Senior Consultant, AI & Data, Data Strategist, TC UKI

Position Overview 

We are seeking an experienced Senior Consultant  AI and Data Strategy to help shape and deliver enterprise-wide AI transformation initiatives for clients across multiple industry sectors. This role requires a strategic business technologist who can translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. 

Impact you deliver for our clients 

• Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors 

• Conduct in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation 

• Assess organisational AI and data landscape maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy 

• Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) 

• Lead cross-functional workshops and design sessions with senior stakeholders to align diverse stakeholder groups around a unified AI vision 

• Present complex AI/agentic concepts and recommendations to senior leadership audiences 

• Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness 

• Drive change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. 

Essential Criteria 

• Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations 
• Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation 

Soft Skills  

• Proven communication, storytelling and presentation skills  

• Continuous learning mindset to stay ahead of rapidly evolving AI landscape