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2 дня назад

Analytics Manager (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
lead
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Analytics Manager (AI/Data): Own and evolve the Center of Excellence (CoE) by designing scalable operational frameworks and managing high-impact data projects with an accent on technical mentorship, process optimization, and delivery assurance. Focus on scaling organizational efficiency, elevating the technical seniority of engineering leads, and ensuring high-quality technical output.

Location: Fully remote (Latin America)

Company

hirify.global helps U.S. companies build and scale world-class AI, ML, and Data teams powered by top talent from Latin America.

What you will do

  • Own core CoE processes, including recruitment, placement, onboarding, and structured career growth for the engineering team.
  • Design and implement scalable process improvements to increase organizational efficiency and innovation.
  • Coach and mentor Engineering Leads and engineers to elevate technical seniority, performance, and professional ownership.
  • Manage complex data projects from inception to completion, ensuring stakeholder alignment and high-quality delivery.
  • Monitor and optimize key CoE metrics, specifically resource utilization and placement success.
  • Collaborate cross-functionally to align resources and manage dependencies to achieve shared organizational goals.

Requirements

  • 7+ years of total professional experience with a track record of increasing responsibility.
  • 5+ years of experience in specialized data roles (Data Analytics, Analytics Engineering, or Data Science).
  • 2+ years of experience in leadership roles managing high-performing teams or complex projects.
  • Advanced English proficiency (C1+) with exceptional communication skills for technical and executive audiences.
  • Mastery of SQL, data modeling, and ETL/ELT pipeline design.
  • Must be based in Latin America.

Nice to have

  • Experience in consulting or client-facing environments building technical proposals.
  • Experience implementing training programs focused on the modern data stack (dbt, Snowflake, Databricks).
  • Direct exposure to AI and Generative AI integration within analytics workflows.
  • Proven success in scaling teams or operational processes within a rapidly growing startup.
  • Active participation in the data community via open-source, conferences, or technical blogging.

Culture & Benefits

  • Ownership through equity participation.
  • Annual company retreat and optional in-person meetups.
  • Education bonus for continuous learning and tailored career roadmaps.
  • Company-wide winter break and paid time off.
  • High-performance culture valuing transparency, curiosity, and authenticity.

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