(INV) Senior Consultant, AI & Data, Data Strategist, TC UKI

AI and Data Strategist

Grade: Senior Consultant

Position Overview

We are seeking an experienced AI and Data Strategy Senior Consultant 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 operate as part of a team to translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise.

Your client impact

• Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
• Support 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
• Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as 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)

• Support EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision
• Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences

• Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness

Contribute to solution development of high impact bid responses and proposal for AI led transformation

Essential Qualifications

• STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
• Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)

Essential Criteria

• Experience of contributing to enterprise-level AI strategies for complex or multinational organisations
• Familiarity with the design of operating models and organisational structures for data and AI functions
• Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation
• Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA
• Familiarity with AI governance frameworks, model risk management, and regulatory requirements

Soft Skills

• Communication, storytelling and presentation skills

• Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders
• Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists)
• Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment
• Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value

Preferred Criteria

• Sector or domain experience in at least one of the following areas
• Sector:  consumer products, retail, healthcare, energy, or life sciences
• Domain: Finance, Supply Chain, Commercial