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Cloud and AI Strategy Manager

2 months ago

Singapore KPMG - Singapore Full time
Job Title: Cloud and AI Strategy Manager

About the Role:

As a Cloud and AI Strategy Manager at KPMG - Singapore, you will play a crucial role in helping organisations navigate the complexities of change and unlock the full value of transformation. You will chart out future-proof technology strategies that align with business goals, deliver cutting-edge solutions embracing emerging technologies, and assist organisations in identifying, assessing, and mitigating risks associated with their technology landscape.

Key Responsibilities:

  1. Engage with C-suite and IT leadership to define cloud/AI strategy, business case and operating model, develop governance frameworks to manage risks and controls related to cloud and AI
  2. Responsible for current state assessment, requirement definition, solution design, architecture blueprint, technology roadmap, development and deployment of Proof of Concept (PoC) and enterprise-grade technology solutions.
  3. Evaluate technology risks associated with cloud and AI, provide independent risk assessments and quality reviews of solution architectures, technology selection, implementation/migration plans, AI/ML models, etc.
  4. Lead business development and presales efforts, including developing technical and consulting proposals, creating presentations and publications, and influencing IT stakeholders' solution decisions or non-functional requirements.
  5. Collaborate with key technology alliances and professional service providers to evaluate and develop technology solutions and best practices.
  6. Stay up to date with the latest developments in cloud and AI technologies, market trends, and competitive insights; collaborate and share knowledge with the technical community, specifically in the cloud and AI space.
Requirements:

  1. Tertiary Qualification in Computer Science, Information Technology, Information Systems, Computer Engineering, Business, Mathematics, or related disciplines.
  2. Demonstrated experience in a client-facing solution architect or technical management role
  3. Proven track record in designing and implementing enterprise cloud infrastructure/application and AI/generative AI solutions to deliver business value which are secure, scalable, reliable and effective for adoption
  4. Experience with cloud migration, DevOps/DevSecOps, containerization, microservices architecture
  5. Demonstrated understanding of AI technologies and platforms such as machine learning, NLP, LLMs, and cloud-based AI services
  6. Familiarity with industry standards, regulations and best practices related to cloud and AI development and deployment
  7. Experience with presales or sales process, with ability to lead discussions with senior management level
  8. Strong client and stakeholder management abilities coupled with excellent communication, written, analytical, organisational and problem-solving skills
  9. Cloud professional certification such as Google Professional Cloud Architect, AWS Solution Architect, Azure Solutions Architect
  10. Experience in consulting, cloud/DevOps/AI strategy, business case and maturity assessment will be an added advantage
  11. Hands-on experience in Microsoft Azure Open AI or Google Gemini will be an added advantage
  12. Experience with Government Commercial Cloud (GCC) will be an added advantage