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9 дней назад

Sr. Product Manager I (Data Management)

129 200 - 174 173$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Product Manager I (Data Management): Designing and scaling a cloud-native, multi-tenant investment data management platform that ingests data from more than 1,200 sources and creates a golden source of truth with an accent on data quality, governance, automation, and resilience. Focus on defining product requirements, prioritizing cross-product capabilities, leading roadmaps across scrum teams, and delivering data management features for asset management clients.

Location: Office - Chicago, United States

Salary: $129,200.00–$174,173.00 per year

Company

hirify.global provides a cloud-native, single-instance, multi-tenant investment data management platform that ingests data from more than 1,200 sources.

What you will do

  • Own product requirements, planning, development, production delivery, and client implementation for the core investment data management platform.
  • Lead 1–2 scrum teams comprising 9–11 engineers.
  • Build short-, medium-, and long-term roadmaps for a scalable, automated, and resilient data platform.
  • Prioritize product decisions using data-driven justification and align multiple development teams.
  • Define release briefs covering client problems, target personas, value, priorities, and high-level solutions.
  • Collaborate with clients, prospects, stakeholders, and development teams to identify, test, launch, and promote new capabilities.

Requirements

  • 7+ years of product management experience owning products throughout their lifecycle in a B2B enterprise SaaS environment.
  • Strong investment management and capital markets knowledge, including security reference, trade, analytics, pricing, accounting, performance, risk, custody, equity, fixed income, and derivatives data.
  • At least 5 years of experience with structured financial data management platforms, including master data management, ETL/ELT, data warehousing, or data lakehouses.
  • Experience managing data pipeline and data management roadmaps covering data quality, governance, and information delivery.
  • Experience with cloud platforms such as AWS, Azure, or GCP and SQL databases.
  • Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent hands-on technical experience.

Nice to have

  • Experience in asset management or insurance.
  • CFA or FRM qualification.
  • Experience with AI, machine learning, or LLM-based projects.
  • Experience working with portfolio managers, traders, or researchers.
  • Knowledge of private assets.

Culture & Benefits

  • Full-time office-based role in Chicago.
  • Health, vision, and dental insurance.
  • 401(k), paid time off, parental leave, and medical leave.
  • Short-term and long-term disability insurance benefits.

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