- Professional
- Bureau à Madrid
We work with some of the world’s largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe’s fastest-growing providers of CX transformation solutions, we’re committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience.
We are currently looking for a passionate and enthusiastic Business Consultant to join our Team
We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change.
The Business Consultant will join our customer service bot/AI agent development team for contact center environments, supporting the full lifecycle—requirements, design, development, unit & integration testing, deployment, and post‑production support. You will translate business goals into measurable AI/automation outcomes, own value cases and KPIs, drive adoption and change, and ensure regulatory and operational readiness across channels (voice/chat/messaging).
Key Responsibilities
- Lead discovery & requirements elicitation: Facilitate stakeholder workshops to define scope, prioritize use cases, and capture business and functional requirements for bot/AI service automation.
- Conduct advanced UX/CX assessments: Map as-is/to-be journeys, diagnose pain points, and identify automation opportunities; define KPIs (e.g., containment rate, FCR, CSAT/NPS, AHT, deflection, resolution time).
- Evaluate current-state technologies & architecture: Assess platforms (LLM/NLU/NLP), orchestration/dialog management, knowledge/RAG, analytics, and integrations (CRM, ITSM, CCaaS, telephony, channels) to surface gaps, risks, and constraints.
- Design target-state solutions & roadmaps: Propose alternative architectures and technology options, channel strategies, and governance; sequence delivery into a pragmatic roadmap aligned to business outcomes.
- Build business cases & financial models: Quantify value (cost-to-serve reduction, SLA improvements, revenue protection/upsell), estimate TCO, ROI, and payback; run scenario and sensitivity analyses.
- Author & present consulting deliverables: Produce executive-ready assessment reports and transformation proposals with clear recommendations, architecture alternatives, and economic impact; deliver client presentations.
- Translate strategy into delivery artifacts: Create epics/user stories, acceptance criteria, and non-functional requirements; align test strategies (unit, integration, UAT) to business KPIs and success criteria.
- Oversee end-to-end implementation: Coordinate across design, engineering, and QA; manage risks/dependencies; support deployments and hypercare to stabilize performance post go-live.
- Establish measurement & continuous optimization: Define analytics and monitoring (dashboards, alerts), run A/B tests and tuning cycles (intent coverage, model precision/recall), and drive iterative improvements to CX and KPIs.
- Drive change management, compliance & adoption: Plan comms, training, and support processes; ensure data privacy, GDPR, and responsible AI practices; embed governance for model/version control and content quality.
Skills Knowledge and Expertise
- Ability to analyse and participate in business-oriented UX/CX consulting projects where customer bot automation services have been analysed, evaluating their KPIs, technologies used, architectures and technological solutions, in order to propose improvements in use cases and disruptive business models based on business models built for each case.
- Experience in writing and presenting consulting reports to clients that include, in addition to the analysis, a proposal for the digital transformation of their services, alternative architectures and technologies, economic factors such as potential savings and returns on investment, as well as any business recommendations that will help clients improve and evolve their customer service.
What extra would be desirable:
- Experience in contact centre and Meta integrations across different platforms.
- Knowledge of conversational technologies such as DialogFlow, Genesys Dialog Engine, Nuance Mix or Microsoft Bot Framework, VXM.
- Participation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis) and generative AI.
- Experience in customer service, requirements gathering, design, validation, etc
- Experience in recognition models (SST, TTS, NLU) as well as in their training or continuous improvement: Microsoft STT, MS LUIS/CLU, Google, Amazon, Nuance Recognizer.
- Experience in improving UX in terms of design, development, analysis and continuous improvement of NLP associated with bots.
- Experience in designing, writing and improving AI prompting under different LLM models. Knowledge of technologies based on generative AI: e.g. Agentic, Google Conversational Agent with Playbooks, Gemini, OpenAI, Amazon Bedrock, Microsoft Azure AI, other AI architectures or LLMs, etc.
Benefits
Benefits may include:
Pension Scheme
Remote/Flexible work
Life insurance
Health insurance
25 days paid holiday a year
LinkedIn Learning
Plus many more! (Benefits are dependant on your base location.)
The Small Print
Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.