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4 дня назад

Associate Director, Data Engineering (AI)

19 200 - 269 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
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
Associate Director, Data Engineering (AI): Building and operating the data foundation for healthcare AI products, connecting ingestion, transformation, governance, analytics, and delivery with an accent on reliable pipelines, governed datasets, and actionable insights. Focus on designing AI data platforms, supporting machine learning workflows, developing dashboards, and solving data quality and operational reliability challenges.

Location: Seattle, Washington preferred; remote and hybrid work options available. Occasional travel to company-sponsored events is expected 1–3 times per year.

Salary: $192,00–$269,000 per year, plus bonus eligibility.

Company

hirify.global develops evidence-based healthcare guidelines and AI-enabled products that support patient-focused care and improve clinical documentation workflows.

What you will do

  • Partner with Product Managers, customers, Software Engineers, and Data Scientists to translate needs into end-to-end data and insights solutions.
  • Grow and operate the data platform supporting AI products, including ingestion, transformation, governance, and delivery.
  • Develop governed, high-quality datasets for building, evaluating, and improving AI products.
  • Analyze data to identify patterns, opportunities, and customer-relevant insights for product decisions and the AI roadmap.
  • Create and maintain dashboards that communicate performance and support data-informed decisions.
  • Improve the reliability, repeatability, quality, and usability of data pipelines and platform capabilities.

Requirements

  • 10+ years of experience in data engineering, data science, or a related field.
  • Experience building, maintaining, or scaling data platforms for AI or machine learning products.
  • Strong data operations and software engineering skills, including production-ready data workflows and pipelines.
  • Understanding of the machine learning lifecycle and the role of dependable data in model development and product improvement.
  • Experience with governed data lakes, data quality, organization, and access management.
  • Strong written communication and collaboration skills, with the ability to explain data concepts to varied audiences.

Nice to have

  • Experience with deep learning, natural language processing, or applied AI methods.
  • Experience working with healthcare or clinical data.

Culture & Benefits

  • Mission-driven work focused on improving healthcare and patient outcomes.
  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan, flexible spending account, and health savings account.
  • 15 days of paid time off, additional personal days, company holidays, and paid volunteer days.
  • Paid parental and bonding leave, LGBTQ+ health services, and pet insurance.
  • AI tools may be used to record and transcribe interviews for internal note-taking; candidates may request an alternative.

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