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3 дня назад

Executive Director of Data Engineering (AI)

155 000 - 390 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK/Singapore/US +3 еще
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
Executive Director of Data Engineering (AI): Leading scalable AI and data infrastructure, global data standards, and engineering modernization across creative, CX/site, CRM, audience, and media domains with an accent on MLOps, governance, automation, and responsible AI. Focus on designing reliable data platforms, integrating AI from pipelines through model monitoring, and building a high-performing distributed engineering organization.

Location: Detroit, Michigan, United States; hybrid schedule with office attendance an average of four days per week.

Base salary: $155,000–$390,000 USD annually.

Company

hirify.global is a global creative company within WPP, combining brand experience, customer experience, commerce, data, and marketing intelligence across more than 55 markets.

What you will do

  • Lead the architecture, infrastructure, and engineering standards supporting predictive, prescriptive, and generative AI use cases.
  • Modernize AI and data engineering through AI-assisted development, reusable components, automation, and new technology evaluation.
  • Establish global data taxonomies, architecture, quality, lineage, metadata, documentation, governance, privacy, and security standards.
  • Advance MLOps, DataOps, DevOps, CI/CD, and reliable deployment of data products and models.
  • Build and lead a high-performing, globally distributed engineering organization focused on technical excellence, velocity, and reliability.
  • Partner with product, analytics, and agency teams across creative, CX/site, CRM, audience, and media data domains.

Requirements

  • 20+ years of experience in data engineering, data architecture, or platform engineering.
  • Experience leading global or distributed engineering teams at a senior level.
  • Deep expertise in modern data infrastructure, cloud platforms, AI/ML engineering, scalable pipelines, and platform design.
  • Proven success creating data taxonomies, standards, and governance frameworks across complex, multi-domain environments.
  • Experience with automation, agile delivery, AI-assisted development, MLOps, DataOps, responsible AI, and data governance.
  • Executive-level leadership, communication, and stakeholder-management skills; marketing and media data experience is expected, ideally in automotive, industry, or agency contexts.

Culture & Benefits

  • Hybrid working model designed to support creativity, collaboration, and connection.
  • Competitive benefits package provided through WPP.
  • Equal opportunity workplace committed to respect, inclusion, and equal career opportunities.
  • Accommodations or additional flexibility can be discussed during the interview process.

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