Xebia Poland

Senior Technical Business Analyst

Xebia Poland

full-time

Posted on:

Location Type: Remote

Location: Bulgaria

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Job Level

Senior

Tech Stack

Cloud

About the role

  • Support the delivery and scaling of an enterprise Generative AI platform used to build client-facing and internal AI-powered solutions
  • Run a structured intake process for new AI use cases, assessing feasibility, value, and delivery readiness
  • Translate business needs into well-defined epics and stories with clear acceptance criteria
  • Maintain a transparent backlog and prioritization approach aligned with platform capacity and strategic goals
  • Coordinate work across platform, integration, security, and business teams, facilitating stand-ups, triage sessions, dependency reviews, and release go/no-go decisions
  • Maintain RAID logs, proactively remove blockers, and escalate risks early when needed
  • Build and maintain a multi-quarter roadmap for the Generative AI platform, aligning IT, data/ML, architecture, risk, and business stakeholders around priorities and delivery plans
  • Provide concise, executive-ready updates and decision materials
  • Standardize onboarding, security, and compliance playbooks for AI use cases
  • Ensure observability, operational readiness, and support runbooks are in place before go-live
  • Track and support AI safety, data protection, and responsible AI requirements across initiatives
  • Define and track KPIs such as time-to-pilot, time-to-production, usage, cost, and SLA adherence
  • Monitor platform capacity and costs; forecast demand and manage quotas
  • Build dashboards and reports that support leadership visibility and decision-making
  • Drive enablement through documentation, training sessions, office hours, and communities of practice
  • Capture and promote reusable patterns, reference architectures, and delivery templates
  • Support AI pilots through scale-up, capturing value realization and key learnings

Requirements

  • 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
  • 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
  • Work from the European Union region and a work permit are required. Candidates must have an active VAT status in the EU VIES registry.
Benefits
  • Health insurance
  • Professional development
  • Flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Generative AILLMsembeddingsRAGagentsprompt managementguardrailsevaluationCI/CDinfrastructure as code
Soft Skills
communicationrisk communicationfacilitationproactive mindsetownership-driven mindsetdelivery trackingcomfort operating in ambiguity