Senior Project Manager - Team Lead handling AI/ML implementation projects for international clients. Leading complex projects that require strategic thinking and technical team collaboration.
Responsibilities
Serve as the primary liaison between clients and delivery teams, ensuring alignment on project objectives, delivery commitments, and stakeholder expectations
Develop and maintain comprehensive project plans (scope, timeline, budget, resources) while prioritizing deliverables based on business value
Lead Agile ceremonies and processes: sprint planning, standups, reviews, and retrospectives
Facilitate requirements gathering and stakeholder workshops to translate business needs into technical solutions
Lead cross-functional technical teams including AI engineers, data scientists, architects, and analysts - assign tasks, set expectations, and monitor delivery
Make prioritization and trade-off decisions balancing scope, quality, timeline, and business impact
Track project progress against milestones, identify dependencies, and proactively address blockers
Identify, assess, and mitigate project risks while managing project budgets (cost tracking, forecasting, billing)
Prepare and present project status reports, delivery metrics, and business outcomes to internal and external stakeholders
Ensure quality standards and contractual obligations are met throughout the project lifecycle
Requirements
University degree in Computer Science, Engineering, Technology, Information Systems, Business, Project Management, or similar
5+ years of experience in project management or delivery leadership roles in B2B technology environments
Proven track record of delivering complex projects in Agile environments on time, within budget, and to quality standards
Strong project management discipline with product ownership mindset—understanding both 'how to deliver' and 'what creates value'
Excellent client-facing and stakeholder management skills
Solid experience leading cross-functional technical teams
Deep understanding of Agile methodologies (Scrum, Kanban) and project management frameworks
Strong analytical and business thinking - ability to use data and metrics to guide decisions
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