Role Overview

We are looking for a specialist with strong experience in enterprise technology infrastructure and data center strategy, including candidates who have planned and built AI data centers. The ideal candidate combines technical depth with a consulting mindset - able to understand how infrastructure integrates with data and business applications, design fit-for-purpose solutions for traditional and AI workloads, navigate the vendor ecosystem, and evaluate cost, usage, compliance, and sustainability implications to support strategic client decisions.

Key Responsibilities

·  Lead client engagements focused on enterprise infrastructure, data center strategy, AI data center planning, and infrastructure transformation.

·  Assess current-state infrastructure environments and shape target-state architectures and transformation roadmaps.

·  Design the next generation infrastructure that enables AI adoption based on vision, use cases, security and operational needs

·  Assess how compute, storage, network, platform, and infrastructure architecture components integrate with data and business applications.

·  Evaluate infrastructure technologies, platforms, and solution options across relevant vendors and ecosystem partners.

·  Assess infrastructure usage, capacity, and cost drivers and identify opportunities for AI optimization.

·  Develop recommendations and business cases that balance technical fit, commercial considerations, implementation feasibility, data compliance, and sustainability goals.

·  Facilitate client workshops and translate technical concepts into clear recommendations for technology and business stakeholders.

·  Own workstreams end-to-end, manage deliverables and client relationships, and coach junior team members

Required Experience & Capabilities

·  8-12 years of experience in enterprise infrastructure consulting, technology strategy, infrastructure architecture, data center strategy, or a closely related field.

·  Strong understanding of enterprise technology infrastructure and data center environments, including compute, storage, networking, platform, and architecture components.

·  Experience designing or evaluating end-to-end infrastructure solutions for large enterprises, including next-generation infrastructure suitable for AI workloads.

·  Ability to connect infrastructure architecture with data and business applications, and to assess the trade-offs between public cloud, on-premises, and hybrid / colocation environments.

·  Good understanding of major infrastructure vendors and the broader technology ecosystem, with the ability to track relevant market and technology trends.

·  Ability to connect infrastructure usage and architecture decisions to cost, value, compliance, sustainability, and commercial implications.

·  Strong structured problem-solving, stakeholder management, communication, and presentation skills.

·  Demonstrated ability to lead teams and manage client-facing workstreams at a senior level.

Preferred Experience

·  Data center strategy and consolidation

·  Cloud or hybrid infrastructure strategy and transformation.

·  Infrastructure cost optimization, capacity planning, or commercial model assessment.

·  Technology vendor assessment, solution selection, or RFP / sourcing support.

·  Enterprise architecture or infrastructure roadmap development.

·  Experience in a consulting or systems integration environment serving large enterprise clients.

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