Назад
Company hidden
3 часа назад

Senior Vice President, Data Operations (AI)

315 000 - 375 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
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
Senior Vice President, Data Operations (AI): Leading the strategy, architecture, and execution of an enterprise-wide, petabyte-scale data platform spanning ingestion, warehousing, streaming, governance, and AI enablement with an accent on reliability, data quality, compliance, and organizational leadership. Focus on architecting batch and real-time pipelines, enabling generative AI and ML infrastructure, and building a trusted data foundation for content, audience, advertising, and product functions.

Location: New York, NY; hybrid in-office three days per week, with remote work permitted up to two days per week.

Salary: $315,000–$375,000 annually, plus potential bonuses and short- and long-term incentives.

Company

hirify.global is a large digital media company operating a portfolio of brands and using multi-petabyte data infrastructure to support content, audience, advertising, and revenue initiatives.

What you will do

  • Define and execute a multi-year enterprise data platform strategy aligned with content, audience, advertising, and product goals.
  • Architect and oversee petabyte-scale batch and real-time data ingestion, transformation, storage, and serving infrastructure.
  • Lead data warehouse and lakehouse evolution, streaming architecture, platform reliability, performance, and cost efficiency.
  • Establish data governance, ownership, lineage, cataloging, quality SLAs, privacy, and compliance frameworks.
  • Build and lead Data Engineering, Platform Engineering, and Analytics Engineering organizations.
  • Enable generative AI and ML applications through model training pipelines, embedding stores, experiment tracking, and advanced analytics.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  • 15+ years of progressive experience in data engineering, data platform architecture, or analytics infrastructure.
  • At least 5 years of experience in a senior leadership role.
  • Proven experience designing and scaling petabyte-level data platforms in a high-traffic, data-intensive industry.
  • Deep expertise in data lakes and lakehouses, cloud data warehouses, stream processing, orchestration, cloud platforms, distributed systems, data governance, metadata management, and data quality.
  • Strong strategic planning, architectural decision-making, communication, and executive presence.

Nice to have

  • Master's degree or PhD.
  • Experience in digital media, content platforms, advertising technology, e-commerce, fintech, or similar industries.

Culture & Benefits

  • People-first culture focused on craft, innovation, ownership, and continuous growth.
  • Medical, dental, vision, prescription drug, life, disability, and supplemental insurance options.
  • Unlimited paid time off, paid holidays, paid parental leave, and family care benefits.
  • 401(k) savings plan with company match, health savings and flexible spending accounts, commuter benefits, and tuition reimbursement.
  • Adoption or surrogate assistance, donation matching, and voluntary pet and accident insurance benefits.

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 →