Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
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)
Lead 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
Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness
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 Criteria
Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations
Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation
Soft Skills
Proven communication, storytelling and presentation skills
Continuous learning mindset to stay ahead of rapidly evolving AI landscape