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1 месяц назад

Technical Program Manager (Big Data)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Technical Program Manager (Big Data/AI): Managing commercial delivery and project administration for big data and AI implementations for Fortune 500 clients with an accent on risk mitigation, financial management, and cross-functional coordination. Focus on accelerating customer success adoption and ensuring seamless handover from sales to delivery teams.

Location: Singapore. Travel expected across the Asean and Greater China Region

Company

Databricks is a data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Own commercial delivery of services across multiple concurrent projects in Asean and Greater China.
  • Define, manage, and scope projects while mitigating risks and enforcing reporting and milestone tracking.
  • Manage financial aspects of engagements to ensure project success and customer adoption.
  • Coordinate the handover process from sales to delivery teams in collaboration with account management.
  • Ensure accurate project reporting and keep all relevant stakeholders updated on activity and success.

Requirements

  • 4+ years of experience managing big data projects with teams of up to 5 people.
  • Experience with enterprise-scale projects and global deployments within the big data and analytics industry.
  • Proficiency in Agile project delivery; PMI, PRINCE, or AGILE certification is highly preferred.
  • Strong commercial focus with experience managing both T&M and Fixed Price project engagements.
  • Excellent communication and analytical skills with the ability to mentor team members.
  • Must be based in Singapore and available for regional travel

Culture & Benefits

  • Opportunity to solve some of the world's most complex distributed processing and machine learning problems.
  • Inclusive culture committed to diversity, equity, and equal employment opportunity.
  • Comprehensive benefits and perks tailored to the local region.

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