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

Salary details

The average mid-level / intermediate Data Product Manager salary lies between USD 112,000 and USD 170,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Product Manager roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 97 jobs SQL | 76 jobs Agile | 66 jobs Data analysis | 51 jobs Computer Science | 48 jobs Research | 43 jobs Python | 37 jobs Tableau | 37 jobs Security | 35 jobs Machine Learning | 33 jobs Data Analytics | 32 jobs Data quality | 32 jobs Architecture | 30 jobs Testing | 29 jobs Data visualization | 29 jobs Data governance | 28 jobs ETL | 27 jobs Jira | 25 jobs Data management | 25 jobs Power BI | 24 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Product Manager 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 | 94 jobs Health care | 57 jobs Competitive pay | 45 jobs Startup environment | 37 jobs Equity / stock options | 32 jobs Salary bonus | 31 jobs Flex hours | 28 jobs Team events | 25 jobs Insurance | 25 jobs Flex vacation | 21 jobs Wellness | 15 jobs Medical leave | 15 jobs Parental leave | 13 jobs 401(k) matching | 12 jobs Conferences | 7 jobs Travel | 6 jobs Transparency | 6 jobs Home office stipend | 6 jobs Fitness / gym | 5 jobs Flexible spending account | 4 jobs

Salary Composition for a Mid-level Data Product Manager

The salary for a Mid-level Data Product Manager typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Performance bonuses can vary significantly, often between 10% to 20%, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 10% to 20%.

Regional differences play a significant role; for instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for talent. Industry also impacts salary composition, with tech companies often offering more in stock options, while traditional industries might focus more on cash bonuses. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and stock options.

Steps to Increase Salary from This Position

To increase your salary from a Mid-level Data Product Manager 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.
• Networking: Build a strong professional network. Engaging with industry leaders and peers can open up new opportunities and provide insights into salary trends.
• Advanced Education: Pursue further education, such as an MBA or specialized courses in data science, to enhance your qualifications.
• Leadership Roles: Aim for leadership roles within your organization or in new opportunities. Transitioning to a Senior Product Manager or Director role can significantly increase your salary.
• Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most Mid-level Data Product Manager positions require a bachelor's degree in a relevant field such as Computer Science, Data Science, Engineering, or Business. A strong foundation in mathematics and statistics is often essential. Many employers prefer candidates with a master's degree, especially in data science, business administration, or a related field, as it demonstrates a deeper understanding of both technical and managerial aspects.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

• Certified Analytics Professional (CAP)
• Google Data Analytics Professional Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• PMI Agile Certified Practitioner (PMI-ACP)

These certifications can provide a competitive edge by validating your skills and knowledge in data analytics, machine learning, and agile project management.

Required Experience

Typically, a Mid-level Data Product Manager is expected to have 3 to 5 years of experience in product management, data analysis, or a related field. Experience in managing data-driven projects, working with cross-functional teams, and a proven track record of delivering successful data products are crucial. Familiarity with AI/ML concepts and tools, as well as experience in agile methodologies, is often required.

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