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4 дня назад

Director, Data & Analytics (AI)

Формат работы
onsite
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
Director, Data & Analytics (AI): Leading enterprise data engineering and analytics strategy, including a modern product data platform, ingestion architecture, data contracts, and organization-wide governance with an accent on strategic leadership, production engineering, and scalable cloud data delivery. Focus on designing configuration-driven pipelines, managing platform cost and capacity, setting AI-assisted engineering standards, and developing a distributed data engineering team.

Location: Salem, Oregon, United States; regular in-person attendance at the hirify.global office during regular work hours is required.

Company

hirify.global is a Fortune 500 homebuilder focused on building quality homes, serving homeowners and communities, and supporting associate growth.

What you will do

  • Lead and develop a data engineering, analytics, and data science team while setting strategic direction for enterprise data and analytics.
  • Own the Product Organization data platform strategy, including ingestion architecture, warehouse relationships, data contracts, schema evolution, and recovery procedures.
  • Oversee ingestion, transformation, and delivery of product data to applications and reporting surfaces.
  • Write and review production code, guide configuration-driven pipeline architecture, and contribute to delivery alongside the team.
  • Manage data platform cost and capacity planning, including compute tiering and warehouse spend, in partnership with hirify.global Technology Group.
  • Represent data needs with Data@hirify.global, hirify.global Technology Group, and Palantir Foundry stakeholders; define governance and AI-assisted engineering standards.

Requirements

  • Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, or a related field; a master’s degree or advanced qualification is preferred.
  • 10+ years of experience in data analytics, data science, or a related field, including 5+ years in senior leadership.
  • Advanced proficiency in Python, SQL, data analytics tools, data management platforms, and cloud infrastructure.
  • Experience owning a modern cloud data platform, delivering automated multi-environment data workloads, and using configuration-driven pipelines.
  • Experience with data governance, data contracts, schema evolution, production code review, cost management, and AI-assisted engineering standards.
  • Experience leading distributed teams across multiple time zones and communicating complex data insights to senior executives.

Nice to have

  • Experience with Palantir Foundry as a source system.
  • Advanced certifications such as CAP or PMP.

Culture & Benefits

  • Supportive environment focused on professional growth, continuous learning, and collaborative innovation.
  • Medical, dental, and vision insurance, plus a 401(k) plan with a company match of up to 5%.
  • Paid parental leave, sick leave, personal days, holidays, and up to three weeks of vacation from the first year.
  • Education assistance, adoption assistance of up to $30,000, associate assistance resources, and home purchase discounts.
  • Occasional travel may be required for regular job duties.

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