AI and Data Strategist

Grade: Senior Manager

Position Overview

We are seeking an exceptional Senior Manager level AI and Data Strategist to lead a team, shape and deliver enterprise-wide 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

• Lead a team 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
• Bring current global thinking and trends in the AI, Automation and Data space including within EY.
• Lead the 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
• Lead on assessing 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
• Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation)
• Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision
• Present complex AI concepts and recommendations to board-level audiences
• Prioritise AI initiatives based on strategic value, feasibility, and organiszational readiness
• Lead solution development of high impact bid responses and proposal for AI led transformation
• Build and coach a team of AI strategy consultants and develop reusable assets
• AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks.
• Drive internal processes to approve designs and proposals that have integrity and are commercially sound

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 CriteriaExperience
• Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations
• Deep expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
• Able to lead the design of operating models and organisational structures for data and AI functions
• Able to lead the interaction with client organisations to write business or investment cases
• Strong understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP
• Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA
• Deep knowledge of AI governance frameworks, model risk management, and regulatory requirements

Soft Skills

• Strong team leadership and coaching skills
• Proven communication 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 Qualifications Criteria

• Experience with Big 4 consulting methodologies and framework