucial.

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