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18 дней назад

Customer Technology Advisor Data & Artificial Intelligence (AI)

88 900€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Austria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Customer Technology Advisor Data & Artificial Intelligence (AI) (Data & AI consulting): Designing and scaling data and AI capabilities for enterprise customers with an accent on modern data platforms, governance, analytics, machine learning, and generative AI. Focus on leading complex pre-sales engagements, shaping end-to-end architectures, and translating business challenges into measurable technology outcomes.

Location: Vienna, Austria; valid Austrian work permission is required

Salary: Minimum €88,900 gross per year

Company

hirify.global operates and modernizes mission-critical technology systems for leading businesses, with a focus on AI-powered insights and enterprise transformation.

What you will do

  • Advise CIOs, CDOs, and AI leaders on data modernization, analytics, and AI adoption.
  • Lead Data & AI solution design in complex sales and pre-sales engagements.
  • Shape end-to-end architectures covering data ingestion, governance, analytics, machine learning, and generative AI.
  • Create proposals, demonstrations, proofs of concept, and value narratives linked to business outcomes.
  • Collaborate with Microsoft, Databricks, Snowflake, and other technology partners.
  • Translate developments in GenAI, advanced analytics, and data platforms into client-ready offerings.

Requirements

  • Bachelor’s or Master’s degree.
  • At least 10 years of experience in Data & AI consulting, architecture, or advisory roles with direct customer responsibility.
  • Experience in consultative selling and selling technical services to multinational customers.
  • Ability to translate business challenges into Data & AI strategies and lead technical direction.
  • Fluent German and English are required.
  • Valid work permission in Austria is required.

Nice to have

  • Experience with Databricks, Microsoft Fabric, Snowflake, or other modern data platforms.
  • Experience with enterprise data governance, security, and compliance.
  • Knowledge of AI, machine learning, generative AI, advanced analytics, or knowledge graphs such as Neo4j.

Culture & Benefits

  • Flexible, supportive, and hybrid-friendly working culture.
  • Access to learning opportunities, certifications, coaching, and hands-on experience with major platforms and hyperscalers.
  • Personalized development goals, career planning tools, and continuous feedback.
  • Be Well programs supporting financial, mental, physical, and social health.
  • Inclusive culture focused on empathy, belonging, continuous learning, and shared success.

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