Manager, AI & Data, Data Strategist, TC UKI
Role details
Job location
Tech stack
Job description
We are seeking an experienced AI and Data Strategy Manager 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.
Your client impact
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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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Communicate current global thinking and trends in the AI, Automation and Data space including within EY.
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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
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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
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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 in the leading of cross-functional workshops and design sessions with senior stakeholders to align diverse stakeholder groups around a unified AI vision
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Present complex AI/agentic concepts and recommendations to senior leadership audiences
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Support 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
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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.
Requirements
- 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), * Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations
- Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
- Experience in designing operating models and organiszational structures for data and AI functions
- Experience of working with client organisations to write business or investment cases
- Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation
- Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA
- Knowledge of AI governance frameworks, model risk management, and regulatory requirements
- Strategic thinking with demonstrated ability to translate complex technical concepts into business language
Soft Skills
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Team leadership and coaching skills
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Proven communication, storytelling and presentation skills
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Proven stakeholder management skills with excellent facilitation and workshop design capabilities including ability to influence senior stakeholders
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Proven ability to collaborate in 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 demonstrated ability to translate complex technical concepts into business language and explain how they drive business value
Preferred Criteria
- Experience with Big 4 consulting methodologies and framework
AI&Data2026