Data Product Manager (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
, 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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