Technical Delivery Manager
2 weeks ago
**Key Responsibilities
- Participate in end-to-end projects for system implementation of KYC and Artificial Intelligence/Machine Learning related system integration with other AML systems
- Lead pre-project planning activities for technical delivery and contribute to architecture and functional specification, delivery plan, technical design, cost estimation, and resource plan
- Communicate complex technical solution to other GTO teams and business users in layman’s terms
- Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards
- Plan technical deliverables, perform design and development works to meet project’s requirements within schedule
- Provide status update related to technical delivery and escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions
- Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested
- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
- Manage project change request approval windows and deployment schedule
- Facilitate and provide technical and testing support before and after production deployment
- Liaise with other units across IT and Business in the organization
- Manage external vendors for project delivery within schedule
**Key Requirements**
Must Have
- More than 12 years of working experiences in IT industry
- More than 8 years of experiences in technical project management
- At least 8 years of experience / knowledge in Unix Shell Scripting, Oracle, Java
- At least 8 years of experience in system and software design and UI/UX design
- Ability to multitask effectively and handle large amounts of data
- Highly driven, pro-active and a strong team player
- Excellent interpersonal skills and written and verbal communication skills in English
Good to Have
- Preferably experiences implementing or managing AI/ML related project
- Experience in Hadoop ecosystem and technologies
- Experience in NoSQL database or Big Data
- Experience in Control-M, Git, Jenkins, JIRA
- Experience in SharePoint and Confluence
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