Senior Project Manager

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 SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law. Show more Show less

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.

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.