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5 часов назад

Director, Data & AI Platform (AI)

187 000 - 230 000$
Формат работы
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

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TL;DR

Director, Data & AI Platform (AI): Leading the foundation of data infrastructure, semantic layers, and internal AI tooling to power insights and automation with an accent on AI-ready infrastructure and cross-functional engineering leadership. Focus on building scalable AI workspaces, managing multi-disciplinary teams, and translating technical platform decisions into measurable business outcomes.

Location: Based in Raleigh, NC (Hybrid: in-office 3 days per week)

Salary: $187,000 - $230,000 (NC) / $200,000 - $245,000 (NY)

Company

hirify.global is a fast-growing product company that provides tools for product managers to understand and drive product success.

What you will do

  • Lead organizational strategy and execution for the data and AI platform, establishing prioritization frameworks and delivery accountability.
  • Build and ship AI-ready infrastructure, including governed connectors, a skills library, and evaluation infrastructure.
  • Own hirify.global's internal AI platform, creating a workspace where employees can contribute and use AI skills and workflows.
  • Manage staffing and roadmap alignment across data engineering, analytics engineering, BI, and software engineering.
  • Partner with Applied AI, IT, and GTM Operations to build technical foundations ahead of business requirements.
  • Translate technical decisions into business impact and measurable outcomes for leadership.

Requirements

  • Must be based in Raleigh, NC to support the hybrid in-office model.
  • 8+ years in data or engineering roles with demonstrated people leadership experience.
  • Strong command of data architecture, BI platforms, and modern data stacks.
  • Experience building internal platforms with an emphasis on governance and operational trust.
  • Ability to lead across blended disciplines: data, analytics, and software engineering.
  • Track record of owning company-critical metrics and semantic layers.

Nice to have

  • Hands-on experience with dbt, Fivetran, or BigQuery.
  • Familiarity with AI observability and evaluation tools like LangSmith or Gemini ADK.
  • Experience with BI platforms featuring a semantic layer (e.g., Omni).
  • Prior use of Claude Enterprise in an enterprise context.

Culture & Benefits

  • Employer-heavy health coverage, including $0 premium options.
  • Strong 401(k) match and equity.
  • Flexible time off.
  • Hybrid work culture with a focus on collaboration (3 days in-office).

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