Senior AI Cloud Platform Lead strong experience in cloud platform
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Key skills for this role
About the Role
We are seeking a Senior AI Cloud Platform Lead to drive delivery, governance, and operational excellence of enterprise AI and cloud platform initiatives for a banking client in Abu Dhabi.
Key Skills for This Role
Responsibilities
- Lead the end to end delivery of AI and cloud platform initiatives across multiple teams and business units
- Translate business requirements into structured technical deliverables, user stories, epics, and implementation plans
- Define priorities, ownership, dependencies, and delivery timelines for engineering teams
- Drive execution through agile methodologies and delivery frameworks
- Ensure platform initiatives are delivered on time, within scope, and aligned with business objectives
- Establish governance frameworks to monitor progress, risks, and delivery outcomes
- Support the development and execution of enterprise AI and cloud platform strategies
- Collaborate with architects and engineering teams to design scalable, secure, and resilient cloud native solutions
- Enable adoption of AI/ML platforms, MLOps frameworks, and enterprise data services
- Evaluate emerging technologies and recommend improvements to platform capabilities
- Ensure platform scalability, reliability, and operational excellence
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
- 10+ years of IT experience with at least 5 years in cloud platform leadership or technical delivery management roles
- Strong experience managing enterprise scale cloud transformation initiatives
- Proven experience translating business requirements into technical execution plans
- Hands on understanding of AI/ML platforms and cloud native architectures
- Strong knowledge of Agile, Scrum, Kanban, and delivery management frameworks
- Expertise in delivery and collaboration tools such as Jira, Confluence, Azure DevOps, ServiceNow
Full Job Posting
Job Summary
- We are seeking an experienced Senior AI Cloud Platform Lead to drive the delivery, governance, and operational excellence of enterprise AI and cloud platform initiatives.
- This role serves as the bridge between business stakeholders and engineering teams, translating strategic objectives and business requirements into actionable technical workstreams.
Key Responsibilities
- Lead the end to end delivery of AI and cloud platform initiatives across multiple teams and business units.
- Translate business requirements into structured technical deliverables, user stories, epics, and implementation plans.
- Define priorities, ownership, dependencies, and delivery timelines for engineering teams.
- Drive execution through agile methodologies and delivery frameworks.
- Ensure platform initiatives are delivered on time, within scope, and aligned with business objectives.
- Establish governance frameworks to monitor progress, risks, and delivery outcomes.
- Support the development and execution of enterprise AI and cloud platform strategies.
- Collaborate with architects and engineering teams to design scalable, secure, and resilient cloud native solutions.
- Enable adoption of AI/ML platforms, MLOps frameworks, and enterprise data services.
- Evaluate emerging technologies and recommend improvements to platform capabilities.
- Ensure platform scalability, reliability, and operational excellence.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- 10+ years of IT experience with at least 5 years in cloud platform leadership or technical delivery management roles.
- Strong experience managing enterprise scale cloud transformation initiatives.
- Proven experience translating business requirements into technical execution plans.
- Hands on understanding of AI/ML platforms and cloud native architectures.
- Strong knowledge of Agile, Scrum, Kanban, and delivery management frameworks.
- Expertise in delivery and collaboration tools such as Jira, Confluence, Azure DevOps, ServiceNow.
Technical Skills
- Cloud Platforms: Microsoft Azure, Amazon Web Services (AWS)
- AI & Data Platforms: AI/ML platforms, MLOps frameworks, Data engineering ecosystems, Model deployment and governance
- Platform Engineering: Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation)
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