7PARK DATA Product Manager, Data Products Salary in the United States
How much does an Product Manager, Data Products make at companies like 7PARK DATA in the United States? The average salary for Product Manager, Data Products at companies like 7PARK DATA in the United States is $165,132 as of March 26, 2024, but the range typically falls between $146,370 and $183,894. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target. View the Cost of Living in Major Cities2
About 7PARK DATA
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What does an Product Manager, Data Products do at companies like 7PARK DATA?
The Product Manager, Data Products will be joining an entrepreneurial and fast-paced Product Team that is committed to building world-class data products. The Product Manager, Data Products will be responsible for managing the process to develop and maintain commercially successful data products, and thus will have an outsized impact on the success of 7Park Data and our mission to revolutionize corporate decision-making.
7Park is a leading alternative data provider with a differentiated NLP Platform. Our technologies and insights power the business processes of financial service institutions, corporations and professional service organizations. 7Park Data is part of the Vista Equity Partners portfolio family.
The compensation package includes a competitive salary and incentive structure, generous benefits, and valuable business experiences, challenges, and excitement of contributing to the success of a fast-growing technology startup company.
Ideal candidates are those who are excited by big data, enjoy using new technologies, have demonstrated a high degree of ownership and enjoy working in ambitious and diverse teams.
This position reports to the Director of Product, Platform and Corporate Data Products.
Responsibilities:
- Bring new data products to market by
- Articulating the product vision and how it meets customer needs
- Developing the roadmap and defining milestones
- Creating and maintaining detailed project plans and trackers
- Ensuring appropriate resourcing for on-time delivery
- Owning execution
- Run sprints and daily scrums with your respective teams
- Translate the business problem into actionable deliverables for your team members from Engineering, Data Science and Research
- Manage multiple products and projects in parallel
- Communicate schedules, priorities, and status to all levels in the company
- Identify and implement tool and process best practices that enhance the quality and speed of our output
- Gather and leverage stakeholder feedback to improve our data products
- Educate customer facing teams on new product features, and how the features can solve clients’ business problems
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