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1 день назад

Chief Data Officer (AI)

240 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
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
Chief Data Officer (AI): Owning end-to-end data strategy and building scalable data platforms with an accent on data architecture, governance, analytics, and business impact. Focus on leading data science and engineering teams, integrating AI/ML into products and operations, and connecting data initiatives to measurable revenue and efficiency outcomes.

Location: United States, remote

Market compensation: around $240K median, with strong performers reaching $400K–$470K.

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

  • Own the end-to-end data strategy, including infrastructure, pipeline architecture, governance, quality, and analytics.
  • Lead and scale data science and engineering teams, set hiring standards, mentor senior individual contributors, and build a culture of experimentation and accountability.
  • Partner with C-suite and business leaders to identify data initiatives, prioritize investments, and communicate insights that influence business outcomes.
  • Drive data governance, security, and compliance frameworks that support growth without creating bottlenecks.
  • Integrate AI and ML capabilities into products and operations to enable automation and predictive decision-making.
  • Build the modern data platform, including cloud infrastructure, tooling, self-service analytics, metrics, KPIs, and dashboards.

Requirements

  • 10+ years of experience in data science, data engineering, or analytics, including 5+ years in leadership or staff-level roles building and scaling data functions.
  • Experience shipping production data systems such as pipelines, warehouses, data lakes, or real-time analytics platforms, and managing technical debt at scale.
  • Track record of translating data capabilities into measurable business value through cross-functional work with product, finance, and operations.
  • Strong foundation in SQL, statistics, and data architecture, with the ability to work through technical details while setting vision.
  • Experience with AWS, GCP, or Azure and modern data tooling; familiarity with ML engineering, MLOps, or AI integration is advantageous.
  • Excellent communication skills for explaining data concepts to technical and non-technical stakeholders and navigating organizational change.

Culture & Benefits

  • Permanent remote opportunities for candidates based in the United States.
  • Opportunities are sourced through hirify.global’s candidate network and may become available as relevant executive roles arise.
  • Roles span technology, financial services, professional services, and healthcare organizations.

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