Назад
Company hidden
5 дней назад

Director, Analytics Engineering (AI)

202 500 - 268 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US/Mexico/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Director, Analytics Engineering (AI): Building and scaling an Analytics Engineering organization and trusted data foundations for an AI-native Scribd, with an accent on governed canonical models, semantic layers, data quality, observability, and technical leadership. Focus on developing high-performing teams, guiding architecture and governance decisions, and turning data and AI investments into reliable production systems and measurable business impact.

Location: Hybrid work with occasional in-person attendance required. Primary residence must be in or near an approved city in the United States, Canada, or Mexico.

Salary: $202,500–$268,000 annually in California; $191,500–$254,000 annually in the United States outside California; CAD 177,000–235,000 annually in Canada. The position is also eligible for equity and benefits.

Company

hirify.global advances human understanding through hirify.global, Slideshare, Everand, and Fable.

What you will do

  • Build, scale, and lead a high-performing Analytics Engineering team.
  • Establish an operating model, team culture, career pathways, and distributed ownership.
  • Guide technical decisions across data modeling, architecture, governance, quality, tooling, and developer experience.
  • Build canonical datasets, shared metrics, semantic layers, and trusted production-quality data foundations.
  • Lead cross-functional data initiatives from strategy through production adoption and measurable business impact.
  • Apply AI-assisted development, analysis, agents, and automated workflows where they create clear value.

Requirements

  • 10+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related discipline.
  • 5+ years leading and developing technical teams.
  • Experience building and scaling high-performing teams and turning individual contributors into cohesive strategic partners.
  • Deep experience with governed canonical data models, semantic layers, data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation systems.
  • Advanced SQL and production experience with modern data platforms such as AWS, Databricks, Airbyte, Fivetran, or Looker.
  • Excellent communication with technical teams, business stakeholders, and senior executives.

Nice to have

  • Advanced Python.
  • Experience with data cleanup, role-based access controls, and data retention policies.
  • Experience building canonical data models and semantic layers for financial analysis.
  • Experience leading on-call rotations, incident response, production issue resolution, and reliability improvements.

Culture & Benefits

  • Flexible work model balanced with intentional in-person collaboration.
  • Health, dental, vision, mental health, and disability coverage.
  • Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
  • Paid parental leave, family support, retirement matching, and employee equity.
  • Learning and development programs, wellness and home office stipends, and access to AI tools.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →