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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.
Impact you deliver for our clients
1. Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
2. 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
3. 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
4. Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation)
5. Lead cross-functional workshops and design sessions with senior stakeholders to align diverse stakeholder groups around a unified AI vision
6. Present complex AI/agentic concepts and recommendations to senior leadership audiences
7. Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness
8. 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 Criteria
9. Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations
10. Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation
11. Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure
12. Familiarity with AI governance frameworks, model risk management, and regulatory requirements
Soft Skills
13. Proven communication, storytelling and presentation skills
14. Proven stakeholder management skills with excellent facilitation and workshop design capabilities including ability to influence senior stakeholders
15. Proven ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists)
16. Continuous learning mindset to stay ahead of rapidly evolving AI landscape
17. Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value
Desirable criteria
18. Deep sector or domain expertise in at least one of the following areas
19. Sector: consumer products, retail, healthcare, energy, or life sciences
20. Domain: Finance, Supply Chain, Commercial
21. Experience in designing operating models and organisational structures for data and AI, data and automation functions
Desirable Qualifications
22. STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
23. Certifications in relevant areas (, cloud platforms, data governance, AI ethics, automation technologies)
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.