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1 день назад

Data Products & Solutions Manager

120 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
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 Products & Solutions Manager: Leading the development and delivery of internal and consumer-facing data solutions with an accent on platform capabilities, data governance, and stakeholder alignment. Focus on building scalable, self-service data products and managing a team of engineers to ensure reliable, well-modeled data delivery.

Location: Must be based in New York, NY

Salary: $120,000 - $170,000 yearly

Company

hirify.global is a leading media and entertainment company operating iconic brands across news, sports, and entertainment sectors.

What you will do

  • Lead the development of data products, datasets, and foundational dashboards for internal and downstream consumers.
  • Partner with Platform Development and Data Governance teams to ensure reliable, well-modeled, and observable data.
  • Manage intake and prioritization for data solutions, balancing immediate business needs with long-term scalability.
  • Enable self-service analytics by establishing reusable datasets, models, and access patterns.
  • Manage and mentor a small team of data and analytics engineers.
  • Ensure all solutions align with platform standards for governance, reliability, and performance.

Requirements

  • 5+ years of experience building data products, datasets, or analytics solutions in an enterprise environment.
  • Strong proficiency in SQL and experience using Python for data transformation and modeling.
  • Familiarity with modern data platform tooling, including Node.js/TypeScript services and Databricks.
  • Solid understanding of data modeling, transformation patterns, and BI tools like Tableau or Power BI.
  • Proven experience managing or mentoring engineering teams.
  • Must be able to attend an in-person interview in New York, NY.

Nice to have

  • Experience enabling self-service analytics at scale.
  • Familiarity with data contracts, governance, and lineage concepts.
  • Experience in media, streaming, or large-scale enterprise environments.
  • Exposure to modern data architectures like lakehouse or ELT pipelines.

Culture & Benefits

  • Comprehensive health insurance and retirement plans.
  • Paid time off and balanced work-life environment.
  • Opportunity to work in a fast-moving, high-ownership media environment.
  • Commitment to fair and equitable compensation practices.

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