Overview
In this role you will design scalable data, analytics and AI architectures and lead cloud transformation programs across AWS, Azure and GCP. You will build AI-enabled solutions and MVPs, define enterprise data/AI strategies, and drive automation through DevOps and IaC. You will engage with senior stakeholders to shape strategy and deliver transformational outcomes, working within a Data & AI practice at a leading global consultancy. This is a chance to influence AI and data platforms at scale in enterprise environments.
Pay / Benefits
- Hybrid work model
- Bonus potential
- Excellent benefits
- Career development opportunities
Responsibilities
- Design scalable, secure, cost-effective data, analytics and AI architectures
- Lead cloud transformation initiatives across AWS, Azure and GCP
- Develop AI-enabled solutions, PoCs and MVPs delivering business value
- Define enterprise data and AI strategies, governance and roadmaps
- Drive automation with DevOps, CI/CD and Infrastructure-as-Code
- Engage with senior stakeholders to shape strategy and deliver outcomes
- Support business development activities, proposals and thought leadership initiatives
Key requirements
- Strong cloud architecture experience across AWS, Azure and/or GCP
- Experience with cloud-native technologies (containers, Kubernetes, serverless)
- Infrastructure-as-Code, DevOps and CI/CD automation
- Solid consulting background with stakeholder management
- Solid understanding of data, analytics and AI technologies
- Excellent analytical, problem-solving and communication skills
- Stakeholder management
- Communication
- Problem solving
- Cloud architectures (AWS, Azure, GCP)
- Cloud-native technologies (containers, Kubernetes, serverless)
- Infrastructure-as-Code
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