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AI and Data Strategist
Grade: Senior Manager
Position Overview
We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise.
Your client impact
1. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
2. Bring current global thinking and trends in the AI, Automation and Data space including within EY.
3. Carry out 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
4. Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy
5. Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation)
6. Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision
7. Present complex AI concepts and recommendations to senior leadership audiences
8. Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness
9. Contribute to solution development and oversee quality of proposals for AI-led transformation
10. Provide mentorship and guidance to team members and develop reusable assets
11. Support 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.
12. Support internal processes to approve designs and proposals that have integrity and are commercially sound
Essential Qualifications
13. STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
Essential Criteria
14. Demonstrated experience of delivering enterprise-level AI strategies for complex or multinational organisations
15. Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
16. Able to oversee the design of operating models and organisational structures for data and AI functions
17. Able to lead the interaction with client organisations to write business or investment cases
18. Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP
19. Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA
20. Knowledge of AI governance frameworks, model risk management, and regulatory requirements
Soft Skills
21. Team leadership and coaching skills
22. Communication and presentation skills.
23. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders
24. Demonstrated 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
Preferred Qualification
28. Certifications in relevant areas (, cloud platforms, data governance, AI ethics, automation technologies)
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.