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3 часа назад

Data Product Manager

187 000 - 197 000$
Формат работы
hybrid
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
Data Product Manager (Data Analytics): Creating and managing data product roadmaps, translating business requirements into scalable data solutions, and delivering curated datasets through an enterprise data and analytics platform with an accent on stakeholder collaboration, data governance, and product adoption. Focus on prioritizing Agile backlogs, partnering with data engineering and analytics teams, defining KPIs, and using SQL and Python for data analysis and validation.

Location: Plymouth, Minnesota, United States; hybrid schedule with remote work permitted 2 days per week

Salary: $187,000–$197,000 per year

Company

hirify.global is part of a major HVAC organization developing and delivering heating, ventilation, and air-conditioning products and solutions.

What you will do

  • Define and manage data product roadmaps, backlogs, product increments, epics, narratives, and delivery timelines.
  • Elicit requirements, identify business pain points, and develop data-driven solutions with stakeholders.
  • Work with digital leaders to ingest, curate, and deliver data through the enterprise data and analytics platform.
  • Collaborate with data engineers, analysts, developers, UX teams, and business stakeholders to translate requirements into scalable data solutions.
  • Establish KPIs to measure product adoption, business impact, continuous improvement, and value creation.
  • Promote data-driven decision-making and a data-centric culture across business units.

Requirements

  • Bachelor's degree in Data Science, Data Analytics, or a related quantitative engineering field.
  • Seven years of experience as a Data Product Manager, Data Scientist, Product Manager, or in a related data and analytics product management role.
  • Experience creating data and analytics product roadmaps using Agile methodologies, including epics, features, and backlog prioritization.
  • Experience working with data engineering and analytics teams on scalable data models and pipelines.
  • Experience with enterprise data platforms, data governance, data quality, and regulatory requirements affecting data use.
  • Experience using SQL, Python, and Azure DevOps for data analysis, validation, aggregation, and Agile delivery.

Culture & Benefits

  • Hybrid work arrangement with up to two remote days per week.
  • Supportive environment with opportunities for professional growth.
  • Employment is subject to verification of employment history and education, background screening, and legally permitted drug testing.

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