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Enterprise Architect – Artificial Intelligence
Computacenter. Define and govern enterprise architecture for Artificial Intelligence across Computacenter .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and governing enterprise architecture for Artificial Intelligence, with a strong focus on shaping AI roadmaps, governance frameworks, and integrating AI capabilities across various platforms. Possesses exceptional stakeholder management and communication skills to influence AI adoption decisions and drive business outcomes.
Highest-signal resume keywords
Enterprise Architecture ExperienceAI Governance FrameworksMicrosoft 365 Copilot KnowledgeGenerative AI ExpertiseStakeholder Management Skills
ATS Keywords
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Hard Skills
Enterprise ArchitectureAI Roadmap DevelopmentGenerative AIMachine LearningIntelligent AutomationKnowledge ManagementData-Driven ArchitecturesAI IntegrationGovernance StandardsRisk Management
Soft Skills
Stakeholder ManagementExecutive CommunicationNegotiation SkillsInfluencing SkillsCoaching Skills
Tools & Technologies
Microsoft CopilotAzure AI FoundryServiceNowSalesforceSAPGenesysPower PlatformLeanIXArdoqBizzdesign
Certifications & Qualifications
TOGAFCISSPAzure Solutions Architect ExpertAzure AI Engineer AssociateSAFe
Industry Keywords
AI AdoptionDigital Workplace TransformationResponsible AI PrinciplesNIST AI RMFISO 42001ISO 27001DevSecOpsFinOpsArchiMateSAFe
Tech Stack
Tools & technologiesAzureCloudServiceNow
About the role
Key responsibilities & impact- Define and govern enterprise architecture for Artificial Intelligence across Computacenter
- Shape AI roadmaps, principles, controls and transformation plans aligned with business outcomes, customer value and organisational change
- Influence business and technology stakeholders on AI adoption decisions, balancing innovation, risk, cost, speed and measurable value
- Define strategic architecture for generative AI, agentic AI, machine learning, intelligent automation, knowledge management, customer experience and digital workplace transformation
- Create and evolve AI governance frameworks, standards and guardrails for secure, ethical, scalable and commercially sustainable adoption
- Collaborate with product, solution architecture and delivery teams to ensure AI-enabled solutions are viable and secure by design
- Translate AI strategy into platform choices, operating model changes, investment priorities and delivery roadmaps
- Integrate AI capabilities across Microsoft Copilot, Azure AI Foundry, ServiceNow, Salesforce, SAP, Genesys, Fabric and Power Platform
- Lead architecture governance and assurance for AI-related change, including data usage, security, ethics and risk decisions
- Provide thought leadership, architectural decision-making and practical guidance on responsible AI adoption
- Contribute to CTO practice development through EA tooling, reusable AI patterns, reference architectures and decision artefacts
- Maintain awareness of AI, data, platform, security and regulatory trends and educate leaders on opportunities and risks
Requirements
What you’ll need- Proven enterprise architecture experience across business capability modelling, roadmaps, principles, standards, governance and technology strategy
- Deep understanding of AI and data-driven architectures, including generative AI, agentic AI, machine learning, intelligent automation and knowledge management
- Experience shaping AI roadmaps, governance frameworks, controls and transformation plans aligned to business outcomes and risk appetite
- Strong knowledge of Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Fabric and Power Platform
- Practical experience integrating AI capabilities across SAP, Salesforce, ServiceNow and Genesys
- Knowledge of TOGAF, ArchiMate, SAFe, ITIL, FinOps, DevSecOps, Responsible AI principles, NIST AI RMF, ISO 42001 and ISO 27001
- Experience with LeanIX, Ardoq, Bizzdesign, ArchiMate or Sparx EA
- Relevant professional accreditations desirable, such as TOGAF, CISSP, Azure Solutions Architect Expert, Azure AI Engineer Associate, Microsoft Applied Skills for Azure AI and Copilot technologies, SAFe and major cloud architecture certifications
- Ability to translate complex technical AI concepts into clear business outcomes
- Exceptional stakeholder management, executive communication, facilitation, negotiation, influencing and commercial awareness
- Strong influencing, coaching and facilitation skills across business, technology, product, data, security and vendor teams
- Intellectual curiosity, technology breadth, commercial awareness and credibility with senior leaders and technical specialists
Benefits
Comp & perks- Friendly, open working environment
- Teamwork and performance culture
- Community-oriented workplace
- Professional growth and development opportunities implied by continuous learning and education