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4 часа назад

Director, Analytics Engineering (AI)

249 500 - 355 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Director, Analytics Engineering (AI): Building Webflow’s enterprise data architecture, semantic layer, and analytics engineering capabilities with an accent on scalable data models, governance, data quality, and AI-native systems design. Focus on leading analytics engineering teams, defining trusted metrics, and developing reliable foundations for self-serve analytics and conversational data access.

Location: Remote-first in the United States

Salary: $249,500–$355,000 base salary annually, depending on geographic pay zone, plus eligibility for a company-wide bonus program.

Company

hirify.global is an agentic web marketing platform that helps modern marketing teams build, manage, and optimize high-performing web experiences.

What you will do

  • Define and own the long-term vision for enterprise data architecture, including data models, integration patterns, governance, and AI-native systems design.
  • Lead, mentor, and grow an analytics engineering team building scalable, reliable, and well-documented data foundations.
  • Design and operationalize a unified semantic layer with canonical datasets, modeling standards, lineage, query documentation, and business context.
  • Establish standards for data modeling, metadata management, data governance, data quality, lineage, and access control.
  • Build skills repositories and validation frameworks for analytics agents to support accurate, reliable data-informed decisions.
  • Partner with analytics teams and cross-functional stakeholders to define trusted metrics, improve data usability, and support decision-making.

Requirements

  • 10+ years of hands-on experience in data and analytics engineering.
  • Deep experience building and maintaining scalable data models and infrastructure in modern data stack environments.
  • Proficiency with SQL, Python, data modeling, ETL/ELT, dbt, Snowflake, and Tableau.
  • Track record of implementing data models, testing frameworks, dashboards, and documentation standards that enable trust and reusability.
  • Strategic leadership experience managing and developing high-performing analytics engineering teams.
  • Valid United States work authorization is required.

Culture & Benefits

  • Collaborative, results-oriented environment focused on customer trust, shared ownership, reinvention, and accountability.
  • Equity in the form of RSUs for permanent employees.
  • Medical, dental, and vision coverage with most premiums covered for full-time employees and dependents.
  • Paid parental leave, flexible vacation, paid holidays, and a sabbatical program.
  • Mental health resources, therapy and coaching, localized work and wellness stipends, and retirement support.
  • Annual WIN bonus eligibility for full-time, permanent, non-commission employees; U.S. employees receive a 401(k) with a 100% employer match up to $6,000 per year.

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