Senior Technical Business Analyst

Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.

We are looking for a Technical Business Analyst to support the delivery and scaling of an enterprise Generative AI platform used to build client-facing and internal AI-powered solutions. This role operates at the intersection of product, engineering, data/ML, security, and business teams.

You won’t be writing production code, but you will play a critical role in ensuring that complex AI initiatives move smoothly from idea to production — with clarity, structure, and strong stakeholder alignment.

You will be:

• Demand intake & prioritization

  • running a structured intake process for new AI use cases, assessing feasibility, value, and delivery readiness,

  • translating business needs into well-defined epics and stories with clear acceptance criteria,

  • maintaining a transparent backlog and prioritization approach aligned with platform capacity and strategic goals.

  Delivery orchestration

  • coordinating work across platform, integration, security, and business teams,

  • facilitating stand-ups, triage sessions, dependency reviews, and release go/no-go decisions,

  • maintaining RAID logs, proactively remove blockers, and escalate risks early when needed.

  Roadmap & stakeholder alignment

  • building and maintaining a multi-quarter roadmap for the Generative AI platform,

  • aligning IT, data/ML, architecture, risk, and business stakeholders around priorities and delivery plans,

  • providing concise, executive-ready updates and decision materials.

  Platform & governance enablement

  • standardizing onboarding, security, and compliance playbooks for AI use cases,

  • ensuring observability, operational readiness, and support runbooks are in place before go-live,

  • tracking and supporting AI safety, data protection, and responsible AI requirements across initiatives.

  Measurement & reporting

  • defining and track KPIs such as time-to-pilot, time-to-production, usage, cost, and SLA adherence,

  • monitoring platform capacity and costs; forecast demand and manage quotas,

  • building dashboards and reports that support leadership visibility and decision-making.

  Adoption & change management

  • driving enablement through documentation, training sessions, office hours, and communities of practice,

  • capturing and promoting reusable patterns, reference architectures, and delivery templates,

  • supporting AI pilots through scale-up, capturing value realization and key learnings.

Requirements

Your profile:

• 5–8+ years of experience in technical program management, delivery analysis, or PMO roles within platform, data/AI, or enterprise technology environments,

• strong technical intuition, particularly in:

  • Generative AI concepts (LLMs, embeddings, RAG, agents, prompt management, guardrails, evaluation),

  • modern DevOps and MLOps practices (CI/CD, containers, infrastructure as code, observability),

  • API-first platforms and integration patterns.

• proven experience coordinating work across engineering, data/ML, security, infrastructure, and business teams in a matrixed environment,

• excellent communication skills, including executive-level updates, risk communication, and facilitation,

• strong delivery tracking and tooling skills (work management tools, documentation, dashboards),

• comfort operating in ambiguity and a proactive, ownership-driven mindset.

• Work from the European Union region and a work permit are required.

Nice to have:

• experience launching or scaling internal AI/ML or developer platforms,

• exposure to public cloud AI services, model providers, agent/orchestration frameworks, or evaluation pipelines,

• familiarity with data privacy, security, and responsible AI practices,

• understanding of AI cost models, usage forecasting, and unit economics,

• background in consulting, professional services, or multi-stakeholder environments.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision