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EY Senior Consultant AI & Data Strategist TC UKI 
United Kingdom, England, Manchester 
597903581

Yesterday

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

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 infrastructureincluding 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 landscapeand strategies for deployment
  • Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value

Preferred Criteria

  • Exposure to at least one of the following domains and/or sectors:
    • Sector: consumer products, retail, healthcare, energy, or life sciences
    • Domain: Finance, Supply Chain, Commercial
  • Experience with Big 4 consulting methodologies and framework

Preferred Qualifications

  • Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)