Senior Consultant, AI & Data, Data Strategist, TC UKI
Role details
Job location
Tech stack
Job description
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
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Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
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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
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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
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Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation)
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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
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Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences
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Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness
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Contribute to solution development of high impact bid responses and proposal for AI led transformation
Requirements
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field, * 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
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Communication, storytelling and presentation skills
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Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders
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Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists)
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Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment
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Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value
Preferred Criteria
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Exposure to at least one of the following domains and/or sectors:
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Sector: consumer products, retail, healthcare, energy, or life sciences
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Domain: Finance, Supply Chain, Commercial
Experience with Big 4 consulting methodologies and framework, * Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
AI&Data2026