This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Lead end‑to‑end delivery of IT projects, including AI/ML integration initiatives, from planning through implementation and post‑deployment support
Manage project scope, timeline, budget, risks, and dependencies across multiple concurrent initiatives
Partner with data scientists, engineers, architects, product owners, and business stakeholders to translate AI/ML use cases into executable project plans
Coordinate integration of AI/ML models into existing enterprise systems (e.g., applications, data platforms, APIs)
Drive Agile and/or hybrid delivery methodologies, facilitating sprint planning, stand‑ups, retrospectives, and status reporting
Identify and mitigate technical, data, security, and compliance risks associated with AI/ML deployments
Ensure adherence to governance, data privacy, and ethical AI standards
Communicate project status, risks, and outcomes to leadership and executive stakeholders
Champion continuous improvement of project management practices, tooling, and delivery frameworks
Requirements:
5+ years of experience as an IT Project Manager delivering enterprise technology projects
Demonstrated experience supporting or managing AI/ML, advanced analytics, or data‑driven initiatives
Strong understanding of system integrations, APIs, data pipelines, and enterprise application environments
Hands‑on experience with Agile, Scrum, or hybrid project delivery methodologies
Proficiency with project management tools (Jira, Azure DevOps, MS Project, Smartsheet, or similar)
Strong risk management, dependency tracking, and stakeholder management skills
Excellent communication and leadership abilities across technical and non‑technical teams
Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience
Nice to have:
Experience integrating machine learning models into production systems (batch or real‑time)
Familiarity with cloud platforms (Azure, AWS, or GCP) and AI services
Exposure to MLOps practices, data governance, and model lifecycle management
PMP, PMI‑ACP, CSM, or equivalent certification
Background in regulated or enterprise environments (finance, healthcare, insurance, or government)