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

• Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
• Communicate current global thinking and trends in the AI, Automation and Data space including within EY.
• 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)

• Support in the leading of 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

• Support 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
• 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 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)

Essential Criteria

• Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations
• Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
• Experience in designing operating models and organis
  z
  ational structures for data and AI functions
• Experience of working with client organisations to write business or investment cases
• 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 including DAMA
• Knowledge of AI governance frameworks, model risk management, and regulatory requirements
• Strategic thinking with demonstrated ability to translate complex technical concepts into business language

Soft Skills

• Team leadership and coaching 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 and strategies for deployment
• Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value

Preferred Criteria

• Experience with Big 4 consulting methodologies and framework

AI&Data2026