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10 часов назад

Data Product Manager (AI)

Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Malaysia
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
Data Product Manager (AI): Owns the strategy and delivery of core data platforms, including event tracking, attribution, metadata management, and data warehouse products, with an accent on data quality, governance, regulatory reporting, and AI-enabled platform capabilities. Focus on translating compliance requirements into data specifications, integrating LLM-based workflows, coordinating engineering and business teams, and driving platform adoption across markets.

Location: Kuala Lumpur, Malaysia

Company

hirify.global is a global cryptocurrency exchange and digital financial platform providing trading, payments, wealth management, custody, institutional services, and Web3 products.

What you will do

  • Own the planning, strategy, requirements, resource coordination, and delivery lifecycle for core data platforms such as event tracking, attribution, metadata management, and data warehouse portals.
  • Define end-to-end data collection solutions and establish data quality control monitoring and governance standards.
  • Drive AI applications in data products, including smart data discovery, automated governance, AI-assisted analytics, and workflow integration.
  • Translate financial and cryptocurrency regulatory requirements into data definitions, metrics, and reporting solutions.
  • Coordinate engineering, QA, upstream and downstream teams, and business units to deliver infrastructure projects and release iterations.
  • Document, promote, and support platform adoption through English and Chinese documentation, training, and feedback-driven improvements.

Requirements

  • Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related field is preferred.
  • Fluent English and the ability to work in an English-speaking environment.
  • Proficiency in SQL and familiarity with machine learning models.
  • At least 3 years of product management experience, with strong business analysis, data insight, product design, and cross-team coordination skills.
  • Proven experience implementing AI in data products or workflows, including familiarity with mainstream LLM capabilities and application patterns.
  • Understanding of financial or cryptocurrency compliance and regulatory frameworks, with experience delivering data reporting projects preferred.

Culture & Benefits

  • Professional development support through the Study Growth Fund.
  • Regular team-building activities, workshops, and internal events.
  • Collaboration with an international team across global markets.
  • Career advancement opportunities within a rapidly expanding company.
  • Internal mobility options for long-term career development.

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