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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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:
- Leading transformation workstreams from planning through delivery, including scope, milestones, dependencies, risks and status reporting.
- Coordinating multiple teams and external vendors, and keeping delivery aligned with agreed plans and quality expectations.
- Tracking workstream budgets, including CAPEX and OPEX, and raising variances early.
- Preparing governance materials, maintaining decision logs and presenting risks and options to senior stakeholders.
- Leading process discovery, documenting current-state processes and defining target-state solutions with stakeholders.
- Eliciting and documenting business requirements, user stories and acceptance criteria.
- Translating business reporting needs into measurable KPIs and supporting the processes and tools used to track them.
- Planning and leading data migrations, including data inventory, mapping, cleansing rules, rehearsals, reconciliation and sign-off.
- Defining data quality checks and acceptance criteria for migrated data.
- Supporting system and tool consolidation, cut-over, go-live and hyper-care.
- Documenting new processes, training teams and tracking adoption after changes go live.
Your profile:
- At least 10 years of experience in IT delivery, including 5+ years leading enterprise transformation programmes as a Senior Project Manager.
- A track record of managing multiple workstreams, teams of different sizes and external vendors.
- Hands-on Business Analysis experience, including leading process discovery, mapping as-is and to-be processes, and writing requirements and user stories.
- Experience leading at least one end-to-end data migration from a legacy system to a new platform, including mapping, reconciliation and cut-over.
- A background in consolidating legacy systems or tools into a single platform.
- The ability to translate business needs into measurable KPIs, such as lead time, cycle time, SLA adherence or delivery predictability.
- Experience owning or closely managing project budgets, including CAPEX and OPEX tracking.
- Practical Jira experience, including configuring issue hierarchies, workflows or fields to support reporting.
- Confidence communicating with business stakeholders, senior management and technical teams, including during steering committee meetings.
- Experience documenting processes, delivering training and supporting adoption.
- English proficiency at C1 level or higher.
- 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 in payments, fuel cards, mobility, FinTech or financial services.
- Experience migrating tools, for example from Azure DevOps to Jira, including access management for external vendors.
- Knowledge of ITIL v4 and service process design.
- PMP, PRINCE2, SAFe, CBAP/IIBA or similar certification.
- Consulting or staff augmentation experience, with an understanding of both client-side and vendor-side delivery.
- 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
