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8 дней назад

Data Product Lead, External Data

157 500 - 259 900$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead/director
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 Lead, External Data (Data Engineering/AI): Leading the development of analytic data products and data solutions that capture, transform, and provide enterprise access to external data with an accent on artificial intelligence, machine learning, and business intelligence. Focus on operationalizing secure and scalable data capabilities, shaping architecture and infrastructure strategies, and developing data engineering teams.

Location: Hybrid in Hartford, CT; other locations include Alpharetta, GA and St. Paul, MN, United States

Annual base salary: $157,500–$259,900

Company

hirify.global is a property casualty insurer with a long-standing focus on innovation, collaboration, customers, communities, and employees.

What you will do

  • Lead the development of analytic data products, including pilots and proof of concepts.
  • Execute data strategies for varied consumption patterns and identify enterprise architecture, platform, and application infrastructure needs.
  • Operationalize and automate capabilities to deliver secure, supported, and scalable solutions.
  • Present analysis and recommendations to influence management and executive leadership decisions.
  • Mentor and coach senior team members and support their career development.
  • Establish budgets, policies, and practices with significant operational impact.

Requirements

  • Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience.
  • At least 7 additional years of data engineering experience; the broader profile specifies eight or more years of related work experience.
  • At least 2 years of technical leadership experience; the broader profile specifies four or more years of team leadership experience.
  • Experience partnering with data science teams on analytical and modeling initiatives.
  • Hands-on experience building and maintaining data pipelines and infrastructure.
  • Progression from individual contributor engineering roles into team leadership.
  • Experience evaluating data sources and consolidating data assets into centralized, accessible platforms.
  • Ability to assess technical work quality and scope, explain its business value, and represent it effectively to stakeholders and leadership.

Culture & Benefits

  • Hybrid workplace with full-time employment.
  • Health insurance for employees and eligible family members from the first day of employment.
  • Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, a student-loan savings program, and a fully funded pension plan.
  • At least 20 days of annual paid time off plus nine paid company holidays.
  • Wellness, mental health, caregiving, volunteer, and charitable matching programs.

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