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2 дня назад

Director, Data Analytics Engineering (AI)

189 080 - 283 630$
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 Engineering (AI): Establishing enterprise data foundation and readiness capabilities for analytics, AI, and machine learning solutions with an accent on data quality, governance, observability, and reusable engineering frameworks. Focus on building scalable data platforms, standardizing feature and data servicing patterns, and leading organizational transformation across a complex enterprise.

Location: Chicago, Illinois, or Irving, Texas, United States

Salary: $189,080–$283,630 per year

Company

hirify.global develops heavy machinery and connected digital solutions, with CAT Digital focused on technology, data, and AI-enabled products.

What you will do

  • Define and lead the enterprise strategy for data foundation and readiness across analytics and AI solutions.
  • Establish standards and operating practices for data quality, lineage, observability, validation, certification, and stewardship.
  • Build reusable frameworks, data products, feature pipelines, semantic layers, and engineering patterns.
  • Enable faster experimentation and production delivery for AI and analytics teams through trusted, reusable data assets.
  • Lead organizational transformation, architecture modernization, and cross-functional collaboration with data, AI/ML, product, and platform teams.
  • Lead, coach, and develop analytics engineering managers and their organizations.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
  • 12+ years of progressive experience in data engineering, analytics engineering, software engineering, analytics platforms, or related technical disciplines.
  • 5+ years of experience leading managers and large technical teams.
  • Experience building and scaling enterprise data platforms and analytics capabilities.
  • Deep expertise in data quality, governance, observability, lifecycle management, cloud data platforms, and modern data architectures.
  • Experience supporting AI/ML ecosystems and influencing senior executive stakeholders.

Nice to have

  • Advanced degree in Computer Science, Engineering, Data Science, Analytics, or a related field.
  • Experience with data contracts, cataloging, lineage, observability platforms, MLOps, AI platforms, feature stores, and production AI solutions.
  • Familiarity with product operating models, agile delivery, platform engineering, and large-scale enterprise modernization.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid vacation, holidays, volunteer time, parental leave, and adoption benefits.
  • 401(k), HSA, FSA, disability, and life insurance benefits.
  • Career development, tuition reimbursement, health lifestyle programs, and employee discounts.
  • Incentive bonus and employee assistance program.

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