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SoftServe
Open role>14 days

Senior Project Manager

SoftServeUnited Arab Emirates
Work model
Hybrid
Experience
6+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
5 tags

Technology context

5

Parsed from the vacancy text; ordered by relevance to this role.

AIMachine LearningAzureData ScienceScrum

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Role description

ABOUT THE ROLE

In this role, you will lead the delivery of Data and AI initiatives for a large-scale healthcare digital transformation program in the UAE. You'll drive end-to-end project execution, collaborating with cross-functional teams and stakeholders to deliver AI-powered healthcare solutions that improve patient outcomes, optimize healthcare services, and support compliance with local regulations.

Responsibilities

  • Lead the end-to-end delivery of Data and AI products, ensuring alignment with business objectives, scope, timelines, budgets, and quality expectations.
  • Drive project discovery and planning by collaborating with stakeholders to define use cases, requirements, success metrics, and delivery roadmap.
  • Coordinate cross-functional teams, including Product Management, Data Science, Engineering, QA, Security, Compliance, and Operations, to ensure predictable delivery.
  • Manage project execution, tracking milestones, dependencies, risks, budgets, and resource allocation while maintaining transparent stakeholder communication.
  • Facilitate Agile delivery ceremonies and promote continuous improvement using Scrum practices and tools such as Azure Boards.
  • Ensure project deliverables comply with healthcare regulations, data privacy requirements, and organizational governance standards.
  • Monitor delivery performance through project metrics, dashboards, and regular reporting, proactively identifying improvement opportunities.
  • Foster collaboration across internal teams, customer stakeholders, and external vendors to support effective decision-making and delivery.

Requirements

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