EY Manager AI Data Strategist UKI 

United Kingdom, England, London 

598384337

Your impact

• Define comprehensive AI and data strategies tailored to client organizations 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 use cases, to drive revenue growth, operational efficiency, and competitive differentiation
• Assess organizational AI maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy

• Define high-level business and technology architectures that enable scalable AI deployment

• Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision
• Present complex AI concepts and recommendations to board-level audiences

• Prioritize AI initiatives based on strategic value, feasibility, and organizational readiness

Experience

• Stong experience in AI/ML strategy, data strategy, or digital transformation consulting
• Proven track record of delivering enterprise-level AI strategies for Fortune 500 or equivalent organizations
• Deep expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
• Experience in designing operating models and organizational structures for data and AI functions

• Strong understanding of AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP
• Knowledge of modern data architectures, cloud platforms, and AI infrastructure
• Familiarity with AI governance frameworks, model risk management, and regulatory requirements

• Strategic thinking with demonstrated ability to translate complex technical concepts into business language

• Proven communication and presentation skills.
• Proven stakeholder management skills with excellent facilitation and workshop design capabilities

Preferred Qualifications

• MBA or advanced degree in Computer Science, Data Science, Engineering, or related field
• Certification in relevant areas (e.g., cloud platforms, data governance, AI ethics)
• Experience with Big 4 consulting methodologies and framework
• Continuous learning mindset to stay ahead of rapidly evolving AI landscape