Cyber Cloud, Data and AI Enterprise Architect

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.

Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.

Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.

About the role

The Cyber Cloud, Data and AI Enterprise Architect is a senior technical role responsible for developing, maintaining, and governing the organization’s enterprise-wide cybersecurity architecture for cloud, data, and AI environments. This position ensures that cloud, data, and AI security strategies, frameworks, and solutions align with business objectives, effectively mitigate risks, support regulatory compliance, and enable secure adoption of cloud platforms, data analytics, and artificial intelligence technologies across the enterprise. The role requires strong product selection skills with deep expertise in cloud security, data protection, and AI security architectures.

Role Responsibilities

- Develop and maintain the enterprise cybersecurity architecture strategy, frameworks, standards, patterns, and roadmaps specifically for cloud, data, and AI environments.

- Provide expert technical leadership and guidance on cloud, data, and AI cybersecurity architecture for IT projects, systems, and strategic initiatives.

- Collaborate with business leaders, IT teams, data and AI teams, and key stakeholders to align cloud, data, and AI security architecture with organisational goals and risk appetite.

- Lead the evaluation, selection, and recommendation of cybersecurity solutions for cloud platforms, data environments, and AI systems, including cloud-native security controls, data protection technologies, and AI-specific security measures.

- Establish and enforce cloud, data, and AI architecture governance processes, including architecture review boards and compliance with defined standards.