3 дня назад
AI Project Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Project Manager (AI/Data Analytics): Leading end-to-end AI transformation and technology delivery projects for clients with an accent on AI-driven analytics, automation, data solutions, and Agile delivery. Focus on coordinating cross-functional teams, managing project risks and changes, and building AI agents and workflow automations in Jira, Confluence, and Azure DevOps.
Location: Priority for candidates in Serbia, Hungary, and Poland; hybrid work with one day per week in the office
Company
develops AI-driven solutions for pricing, revenue management, commercial excellence, real-time analytics, automation, and data-driven decision-making.
What you will do
- Lead end-to-end delivery of AI-powered transformation, analytics, automation, and data projects for external clients.
- Define technically feasible project goals with stakeholders and manage requirements, changes, risks, documentation, transparency, and quality.
- Coordinate clients, internal teams, and technology delivery teams across AI, chatbot, business intelligence, and data science projects.
- Facilitate daily scrums, sprint planning, retrospectives, and other team meetings while promoting Agile practices.
- Build workflow automations and AI agents in Jira, Confluence, Azure DevOps, and similar tools to reduce manual reporting, tracking, and governance.
Requirements
- 3+ years of experience managing technology delivery teams focused on AI, chatbot development, business intelligence, and/or data science.
- Hands-on production-level experience building or deploying AI systems, including LLMs, chatbots, predictive analytics, or other machine learning solutions.
- Experience delivering client-facing technology projects and working with cross-functional stakeholders.
- Practical experience with Scrum and Kanban; fluency in Jira project management.
- Advanced English language skills required.
- Technical, computer science, engineering, or data science background preferred; startup or similarly fast-paced experience expected.
Nice to have
- Experience with the Scaled Agile Framework (SAFe).
Culture & Benefits
- Flexible working hours based on core time to support work-life balance.
- Flat and flexible organization with direct access to colleagues and support from international experts.
- Opportunities to work independently on projects and gain experience with advanced AI technology.
- Practical digital workspace and support from the first day.
- Mainly virtual team activities and opportunities to connect with colleagues.
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