Technology Infrastructure, Group Infrastructure & Platform Services

Job Description:
Define and setup Job flows in Control-M across multi-platform systems( Mainframe, AS/400, Unix, Windows)

Check daily job scheduled and liaise with Vendors on incidents and problems related to Control-M

Liaise with teams on batch job setup requirements and also work with Business units on authorized adhoc requests

Assist in troubleshooting problems related to Control-M upon escalation

Provide support to ensure quality and stable environment to our clients

Create support documentation to reduce meantime to resolve issues

Flexibility and Availability to work for production support during early morning/late eve/ night hours and weekends

leads and manages OJS teams across IH2 and Singapore, ensuring effective delivery of enterprise-wide batch scheduling services

Serves as the Subject Matter Expert (SME) for Control M, the bank’s enterprise batch scheduling platform

Manage staff-related maintenance, roster, and handle special project related requirements

JobRequirements:

• Bachelors’ Degree or Diploma in Computer Science or IT related field.
• At least 5 years’ relevant experience preferably in a Finance Institution.
• Must have Control-M Workload Automation / Job scheduling hands-on experience on Batch processing in large-scale or banking environments of at least 5 yrs and above; preferably with version 9.X
• Experience in using Control-M Utilities for AS400, Mainframe and Open Systems
• Integration experience with CI/CD pipelines (e.g., Jenkins, Git-based deployment of Control‑M jobs) and APIs (Control‑M Automation API is a plus)
• Proficient in using MS Office Suite of Products
• Good analytical and problem-solving skills
• Operations Support and proactive monitoring
• Proven ability to work independently and under pressure
• Willing to extend work on weekends and as when required
• Oversee incident, problem, and change management related to batch jobs and scheduling.
• Act as L2 escalation point for critical failures and production issues.
• Drive continuous improvement in automation, monitoring, and scheduling efficiency