ppThe AI Business Architect is responsible for identifying, designing, and enabling AI-driven business transformations that deliver measurable business outcomes. This role serves as the link between business stakeholders, technology teams, data scientists, and enterprise architects to ensure AI solutions align with strategic objectives, operational needs, and governance requirements. /p pThe idóneo candidate combines expertise in business process transformation, digital strategy, enterprise architecture, data and AI technologies, and change management. /p h3Key Responsibilities /h3 h3AI Strategy Business Transformation /h3 ul liDevelop and drive AI transformation roadmaps aligned with corporate strategy. /li liIdentify high-value AI and Generative AI use cases across business functions. /li liDefine business capabilities, target operating models, and AI adoption strategies. /li liPrioritize AI initiatives based on business value, feasibility, and risk. /li /ul h3Business Architecture /h3 ul liAnalyze current-state business processes, capabilities, and customer journeys. /li liDesign future-state business architectures incorporating AI-enabled workflows. /li liMap AI opportunities to business capabilities and strategic objectives. /li liCreate business capability models, process architectures, and value streams. /li /ul h3Solution Design Innovation /h3 ul liCollaborate with Enterprise Architects, Data Scientists, and Product Teams to translate business needs into AI solutions. /li liDefine AI use cases, requirements, success metrics, and business outcomes. /li liSupport the design of Generative AI, Machine Learning, Intelligent Automation, and Conversational AI solutions. /li liEnsure scalability, security, compliance, and responsible AI principles. /li /ul h3Stakeholder Management /h3 ul liPartner with executives and business leaders to identify transformation opportunities.



/li liFacilitate workshops and design-thinking sessions. /li liCommunicate complex AI concepts in business-friendly language. /li liBuild executive-level business cases and investment proposals. /li /ul h3Value Realization /h3 ul liDefine KPIs, ROI models, and benefits realization frameworks. /li liTrack business outcomes and adoption metrics. /li liRecommend optimization opportunities based on data-driven insights. /li liDrive continuous improvement and AI maturity growth. /li /ul h3Governance Risk Management /h3 ul liSupport AI governance frameworks and responsible AI initiatives. /li liEnsure compliance with regulatory, privacy, and security requirements. /li liAssess ethical implications and business risks associated with AI deployment. /li liEstablish standards and best practices for AI adoption. /li /ul h3Required Qualifications Experience /h3 h3Education /h3 ul liBachelor's degree in Business, Engineering, Computer Science, Information Systems, or related field. /li liMBA preferred. /li /ul h3Experience /h3 ul li10+ years of experience in Business Architecture, Digital Transformation, Enterprise Architecture, Strategy Consulting, Product Management, or related fields. /li li3+ years of experience working with AI, Machine Learning, Generative AI, Analytics, or Automation initiatives. /li liExperience leading enterprise transformation programs. /li /ul h3Technical Knowledge /h3 ul liAI/ML concepts and business applications. /li liGenerative AI platforms (OpenAI, Azure OpenAI, Microsoft Copilot, Google Gemini, AWS Bedrock).



/li liData and analytics platforms. /li liProcess automation technologies. /li liCloud platforms (Azure, AWS, GCP). /li liEnterprise architecture frameworks (TOGAF, Zachman, Business Capability Modeling). /li /ul h3Preferred Skills- /h3 h3Business Skills /h3 ul liStrategic Planning /li liBusiness Process Design /li liValue Stream Mapping /li liOperating Model Design /li liFinancial Analysis ROI Modeling /li liChange Management /li liExecutive Communication /li /ul h3AI Technology Skills /h3 ul liGenerative AI /li liMachine Learning Fundamentals /li liAI Governance /li liData Strategy /li liIntelligent Automation /li liPrompt Engineering /li liDigital Product Management /li /ul h3Leadership Skills /h3 ul liCross-functional leadership /li liStakeholder influence /li liProgram management /li liWorkshop facilitation /li liInnovation mindset /li /ul h3Key Deliverables /h3 ul liAI Strategy Roadmap /li liBusiness Capability Maps /li liFuture-State Operating Models /li liAI Use Case Portfolio /li liBusiness Cases and ROI Assessments /li liExecutive Steering Committee Updates /liliAI Governance Frameworks /li liBenefits Realization Reports /li /ul h3Success Metrics /h3 ul liAI adoption rate across business functions /li liCost reduction and productivity gains /li liRevenue growth from AI-enabled opportunities /li liCustomer experience improvements /li liTime-to-market reduction /li liROI and business value realization /li liEmployee adoption and satisfaction /li /ul h3Ideal Candidate Profile /h3 pA successful AI Business Architect combines the strategic thinking of a management consultant, the business process expertise of a business architect, and the AI knowledge of a digital transformation leader. They can connect executive vision to practical AI implementation while ensuring measurable business value. /p /p #J-18808-Ljbffr

📌 Artificial Intelligence Business Architect (Barcelona)
🏢 HP
📍 Barcelona