Delivery Manager

Maybank; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Job summary

A leading banking institution in Kuala Lumpur is seeking an experienced data operations leader. This role involves managing end-to-end operational delivery, ensuring data integrity, and leading a team focused on data processing. The ideal candidate will have over 10 years of experience in enterprise data operations and strong knowledge of ETL and cloud platforms. Responsibilities include monitoring data platforms, managing incidents, and driving operational excellence. This position offers a significant opportunity for leadership in a regulated environment.

Qualifications

• 10–12+ years in enterprise data operations or data engineering.
• 3–5 years in a team lead role.
• Experience in regulated environments.

Responsibilities

• Lead and manage BAU operations teams responsible for data processing.
• Ensure high availability and accuracy of data.
• Own root cause analysis and corrective actions.
• Maintain SLA reporting for regulatory timelines.
• Coordinate with teams and vendors for operational needs.
• Support change management and engage auditors.
• Manage performance and develop team capabilities.
• Drive automation and standardisation in operations.

Skills

Operational leadership

Incident management

Cross-team coordination

Analytical problem solving

Continuous improvement

Cloud readiness

Innovation mindset

Tools

Teradata

Informatica

Hadoop / CDP

AWS

Azure

Job description

Role Purpose

Accountable for the end-to-end operational delivery, availability, integrity, and timeliness of enterprise data across enterprise data platforms and their upstream and downstream ecosystems.

This role ensures that data pipelines, platforms, and operational processes function with bank-grade reliability, auditability, and service discipline, supporting regulatory reporting, business intelligence, analytics, and downstream operational systems, while progressively evolving toward cloud-native and modern data architectures.

Key Responsibilities

1. BAU Operations Leadership

• Lead and manage BAU operations teams responsible for daily, weekly, and month-end data processing.
• Design and manage shift rosters, handovers, on-call coverage, and workload distribution.
• Enforce disciplined execution of run books, SOPs, and control checklists.
• Validate recovery approaches during incidents.

2. Data Availability & Platform Monitoring

• Ensure high availability, completeness, accuracy, and timeliness of data.
• Proactively monitor ETL pipelines and data platforms.
• Maintain operational surveillance of system health and performance.

3. Incident, Recovery & Root Cause Management

• Lead incident triage and recovery.
• Own root cause analysis and permanent corrective actions.
• Maintain incident and RCA repositories.

4. SLA & Service Delivery Management

• Own upstream and downstream SLAs.
• Maintain daily, weekly, and monthly SLA reporting.
• Ensure delivery against business and regulatory timelines.

5. Cross-Team & Vendor Coordination

• Coordinate with functional, development, platform, infrastructure, and vendor teams.

6. Change, Audit & Compliance Support

• Support change management.
• Engage auditors and compliance teams with evidence and controls.

7. Team Management & Capability Development

• Manage performance, capacity, and utilisation.
• Coach and mentor team members.

8. Operational Excellence & Automation

• Drive automation and standardisation.
• Develop operations workbooks, run books, and manuals.

Key Systems & Platforms

• Teradata, Informatica, Hadoop / CDP, Enterprise Data Platforms, Cloud Data Platforms (AWS/Azure – desirable)

Required Experience & Skills Experience

• 10–12+ years in enterprise data operations or data engineering.
• 3–5 years in a team lead role.
• Experience in regulated environments.

Technical & Forward‑Looking Skills

• Strong knowledge of enterprise data platforms and ETL.
• Exposure to cloud data platforms and migration programs.
• Understanding of modern data architecture, automation, and DevOps concepts.
• Design thinking mindset to improve operational models and service delivery.

Leadership & Governance

• Proven people leadership.
• Strong stakeholder and vendor management.
• Comfortable engaging auditors and senior management.

Key Competencies

Operational leadership, incident management, cross-team coordination, analytical problem solving, continuous improvement, cloud readiness, and innovation mindset.