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

Salary details

The average senior-level / expert Data Product Manager salary lies between USD 141,158 and USD 200,000 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

Salary trend

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

The three most common job tag items assiciated with senior-level / expert 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 | 83 jobs SQL | 73 jobs Agile | 65 jobs Machine Learning | 49 jobs Architecture | 37 jobs Python | 36 jobs Data governance | 33 jobs Research | 30 jobs Data management | 30 jobs Computer Science | 30 jobs Privacy | 30 jobs Data Analytics | 28 jobs Data analysis | 28 jobs Data quality | 26 jobs Finance | 25 jobs Tableau | 24 jobs Snowflake | 24 jobs Excel | 24 jobs R | 22 jobs ETL | 22 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Product Manager job listings are Career development, Health care and Flex hours. 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 | 89 jobs Health care | 62 jobs Flex hours | 44 jobs Competitive pay | 44 jobs Equity / stock options | 41 jobs Startup environment | 41 jobs Team events | 37 jobs Salary bonus | 36 jobs Insurance | 31 jobs Flex vacation | 28 jobs Parental leave | 22 jobs Medical leave | 22 jobs 401(k) matching | 19 jobs Home office stipend | 13 jobs Wellness | 12 jobs Transparency | 8 jobs Flexible spending account | 8 jobs Gear | 7 jobs Relocation support | 5 jobs Snacks / Drinks | 5 jobs

Salary Composition for Senior-level Data Product Managers

The salary for a Senior-level or Expert Data Product Manager in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20% of the total salary. Additional remuneration may include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options, while smaller companies might offer more flexible work arrangements or other perks to compensate for lower base salaries.

Steps to Increase Salary Further

To increase your salary beyond the median of USD 170,000, consider the following strategies:

• Specialize in High-Demand Areas: Focus on emerging technologies or niche areas within AI/ML that are in high demand but have a limited talent pool.
• Pursue Leadership Roles: Transition into roles with greater responsibility, such as Head of Product or Chief Product Officer, which typically offer higher compensation.
• Negotiate Effectively: Develop strong negotiation skills to maximize your salary and benefits during job offers or performance reviews.
• Expand Your Network: Engage with industry leaders and participate in conferences to increase your visibility and access to higher-paying opportunities.
• Continuous Learning: Stay updated with the latest trends and technologies in AI/ML to maintain your competitive edge.

Educational Requirements

Most Senior-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 Administration. However, a master's degree or an MBA can be highly advantageous, especially if it includes a focus on data analytics, machine learning, or product management. Advanced degrees can provide a deeper understanding of technical concepts and strategic business management, which are crucial for this role.

Helpful Certifications

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

• Certified Scrum Product Owner (CSPO): Demonstrates expertise in agile methodologies and product ownership.
• Project Management Professional (PMP): Validates your project management skills, which are essential for managing complex data products.
• AWS Certified Machine Learning – Specialty: Shows proficiency in deploying machine learning models on the AWS platform.
• Google Cloud Professional Data Engineer: Highlights your ability to design and manage data processing systems on Google Cloud.

Required Experience

Typically, a Senior-level Data Product Manager should have 7-10 years of experience in product management, with a significant portion of that time spent in data-driven environments. Experience in leading cross-functional teams, managing product lifecycles, and delivering successful data products is crucial. Additionally, hands-on experience with data analytics, machine learning, and AI technologies is often required to effectively bridge the gap between technical teams and business stakeholders.

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