Senior Data and AI Architecture and Platform Lead

Overview

In this role you lead the design and delivery of a scalable, secure data and analytics platform that serves as the enterprise’s single source of truth. You empower cross-functional teams with real-time insights to drive smarter decisions and business impact. You will shape the Azure-based data and AI ecosystem, ensuring governance, security, and scalability while championing data modernisation at scale. This is a hands-on leadership opportunity to steer strategic data initiatives in a global energy company.

Responsibilities

• Own the target-state data architecture and Azure data/AI platform direction
• Lead architecture decisions, standards and designs with IT, security, and vendors
• Manage the Azure data/AI platform and architecture team and external vendors
• Set architectural standards, guardrails, security and privacy in line with regulations
• Own integration patterns for data and AI and onboarding across sources
• Define strategy and roadmaps for data/AI platform, address technical debt and tooling
• Coach data/AI architects, engineers, and analytics engineers on best practices
• Partner with AI/ML stakeholders to align platform capabilities with needs
• Ensure data/AI is accessible to services and informs decision-making
• Influence organisational strategy through robust evidence and insight

Key requirements

• Deep and significant experience in global data and AI architecture
• TOGAF certification (preferred) or demonstrable enterprise data/AI architecture experience
• Strong cloud data/AI architecture experience
• Understanding of AI/semantic and dimensional modelling within enterprise architecture
• Experience with AI/ML platform requirements
• Excellent communication, influencing and stakeholder management skills
• Ability to translate complex data into insights for non-technical audiences
• Ability to work independently, manage priorities and lead through change
• Hands-on guidance to delivery and data teams across architectures
• Commitment to ethical data use and governance
• Executive-level briefing and governance of data/AI programs
• UK work rights without sponsorship

• Effective communication
• Stakeholder engagement
• Strategic thinking
• Azure cloud platform
• Azure data services
• Microsoft Fabric data and AI foundations

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