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13 дней назад

Data & AI Manager

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
China
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 & AI Manager (Data Platforms and AI Solutions): Designing, developing, and delivering scalable data and AI-enabled solutions for business operations and decision-making with an accent on analytics, automation, governance, and enterprise platform alignment. Focus on translating business requirements into data models, dashboards, AI use cases, and workflows while leading Agile delivery, data quality, and technical capability building.

Location: Shanghai, China

Company

hirify.global is the employer for this data and AI role.

What you will do

  • Design, develop, test, and deploy data and AI-enabled solutions supporting business operations and decision-making.
  • Translate business requirements into technical specifications, data models, dashboards, AI use cases, and automation workflows.
  • Plan solution roadmaps and recommend analytics, data, automation, and AI approaches aligned with enterprise technology priorities.
  • Lead backlog refinement, sprint planning, release activities, and project execution within Agile delivery frameworks.
  • Support data governance, quality, integrity, security, compliance, reusable data assets, common metrics, and reporting capabilities.
  • Provide technical guidance and mentoring to team members, vendors, and project contributors.

Requirements

  • Experience designing and delivering data, analytics, automation, and AI solutions.
  • Ability to translate business needs into technical specifications, data models, dashboards, and AI-enabled workflows.
  • Knowledge of data governance standards, data quality, security, integrity, and compliance practices.
  • Experience collaborating with business stakeholders, architects, engineers, technology teams, and platform teams.
  • Experience with Agile delivery, backlog refinement, sprint planning, and release management.

Culture & Benefits

  • Work closely with cross-functional business and technology stakeholders.
  • Contribute to digital transformation, data platform initiatives, analytics solutions, and AI innovation efforts.
  • Help establish reusable data assets, common metrics, reporting capabilities, and technology best practices.

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