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2 часа назад

Principal Data Strategist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Data Strategist (AI): Building and optimizing data strategies and modern data architecture for clients with an accent on AI ecosystem integration, data governance, and C-level stakeholder engagement. Focus on translating business needs into viable data solutions and driving complex commercial proposals.

Location: Hybrid Model: Requires an on-site presence of 20-40% at client or office locations. Must be based in United Kingdom, London.

Company

hirify.global is a leading technology consultancy revolutionizing tech and solving complex business problems for clients.

What you will do

  • Collaborate with clients to define data and technology strategies aligned with business goals.
  • Provide technical leadership and guidance as a data subject matter expert on complex data programs.
  • Act as a translator between business, data, and IT, communicating strategies to C-level stakeholders.
  • Own the creation of end-to-end viable data solutions and oversee program inceptions.
  • Formulate data governance strategies addressing security, privacy, and compliance.
  • Enable capability building in data strategy and governance and represent hirify.global in forums.

Requirements

  • Extensive experience as a consultant creating data strategy and solutions that drive business value.
  • Solid experience with data platforms and technologies, including AI/ML use cases.
  • Experience engaging with C-level stakeholders to operationalize enterprise-wide data strategy.
  • Demonstrated leadership abilities to lead technical teams and drive projects.
  • Track record of ensuring proper data governance policies (lineage, quality, classification).
  • Extensive pre-sales experience and proven ability to independently drive complex pursuits and create winning commercial proposals.

Nice to have

  • Experience with streaming analytics.
  • Experience with cloud platforms such as Azure or GCP.
  • Experience with data warehousing and analytics platforms like Snowflake or Databricks.

Culture & Benefits

  • Individualized career development with interactive tools, programs, and team support.
  • Emphasis on continuous learning and empowering employees in their career journeys.
  • Dynamic and inclusive community of bright and supportive colleagues.
  • Purposeful and impactful work, solving complex business problems with technology.

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