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Wallet icon Coin icon Rate 6 000 € - 8 000 € / month info

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Timer icon Form of cooperation Freelance: Full-time
Briefcase icon Sector Information Technology
Location icon Location Bratislava, 50% Remote
Project duration 4-16 months with the possibility of extension
Period of cooperation 01.12.2026 - 31.03.2027
Start date By agreement
Project duration 4-16 months with the possibility of extension
Period of cooperation 01.12.2026 - 31.03.2027
Start date By agreement

Languages

  • English flag English - active, B2/C1/C2

Project description

  • collaboration with business owners in defining the business case, project scope, goals, KPIs, and expected benefits
  • gathering and analyzing requirements from business users and transforming them into functional specifications, acceptance criteria, and test scenarios
  • defining the project plan, schedule, delivery scope, and responsibilities of individual teams
  • managing the complex delivery of AI projects, including data readiness, AI model development, system integrations, process adjustments, and user preparation
  • coordination of business, IT, Data, and AI/ML teams and management of dependencies between individual work areas
  • organization and management of project activities, including iterative planning, presentation of ongoing results, SIT, UAT, cut-over, and go-live preparation
  • identification and management of project risks, assumptions, issues, and dependencies, including proposing solutions and alternatives when the schedule or project scope is threatened
  • controlling project scope and evaluating the impact of requested changes on the delivery timeline, costs, and quality
  • coordination with IT, data, platform, and security teams in ensuring access, data quality, architecture, model governance, and production hosting
  • supervising the quality of deliverables from external partners and suppliers, including managing contractual obligations, milestones, and outputs
  • ensuring compliance with data protection, information security, and Responsible AI requirements before deploying the solution to production
  • managing change management and adoption of AI solutions, including communication with stakeholders, training, and integration of new solutions into work processes
  • defining and tracking KPIs and measuring real benefits after solution deployment
  • preparing regular project status reports, risks, and decisions for both technical teams and senior management
  • creating and standardizing AI project management methodology, including project procedures, checkpoints, evaluation checklists, and adoption tracking
  • transferring knowledge and methodology to business teams so they can independently manage further project activities

Project requirements

  • min. 6 years of project experience in IT or digital projects, with min. 2 years managing AI, Data, or Automation projects through to production deployment
  • experience in managing complex projects across multiple teams and functional areas
  • experience managing the entire project lifecycle from defining the business case and requirements to production deployment and benefits evaluation
  • experience in managing project scope, schedule, risks, dependencies, and changes
  • ability to coordinate technical activities in data readiness, system integration, security, and production deployment
  • experience in communicating with and managing expectations of senior stakeholders
  • practical knowledge of iterative project delivery methods
     
  • practical knowledge of AI/LLM solutions and their functionality, especially:
    • Large Language Models (LLM)
    • Prompt design / Prompt Engineering
    • Retrieval architectures / RAG
    • AI orchestration
    • Agent-based systems
    • AI solution evaluation and testing
       
  • experience with enterprise platforms and integrations:
    • Microsoft Azure OpenAI
    • Microsoft Copilot Studio
    • Microsoft Power Platform
    • Microsoft 365
    • ServiceNow
       
  • Enterprise APIs, data sources, and workflow tools
  • experience in creating product strategy, roadmaps, and managing product backlogs
  • ability to define product requirements and prepare detailed specifications for AI development teams
     
  • advantageous:
    • PMP, PRINCE2, Scrum Master certification, or equivalent project certification
    • experience in technical consulting, solution delivery, or customer-facing engineering
    • experience with change management, user adoption, and optimization of work processes
    • practical experience in creating AI solutions using Copilot Studio, Power Platform, or similar low-code AI tools
    • experience in shared services, operations, or enterprise support environments
       
  • analytical thinking
  • ability to collaborate in an international environment

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