Application / Tech Delivery Manager (AI & Compliance Projects | 12-Month Contract | Banking Tech)

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading technology company in Singapore is looking for an experienced Application / Tech Delivery Manager for a 12-month contract role. You'll lead enterprise-scale technology projects in the banking sector, focusing on compliance technology. Candidates should have over 10 years of experience in project delivery and application management. This position involves managing high-impact initiatives and collaborating with various teams to ensure successful project outcomes.

Qualifications

• 10+ years in project, application, or technical delivery management.
• Proven experience in project management and risk management.
• Strong background in application architecture and system integration.

Responsibilities

• Lead end-to-end delivery of Machine Learning Suite (MLS) system implementations.
• Liaise with architecture and development teams to ensure compliance.
• Oversee development, mapping, and deployment planning.

Skills

Project management

Application architecture

Technical delivery management

Strong stakeholder communication

Leadership and accountability

Tools

JIRA

Python

Jenkins

Big Data tools

Job description

Application / Tech Delivery Manager (AI & Compliance Projects | 12-Month Contract | Banking Tech)

Employment Type:
Contract (12 months)

Work Location:
Alexandra, Singapore

Company:
NTT DATA Singapore

Client : A leading banking client.

ob Description:
We are seeking an experienced Application / Tech Delivery Manager to lead the successful delivery of enterprise-scale technology projects for a leading banking client .

This is a 12-month contract role based at Alexandra , ideal for candidates with 10+ years of experience in project delivery, system integration, architecture, and production support .

You will manage high-impact initiatives in the compliance technology space, including system delivery of AI/Machine Learning suites , and coordinate across application teams, infrastructure, vendors, and testing functions.

Key Responsibilities:

• Lead end-to-end delivery of Machine Learning Suite (MLS) system implementations
• Liaise with architecture, security, and development teams to ensure compliance with design standards
• Translate user and business requirements into solution design and documentation
• Oversee development, data/process mapping, deployment planning, and UAT coordination
• Conduct root cause analysis and support production stability
• Ensure timely execution of SIT/UAT/performance/security testing with respective teams
• Manage external vendors and delivery schedules
• Track risks, escalate issues, and propose resolutions
• Facilitate test support, change windows, and post-deployment validations
• Collaborate across units to drive cross-functional execution
• Maintain comprehensive documentation and ensure audit-readiness

Requirements:

• 10+ years in project, application, or technical delivery management roles
• Proven experience in project management, risk/issue/change/resource management
• Strong background in application architecture, system integration, and software design
• 8+ years in incident, production support and problem management
• Familiarity with networking, firewalls, encryption, SSO, and disaster recovery planning
• Excellent stakeholder communication and technical documentation skills
• Strong leadership, accountability, and ability to handle complex delivery streams

Good to Have:

• Experience in Machine Learning, Data Transformation, ETL
• Familiarity with Big Data (Hadoop, Kafka, NoSQL)
• Proficiency in Python, Spark, Scala, PySpark, shell scripting
• Tooling knowledge: JIRA, CICD, Bitbucket, Jenkins, Control-M, Artifactory
• Experience with SharePoint, Confluence, Remedy, and procurement management
  

Application Process:

To ensure the best fit for this role, we encourage applications from candidates who meet the must-have skills outlined above. If your experience aligns, we’d love to hear from you!

Interested candidates are kindly requested to email their CV with their experience to:

[e-mail]

We look forward to your application!