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Managing Director, Data & AI

230 000 - 250 000$
Формат работы
hybrid
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
Managing Director, Data & AI (Data Strategy/AI): Owning the full data-to-AI value chain, including enterprise data strategy, governance, engineering, platforms, and AI-enabled business outcomes with an accent on operating-model unification, data readiness, and executive alignment. Focus on setting multi-year roadmaps, governing data platforms, scaling AI and automation adoption, and leading senior data and technology leaders.

Location: Remote in Nebraska with a hybrid schedule; associates within 30 miles of an office must work onsite three days per week. Candidates must already be authorized to work in the United States; visa sponsorship is not available.

Annual compensation: $230,000–$250,000

Company

hirify.global Business Services provides payment technology and education services to higher education institutions, K–12 schools, students, families, and supporters.

What you will do

  • Own the segment-wide data strategy, operating model, investment sequencing, and multi-year roadmap.
  • Unify data engineering, governance, AI, and automation through shared prioritization and delivery practices.
  • Oversee data platform architecture, consumption governance, costs, and roadmap priorities.
  • Establish governance for data policy, lineage, quality, and access while enabling trusted consumption.
  • Set the strategy for AI and automation in business processes and oversee adoption and the Citizen Developer program.
  • Lead directors, develop senior leaders, manage performance, and partner with C-suite stakeholders.

Requirements

  • Bachelor’s degree in a related field.
  • 10+ years of experience leading enterprise-scale data organizations, including leading leaders.
  • Experience owning an enterprise data strategy from definition through multi-year execution.
  • Executive-level influence with C-suite and business stakeholders.
  • Practical depth in data engineering and data governance sufficient to direct and challenge those teams.
  • Existing U.S. work authorization is required; visa sponsorship is not available.

Nice to have

  • Experience applying AI/ML and intelligent automation to business processes with measurable outcomes.
  • Experience in regulated or financial-services data environments.
  • Experience establishing modern data operating models, data products, or domain ownership.

Culture & Benefits

  • Hybrid work environment designed to support flexibility and work-life integration.
  • Medical, dental, vision, HSA, and FSA benefits.
  • Earned time off, 401(k), student loan repayment, and tuition reimbursement.
  • Life, disability, employee assistance, wellness, and employee stock purchase programs.
  • Performance-based incentive pay.

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