Job Title :
Control-M Scheduler – z / OS Mainframe
Location :
Chennai, Noida, Bangalore (Hybrid)
Employment Type : Full-Time
Experience : 3–7 years
Control-M Scheduler – z / OS Mainframe
Role Summary :
The Control-M Scheduler is responsible for defining, managing, and monitoring batch job schedules using BMC Control-M on IBM z / OS systems. This role ensures efficient and reliable job execution across enterprise workloads, supporting business-critical operations.
Key Responsibilities :
Job Scheduling & Management :
Create and maintain job scheduling definitions using Control-M for z / OS
Define calendars (regular, periodic, rule-based) and SMART tables for job execution
Manage job dependencies, conditions, and resources.
Monitoring & Troubleshooting :
Monitor active jobs and resolve scheduling conflicts or job failures.
Use Control-M Monitor and Event Manager (CMEM) to track job execution and handle exceptions
Automation & Optimization :
Implement New Day processing and automate job submission workflows
Use AutoEdit variables to dynamically modify JCL at runtime
Collaboration & Support :
Work with application teams, DBAs, and system programmers to align job schedules with business needs.
Provide on-call support for job failures and scheduling issues.
Documentation & Compliance :
Maintain documentation for job definitions, scheduling rules, and operational procedures.
Ensure compliance with internal standards and audit requirements.
Required Skills & Qualifications :
Technical Expertise :
Strong knowledge of Control-M for z / OS, JCL, and z / OS batch processing.
Familiarity with IOA (Integrated Operations Architecture) and Control-M components like CMEM, AutoEdit, and SMART Tables
Experience : 3–7 years
Experience with Control-M utilities and troubleshooting tools.
Soft Skills :
Strong analytical and problem-solving skills.
Excellent communication and coordination abilities.
Ability to work independently and in cross-functional teams.
Preferred Qualifications :
BMC Control-M certification or equivalent training.
Experience in large-scale enterprise environments with complex batch workflows.
Scheduler • Delhi, Delhi, India