обновлено 4 дня назад
Senior Project Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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