Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- defining the analytical approach for the project, setting the direction and ensuring alignment with business objectives,
- contributing to large-scale, complex IT projects delivered by geographically distributed and culturally diverse teams,
- participating in the full software development lifecycle—from initial concept and development through implementation, further growth, and maintenance—often across multiple parallel workstreams,
- co-creating delivery plans and product roadmaps while balancing business priorities with project, operational, contractual, and technological constraints,
- representing the project team in interactions with internal and external stakeholders, providing the right level of information and influencing key business decisions,
- collaborating with business stakeholders to uncover their actual needs and validate proposed solutions,
- working closely with UX designers, architects, and development teams to shape solutions that meet business needs and are technically feasible,
- managing analytical complexity by identifying dependencies across modules, processes, and workstreams, ensuring consistency of requirements, and resolving potential conflicts.
Your profile:
- extensive experience as a Business Analyst and/or Product Owner, with a proven track record of delivering successful outcomes across different industries,
- hands-on experience in large-scale, complex IT projects delivered using Agile, hybrid, Waterfall, or other adaptable methodologies,
- strong technical understanding and experience working with complex platforms, allowing you to confidently navigate technical concepts and collaborate effectively with development teams,
- excellent communication and stakeholder management skills, including experience leading cross-functional meetings, facilitating workshops, and engaging with stakeholders at all organizational levels,
- proven ability to select, tailor, and apply analysis tools and techniques to meet the specific needs of each project,
- ability to quickly understand industry-specific processes and terminology, adapt to different business domains, and provide relevant insights,
- confidence in working at the intersection of business and technology, translating business needs into solutions that are both valuable and technically feasible,
- a goal-oriented, independent, and confident approach, with the ability to remain focused and effective in dynamic, rapidly changing project environments,
- strong leadership and ownership skills, with the ability to foster collaboration and drive teams toward shared project goals,
- a strategic mindset and the ability to balance business priorities with technical, operational, and project constraints,
- familiarity with emerging technologies will be an advantage,
- fluent command of English,
- practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- experience with or a good understanding of mobile technology, specifically mobile networks, services, and provisioning,
- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work,
- interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
