EY Manager AI & Data Strategist TC UKI 

United Kingdom, England, Manchester 

172711227

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
• Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure
• Familiarity with AI governance frameworks, model risk management, and regulatory requirements

Soft Skills

• Proven communication, storytelling and presentation skills

• Proven stakeholder management skills with excellent facilitation and workshop design capabilities including ability to influence senior stakeholders
• Proven ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists)
• Continuous learning mindset to stay ahead of rapidly evolving AI landscape
• Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value

Desirable criteria

• Deep sector or domain expertise in at least one of the following areas
• Sector: consumer products, retail, healthcare, energy, or life sciences
• Domain: Finance, Supply Chain, Commercial
• Experience in designing operating models and organisational structures for data and AI, data and automation functions

Desirable 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)