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15 часов назад

Data Product Manager (Fintech)

120 000 - 145 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Product Manager (Enterprise Data Platform): Leading the development of scalable data products and services to drive data-driven decision-making with an accent on data accessibility, governance, and quality. Focus on managing the end-to-end product lifecycle, optimizing delivery flows, and designing reliable data foundations.

Location: Onsite in Seattle, Washington, United States

Salary: $120,000–$145,000 per year

Company

hirify.global, a Morningstar company, is a leading provider of comprehensive financial data and analytics for the private markets.

What you will do

  • Own the data product roadmap, aligning priorities with business goals and enterprise data strategy.
  • Partner with data engineering on data modeling, pipeline design, and scalable architecture decisions.
  • Maintain a prioritized product backlog with clearly defined epics and stories using Agile delivery practices.
  • Lead discovery efforts through stakeholder engagement and usage analysis to identify high-value opportunities.
  • Champion data governance standards, including data quality, lineage, cataloging, and access management.
  • Define and monitor adoption, data quality, and business impact metrics using KPIs and OKRs.

Requirements

  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future.
  • Must be able to work in the office 5 days a week in Seattle.
  • 2+ years of experience in data product management, analytics, or data engineering.
  • Proven experience delivering data products end-to-end and measuring success through KPIs and OKRs.
  • Data literacy including working knowledge of SQL, data modeling, data pipelines, and BI tools.
  • Bachelor’s degree in Computer Science, Information Systems, Business, Analytics, or a related field.

Nice to have

  • Familiarity with data governance, metadata management, and data accessibility best practices.
  • Strong understanding of Agile product delivery and backlog management in technical environments.
  • Experience partnering cross-functionally with data engineering and business stakeholders.

Culture & Benefits

  • Comprehensive health benefits and medical wellness incentives.
  • Financial security via 401k match and a shared ownership employee stock program.
  • Paid sabbatical program after four years and generous vacation, sick, and volunteer days.
  • Professional growth through an annual educational stipend and CFA exam stipend.
  • Family support including paid family and paternity leave and subsidized emergency childcare.

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