The 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.

The ideal candidate combines expertise in business process transformation, digital strategy, enterprise architecture, data and AI technologies, and change management.

Key Responsibilities

AI Strategy & Business Transformation

Develop and drive AI transformation roadmaps aligned with corporate strategy.

Identify high-value AI and Generative AI use cases across business functions.

Define business capabilities, target operating models, and AI adoption strategies.

Prioritize AI initiatives based on business value, feasibility, and risk.

Business Architecture

Analyze current-state business processes, capabilities, and customer journeys.

Design future-state business architectures incorporating AI-enabled workflows.

Map AI opportunities to business capabilities and strategic objectives.

Create business capability models, process architectures, and value streams.

Solution Design & Innovation

Collaborate with Enterprise Architects, Data Scientists, and Product Teams to translate business needs into AI solutions.

Define AI use cases, requirements, success metrics, and business outcomes.

Support the design of Generative AI, Machine Learning, Intelligent Automation, and Conversational AI solutions.

Ensure scalability, security, compliance, and responsible AI principles.

Stakeholder Management





Partner with executives and business leaders to identify transformation opportunities.

Facilitate workshops and design-thinking sessions.

Communicate complex AI concepts in business-friendly language.

Build executive-level business cases and investment proposals.

Value Realization

Define KPIs, ROI models, and benefits realization frameworks.

Track business outcomes and adoption metrics.

Recommend optimization opportunities based on data-driven insights.

Drive continuous improvement and AI maturity growth.

Governance & Risk Management

Support AI governance frameworks and responsible AI initiatives.

Ensure compliance with regulatory, privacy, and security requirements.

Assess ethical implications and business risks associated with AI deployment.

Establish standards and best practices for AI adoption.

Required Qualifications & Experience

Education

Bachelor's degree in Business, Engineering, Computer Science, Information Systems, or related field.

MBA preferred.

Experience

10+ years of experience in Business Architecture, Digital Transformation, Enterprise Architecture, Strategy Consulting, Product Management, or related fields.

3+ years of experience working with AI, Machine Learning, Generative AI, Analytics, or Automation initiatives.

Experience leading enterprise transformation programs.

Technical Knowledge

AI/ML concepts and business applications.

Generative AI platforms (OpenAI,



Azure OpenAI, Microsoft Copilot, Google Gemini, AWS Bedrock).

Data and analytics platforms.

Process automation technologies.

Cloud platforms (Azure, AWS, GCP).

Enterprise architecture frameworks (TOGAF, Zachman, Business Capability Modeling).

Preferred Skills-

Business Skills

Strategic Planning

Business Process Design

Value Stream Mapping

Operating Model Design

Financial Analysis & ROI Modeling

Change Management

Executive Communication

AI & Technology Skills

Generative AI

Machine Learning Fundamentals

AI Governance

Data Strategy

Intelligent Automation

Prompt Engineering

Digital Product Management

Leadership Skills

Cross-functional leadership

Stakeholder influence

Program management

Workshop facilitation

Innovation mindset

Key Deliverables

AI Strategy Roadmap

Business Capability Maps

Future-State Operating Models

AI Use Case Portfolio

Business Cases and ROI Assessments

Executive Steering Committee Updates

AI Governance Frameworks

Benefits Realization Reports

Success Metrics

AI adoption rate across business functions

Cost reduction and productivity gains

Revenue growth from AI-enabled opportunities

Customer experience improvements

Time-to-market reduction

ROI and business value realization

Employee adoption and satisfaction

Adecuado Candidate Profile

A 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.

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