Xebia

Senior Technical Business Analyst

Xebia

full-time

Posted on:

Location Type: Remote

Location: Romania

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Job Level

Senior

About the role

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
Benefits
  • professional development budgets — for both tech and soft skills
  • remote work
  • culture that actively support your growth
Applicant Tracking System Keywords

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

Hard Skills & Tools
Generative AILLMsembeddingsRAGagentsprompt managementguardrailsevaluationDevOpsMLOps
Soft Skills
communicationfacilitationproactive mindsetownership-drivendelivery trackingrisk communicationcoordinationoperating in ambiguityexecutive-level updatesteam collaboration