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AI and Data Strategist
Grade: Manager
Position Overview
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
1. Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
2. Communicate current global thinking and trends in the AI, Automation and Data space including within EY.
3. 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
4. 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
5. Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation)
6. Support in the leading of cross-functional workshops and design sessions with senior stakeholders to align diverse stakeholder groups around a unified AI vision
7. Present complex AI/agentic concepts and recommendations to senior leadership audiences
8. Support the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness
9. Contribute to solution development of high impact bid responses and proposal for AI led transformation
10. Drive change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (, GDPR, AI Act), and risk mitigation frameworks.
Essential Qualifications
11. STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
12. Certifications in relevant areas (, cloud platforms, data governance, AI ethics, automation technologies)
Essential Criteria
13. Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations
14. Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
15. Experience in designing operating models and organiszational structures for data and AI functions
16. Experience of working with client organisations to write business or investment cases
17. Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation
18. Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA
19. Knowledge of AI governance frameworks, model risk management, and regulatory requirements
20. Strategic thinking with demonstrated ability to translate complex technical concepts into business language
Soft Skills
21. Team leadership and coaching skills
22. Proven communication, storytelling and presentation skills
23. Proven stakeholder management skills with excellent facilitation and workshop design capabilities including ability to influence senior stakeholders
24. Proven ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists)
25. Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment
26. Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value
Preferred Criteria
27. Experience with Big 4 consulting methodologies and framework
AI&Data2026
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.