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Senior Project Manager (AI)

Формат работы
remote (только United_arab_emirates)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Project Manager (AI): Leading end-to-end delivery of Data and AI products for a large-scale healthcare digital transformation program in the UAE with an accent on delivery governance, stakeholder coordination, regulatory compliance, and measurable business outcomes. Focus on planning and executing AI-powered healthcare initiatives, managing cross-functional teams, and improving delivery through Agile practices, project metrics, and risk management.

Location: UAE; work type: Remote/Office

Company

hirify.global delivers technology and digital transformation solutions for enterprise customers.

What you will do

  • Lead end-to-end delivery of Data and AI products for a large-scale healthcare digital transformation program.
  • Define use cases, requirements, success metrics, delivery roadmaps, scope, timelines, budgets, and quality expectations.
  • Coordinate Product Management, Data Science, Engineering, QA, Security, Compliance, Operations, customer stakeholders, and external vendors.
  • Track milestones, dependencies, risks, budgets, resources, delivery metrics, dashboards, and stakeholder reporting.
  • Facilitate Agile delivery ceremonies and promote continuous improvement using Scrum practices and Azure Boards.
  • Ensure deliverables meet healthcare regulations, data privacy requirements, and organizational governance standards.

Requirements

  • 6+ years of experience managing Data and/or AI projects, preferably in healthcare.
  • Experience delivering Data and AI products from initiation through production release with measurable business outcomes.
  • Strong expertise in project planning, delivery governance, budgeting, resource planning, scope management, and risk management.
  • Experience working with cross-functional Product, Data Science, Engineering, QA, Security/Compliance, and Operations teams.
  • Practical experience with Agile/Scrum methodologies and project management tools such as Azure Boards.
  • Understanding of AI/ML delivery principles, healthcare systems, healthcare data, healthcare data standards, and data privacy regulations.

Culture & Benefits

  • Remote or office-based work arrangement.
  • Collaboration with internal teams, customer stakeholders, and external vendors.
  • Work on AI-powered healthcare solutions focused on improving patient outcomes and optimizing healthcare services.

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