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2 месяца назад

Director of Data (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Director of Data (AI): Leading the data organization and shaping scalable data engineering and infrastructure platforms for AI-powered eCommerce products with an accent on technical vision, architecture, and operational excellence. Focus on modernizing distributed data systems, guiding hands-on implementation, and building reliable platforms across data engineering and infrastructure.

Location: Hybrid in Tel Aviv, Israel

Company

hirify.global develops AI-powered reviews and loyalty solutions that help eCommerce brands improve customer relationships, conversion, and long-term growth.

What you will do

  • Lead the Data organization and establish a lean, high-performing technical operating model.
  • Own the technical vision, architecture, and execution for Data Engineering and Data Infrastructure.
  • Manage and mentor multidisciplinary engineering teams while driving accountability and technical excellence.
  • Guide architectural decisions, design reviews, and execution of critical data initiatives.
  • Partner with R&D, Product, Finance, Support, and go-to-market stakeholders to deliver scalable data products and platforms.
  • Modernize the data ecosystem using modern data platforms, AI, automation, reliability, observability, and operational excellence practices.

Requirements

  • 8+ years of experience in Data Engineering, Data Platform, Data Infrastructure, or related technical domains.
  • 3+ years of engineering leadership experience with direct people management and ownership of strategic technical initiatives.
  • Hands-on expertise designing, building, and operating large-scale data platforms and distributed systems.
  • Deep understanding of data warehouses, data lakes, data pipelines, orchestration frameworks, and cloud-based platforms.
  • Experience managing multidisciplinary teams across Data Engineering, Infrastructure, Platform Engineering, or related functions.
  • Strong stakeholder management, communication, and cross-functional leadership skills, with an interest in AI, automation, and the future of data platforms.

Nice to have

  • Experience with AI, GenAI, LLM-based tools, or AI-assisted development workflows.
  • Experience leading organizational or operational transformations within data teams.
  • Background in high-growth B2B SaaS companies.
  • Experience with Snowflake, Databricks, Airflow, Kafka, dbt, DataOps, platform engineering, infrastructure automation, or observability.
  • Experience supporting Finance, Customer Support, Revenue Operations, go-to-market, or Business Intelligence domains.

Culture & Benefits

  • Work in a culture focused on ownership, technical excellence, continuous learning, and meaningful impact.
  • Collaborate with leaders across technical and business functions on company-wide initiatives.
  • Contribute to diverse and inclusive teams where people from all backgrounds are encouraged to apply.

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