AI Business Value Advisor

As an AI Business Value Advisor, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. You will shape the business architecture behind intelligent systems: the problems worth solving, the processes and decisions that should change, the use cases to prioritise and the outcomes that define success.

• Lead business and operational discovery, owning client-facing phases such as discovery and value reviews, and working with senior stakeholders, frontline teams and subject-matter experts to find the real problems behind an initial request
• Analyse and redesign processes and decision flows, identifying where human judgement, data, automation and intelligent capabilities should interact differently
• Build and prioritise a portfolio of AI opportunities, assessing business relevance, expected value, feasibility, adoption, risk, data readiness and operating-model impact
• Develop clear value cases and success measures, establishing baselines, expected benefits, assumptions, dependencies and KPIs, with finance specialists where detailed modelling is needed
• Translate selected opportunities into actionable business definitions: problem statements, process requirements, decision logic, user needs, acceptance criteria and intended outcomes
• Create adoption and operating-model roadmaps, covering the changes in roles, processes, decision rights, ways of working and human oversight that intelligent capabilities require
• Guide multidisciplinary delivery teams on business context and priorities, working with Forward Deployed Engineers, architects, AI, Software and Data Engineers and AI Governance specialists without taking over their decision rights
• Review business outcomes through delivery and adoption, using agreed KPIs and operational evidence to decide whether an initiative should continue, change direction, expand or stop

• Degree in Business, Economics, Engineering or a related field, or equivalent professional experience
• Typically 8+ years of deep expertise in the industry, with practical understanding of its processes, decisions, performance drivers and constraints
• Strong experience in business consulting, industry consulting, transformation, operational improvement, product or service strategy, or a comparable client-side role
• Confidence engaging senior business stakeholders while working closely with operational teams and subject-matter experts
• Availability for monthly travel to Lisbon or Madrid
• Professional fluency in Portuguese, Spanish and English, written and spoken
• Demonstrated ability to lead business discovery and problem framing, moving from an ambiguous request to a clear understanding of the underlying challenge
• Experience designing or redesigning business processes, decision flows, operating models or customer and employee journeys
• Strong ability to prioritise opportunities and define measurable outcomes, including KPIs, baselines, expected benefits and evidence of value
• Practical understanding of GenAI, agents, RAG, automation, analytics and enterprise AI, sufficient to identify credible opportunities and work with technical specialists
• Experience producing use-case portfolios, prioritisation frameworks, value cases, process redesigns, adoption roadmaps, KPI models or business requirements
• Ability to structure a business value case, working with finance or business specialists on detailed financial modelling
• Experience facilitating executive workshops, discovery sessions and prioritisation forums
• Experience supporting organisational adoption, including changes to roles, processes, decision rights, governance or ways of working

• Experience supporting pre-sales discovery or opportunity shaping, without direct commercial ownership
• Experience with AI operating-model or Human in Command design
• Experience with value-realisation or benefits-management frameworks
• Experience in regulated or operationally complex environments
• Experience with enterprise data, analytics or automation programmes before the current generation of AI
• Experience creating reusable industry use-case libraries, KPI frameworks or consulting methodologies
• Experience mentoring consultants, leading advisory workstreams, or working on international projects

• Compensation: €60k to €85k gross per year
• Competitive salary aligned with your experience and the data market
• Meal allowance: €10.20/day
• Flexible benefits plan
• Private medical insurance
• 22 days of annual leave, increasing every 3 years (up to 25 days)
• Continuous learning via KLX – Keyrus Learning Experience
• A collaborative, international, and human-centred work environment

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.