Managing Consultant/Senior Manager – Data & AI Architecture

Overview

In this role you shape AI-driven enterprise transformation for a global consultancy. You design and deliver GenAI-enabled data platforms and transformation roadmaps, aligning AI capabilities with business value. You’ll work across strategy, architecture and delivery to modernise legacy environments and enable enterprise-wide AI adoption. You’ll engage senior stakeholders and contribute to thought leadership while driving cross-functional impact.

Pay / Benefits

• bonus
• benefits
• hybrid work
• remote-friendly
• occasional travel
• salary 90,000–110,000

Responsibilities

• Lead the design of AI-enabled data platforms across AWS, Azure, and GCP with scalable, self-optimising architectures
• Shape and deliver AI strategy and transformation roadmaps for enterprise-wide GenAI adoption
• Architect intelligent cloud and hybrid ecosystems to modernise legacy data environments
• Design and implement agentic AI workflows, LLM-based applications, and decision intelligence platforms
• Drive automation through DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation)
• Develop enterprise data and AI architecture blueprints aligned with TOGAF and DAMA
• Engage with senior stakeholders and translate AI concepts into actionable business outcomes
• Contribute to business development, thought leadership, and internal innovation initiatives

Key requirements

• 10+ years’ experience in data, analytics, AI, or enterprise architecture
• Strong consulting background delivering technology and AI transformation programmes
• Deep understanding of AI, machine learning, GenAI, and cloud data platforms
• Experience with AWS, Azure, or GCP
• Strong knowledge of data architecture, DevOps, and automation tooling
• Experience engaging with senior stakeholders and C-level audiences
• Proven ability to design and deliver end-to-end AI or data strategies and roadmaps

• stakeholder management
• clear communication of complex AI concepts
• thought leadership and client-facing influence
• AWS, Azure, GCP
• Data architecture
• DevOps

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